Activity grouping (except CNAE 56, 64-66 and 95.1)	Main variables	Size of the enterprise	Total
Total Enterprises	I.1 % of enterprises that analyzed Big Data	Total	8.31
Total Enterprises	I.1 % of enterprises that analyzed Big Data	From 10 to 49	6.73
Total Enterprises	I.1 % of enterprises that analyzed Big Data	From 50 to 249	13.32
Total Enterprises	I.1 % of enterprises that analyzed Big Data	250 or more	29.84
Total Enterprises	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	Total	42.29
Total Enterprises	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	From 10 to 49	38.21
Total Enterprises	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	From 50 to 249	45.19
Total Enterprises	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	250 or more	63.04
Total Enterprises	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	Total	47.06
Total Enterprises	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	From 10 to 49	49.17
Total Enterprises	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	From 50 to 249	44.24
Total Enterprises	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	250 or more	39.39
Total Enterprises	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	Total	48.54
Total Enterprises	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	From 10 to 49	47.98
Total Enterprises	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	From 50 to 249	50.98
Total Enterprises	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	250 or more	46.65
Total Enterprises	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	Total	37.75
Total Enterprises	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	From 10 to 49	36.20
Total Enterprises	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	From 50 to 249	39.03
Total Enterprises	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	250 or more	45.26
Total Enterprises	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	Total	69.34
Total Enterprises	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	From 10 to 49	62.59
Total Enterprises	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	From 50 to 249	80.31
Total Enterprises	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	250 or more	89.50
Total Enterprises	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	Total	51.44
Total Enterprises	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	From 10 to 49	52.49
Total Enterprises	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	From 50 to 249	49.21
Total Enterprises	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	250 or more	49.51
Total Enterprises	I.3 % enterprises with specific training in Big Data (1)	Total	21.60
Total Enterprises	I.3 % enterprises with specific training in Big Data (1)	From 10 to 49	16.55
Total Enterprises	I.3 % enterprises with specific training in Big Data (1)	From 50 to 249	27.21
Total Enterprises	I.3 % enterprises with specific training in Big Data (1)	250 or more	42.67
Total Enterprises	I.4 % enterprises with Big Data training provided by external providers (1)	Total	16.88
Total Enterprises	I.4 % enterprises with Big Data training provided by external providers (1)	From 10 to 49	11.79
Total Enterprises	I.4 % enterprises with Big Data training provided by external providers (1)	From 50 to 249	23.89
Total Enterprises	I.4 % enterprises with Big Data training provided by external providers (1)	250 or more	35.04
Total Enterprises	I.5 % of enterprises that use open source software for Big Data analysis (1)	Total	56.37
Total Enterprises	I.5 % of enterprises that use open source software for Big Data analysis (1)	From 10 to 49	54.02
Total Enterprises	I.5 % of enterprises that use open source software for Big Data analysis (1)	From 50 to 249	60.13
Total Enterprises	I.5 % of enterprises that use open source software for Big Data analysis (1)	250 or more	63.47
1. Total Industry (CNAE 10-39)	I.1 % of enterprises that analyzed Big Data	Total	5.77
1. Total Industry (CNAE 10-39)	I.1 % of enterprises that analyzed Big Data	From 10 to 49	4.03
1. Total Industry (CNAE 10-39)	I.1 % of enterprises that analyzed Big Data	From 50 to 249	9.59
1. Total Industry (CNAE 10-39)	I.1 % of enterprises that analyzed Big Data	250 or more	28.45
1. Total Industry (CNAE 10-39)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	Total	52.30
1. Total Industry (CNAE 10-39)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	From 10 to 49	41.36
1. Total Industry (CNAE 10-39)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	From 50 to 249	59.05
1. Total Industry (CNAE 10-39)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	250 or more	78.41
1. Total Industry (CNAE 10-39)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	Total	44.51
1. Total Industry (CNAE 10-39)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	From 10 to 49	50.84
1. Total Industry (CNAE 10-39)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	From 50 to 249	37.14
1. Total Industry (CNAE 10-39)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	250 or more	35.46
1. Total Industry (CNAE 10-39)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	Total	36.87
1. Total Industry (CNAE 10-39)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	From 10 to 49	36.45
1. Total Industry (CNAE 10-39)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	From 50 to 249	39.66
1. Total Industry (CNAE 10-39)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	250 or more	33.43
1. Total Industry (CNAE 10-39)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	Total	25.59
1. Total Industry (CNAE 10-39)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	From 10 to 49	25.58
1. Total Industry (CNAE 10-39)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	From 50 to 249	19.91
1. Total Industry (CNAE 10-39)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	250 or more	35.54
1. Total Industry (CNAE 10-39)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	Total	69.86
1. Total Industry (CNAE 10-39)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	From 10 to 49	60.18
1. Total Industry (CNAE 10-39)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	From 50 to 249	77.64
1. Total Industry (CNAE 10-39)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	250 or more	89.81
1. Total Industry (CNAE 10-39)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	Total	53.75
1. Total Industry (CNAE 10-39)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	From 10 to 49	53.83
1. Total Industry (CNAE 10-39)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	From 50 to 249	54.42
1. Total Industry (CNAE 10-39)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	250 or more	52.32
1. Total Industry (CNAE 10-39)	I.3 % enterprises with specific training in Big Data (1)	Total	23.04
1. Total Industry (CNAE 10-39)	I.3 % enterprises with specific training in Big Data (1)	From 10 to 49	16.60
1. Total Industry (CNAE 10-39)	I.3 % enterprises with specific training in Big Data (1)	From 50 to 249	25.54
1. Total Industry (CNAE 10-39)	I.3 % enterprises with specific training in Big Data (1)	250 or more	40.97
1. Total Industry (CNAE 10-39)	I.4 % enterprises with Big Data training provided by external providers (1)	Total	20.78
1. Total Industry (CNAE 10-39)	I.4 % enterprises with Big Data training provided by external providers (1)	From 10 to 49	15.89
1. Total Industry (CNAE 10-39)	I.4 % enterprises with Big Data training provided by external providers (1)	From 50 to 249	22.37
1. Total Industry (CNAE 10-39)	I.4 % enterprises with Big Data training provided by external providers (1)	250 or more	34.92
1. Total Industry (CNAE 10-39)	I.5 % of enterprises that use open source software for Big Data analysis (1)	Total	54.97
1. Total Industry (CNAE 10-39)	I.5 % of enterprises that use open source software for Big Data analysis (1)	From 10 to 49	53.37
1. Total Industry (CNAE 10-39)	I.5 % of enterprises that use open source software for Big Data analysis (1)	From 50 to 249	54.73
1. Total Industry (CNAE 10-39)	I.5 % of enterprises that use open source software for Big Data analysis (1)	250 or more	60.92
1.1. Food, beverages, tobacco, textile, clothing, leather and footwear, wood and cork, paper, graphic arts and reproduction of recorded media (CNAE 10-18)	I.1 % of enterprises that analyzed Big Data	Total	3.74
1.1. Food, beverages, tobacco, textile, clothing, leather and footwear, wood and cork, paper, graphic arts and reproduction of recorded media (CNAE 10-18)	I.1 % of enterprises that analyzed Big Data	From 10 to 49	1.97
1.1. Food, beverages, tobacco, textile, clothing, leather and footwear, wood and cork, paper, graphic arts and reproduction of recorded media (CNAE 10-18)	I.1 % of enterprises that analyzed Big Data	From 50 to 249	9.98
1.1. Food, beverages, tobacco, textile, clothing, leather and footwear, wood and cork, paper, graphic arts and reproduction of recorded media (CNAE 10-18)	I.1 % of enterprises that analyzed Big Data	250 or more	26.44
1.1. Food, beverages, tobacco, textile, clothing, leather and footwear, wood and cork, paper, graphic arts and reproduction of recorded media (CNAE 10-18)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	Total	44.69
1.1. Food, beverages, tobacco, textile, clothing, leather and footwear, wood and cork, paper, graphic arts and reproduction of recorded media (CNAE 10-18)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	From 10 to 49	40.42
1.1. Food, beverages, tobacco, textile, clothing, leather and footwear, wood and cork, paper, graphic arts and reproduction of recorded media (CNAE 10-18)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	From 50 to 249	40.84
1.1. Food, beverages, tobacco, textile, clothing, leather and footwear, wood and cork, paper, graphic arts and reproduction of recorded media (CNAE 10-18)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	250 or more	65.09
1.1. Food, beverages, tobacco, textile, clothing, leather and footwear, wood and cork, paper, graphic arts and reproduction of recorded media (CNAE 10-18)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	Total	46.64
1.1. Food, beverages, tobacco, textile, clothing, leather and footwear, wood and cork, paper, graphic arts and reproduction of recorded media (CNAE 10-18)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	From 10 to 49	59.39
1.1. Food, beverages, tobacco, textile, clothing, leather and footwear, wood and cork, paper, graphic arts and reproduction of recorded media (CNAE 10-18)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	From 50 to 249	33.91
1.1. Food, beverages, tobacco, textile, clothing, leather and footwear, wood and cork, paper, graphic arts and reproduction of recorded media (CNAE 10-18)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	250 or more	43.72
1.1. Food, beverages, tobacco, textile, clothing, leather and footwear, wood and cork, paper, graphic arts and reproduction of recorded media (CNAE 10-18)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	Total	32.06
1.1. Food, beverages, tobacco, textile, clothing, leather and footwear, wood and cork, paper, graphic arts and reproduction of recorded media (CNAE 10-18)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	From 10 to 49	15.47
1.1. Food, beverages, tobacco, textile, clothing, leather and footwear, wood and cork, paper, graphic arts and reproduction of recorded media (CNAE 10-18)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	From 50 to 249	46.79
1.1. Food, beverages, tobacco, textile, clothing, leather and footwear, wood and cork, paper, graphic arts and reproduction of recorded media (CNAE 10-18)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	250 or more	40.22
1.1. Food, beverages, tobacco, textile, clothing, leather and footwear, wood and cork, paper, graphic arts and reproduction of recorded media (CNAE 10-18)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	Total	23.76
1.1. Food, beverages, tobacco, textile, clothing, leather and footwear, wood and cork, paper, graphic arts and reproduction of recorded media (CNAE 10-18)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	From 10 to 49	21.82
1.1. Food, beverages, tobacco, textile, clothing, leather and footwear, wood and cork, paper, graphic arts and reproduction of recorded media (CNAE 10-18)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	From 50 to 249	26.31
1.1. Food, beverages, tobacco, textile, clothing, leather and footwear, wood and cork, paper, graphic arts and reproduction of recorded media (CNAE 10-18)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	250 or more	22.69
1.1. Food, beverages, tobacco, textile, clothing, leather and footwear, wood and cork, paper, graphic arts and reproduction of recorded media (CNAE 10-18)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	Total	60.63
1.1. Food, beverages, tobacco, textile, clothing, leather and footwear, wood and cork, paper, graphic arts and reproduction of recorded media (CNAE 10-18)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	From 10 to 49	36.36
1.1. Food, beverages, tobacco, textile, clothing, leather and footwear, wood and cork, paper, graphic arts and reproduction of recorded media (CNAE 10-18)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	From 50 to 249	76.02
1.1. Food, beverages, tobacco, textile, clothing, leather and footwear, wood and cork, paper, graphic arts and reproduction of recorded media (CNAE 10-18)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	250 or more	87.35
1.1. Food, beverages, tobacco, textile, clothing, leather and footwear, wood and cork, paper, graphic arts and reproduction of recorded media (CNAE 10-18)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	Total	59.79
1.1. Food, beverages, tobacco, textile, clothing, leather and footwear, wood and cork, paper, graphic arts and reproduction of recorded media (CNAE 10-18)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	From 10 to 49	69.69
1.1. Food, beverages, tobacco, textile, clothing, leather and footwear, wood and cork, paper, graphic arts and reproduction of recorded media (CNAE 10-18)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	From 50 to 249	50.43
1.1. Food, beverages, tobacco, textile, clothing, leather and footwear, wood and cork, paper, graphic arts and reproduction of recorded media (CNAE 10-18)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	250 or more	56.27
1.1. Food, beverages, tobacco, textile, clothing, leather and footwear, wood and cork, paper, graphic arts and reproduction of recorded media (CNAE 10-18)	I.3 % enterprises with specific training in Big Data (1)	Total	20.89
1.1. Food, beverages, tobacco, textile, clothing, leather and footwear, wood and cork, paper, graphic arts and reproduction of recorded media (CNAE 10-18)	I.3 % enterprises with specific training in Big Data (1)	From 10 to 49	12.04
1.1. Food, beverages, tobacco, textile, clothing, leather and footwear, wood and cork, paper, graphic arts and reproduction of recorded media (CNAE 10-18)	I.3 % enterprises with specific training in Big Data (1)	From 50 to 249	24.35
1.1. Food, beverages, tobacco, textile, clothing, leather and footwear, wood and cork, paper, graphic arts and reproduction of recorded media (CNAE 10-18)	I.3 % enterprises with specific training in Big Data (1)	250 or more	35.81
1.1. Food, beverages, tobacco, textile, clothing, leather and footwear, wood and cork, paper, graphic arts and reproduction of recorded media (CNAE 10-18)	I.4 % enterprises with Big Data training provided by external providers (1)	Total	18.25
1.1. Food, beverages, tobacco, textile, clothing, leather and footwear, wood and cork, paper, graphic arts and reproduction of recorded media (CNAE 10-18)	I.4 % enterprises with Big Data training provided by external providers (1)	From 10 to 49	12.04
1.1. Food, beverages, tobacco, textile, clothing, leather and footwear, wood and cork, paper, graphic arts and reproduction of recorded media (CNAE 10-18)	I.4 % enterprises with Big Data training provided by external providers (1)	From 50 to 249	20.59
1.1. Food, beverages, tobacco, textile, clothing, leather and footwear, wood and cork, paper, graphic arts and reproduction of recorded media (CNAE 10-18)	I.4 % enterprises with Big Data training provided by external providers (1)	250 or more	28.91
1.1. Food, beverages, tobacco, textile, clothing, leather and footwear, wood and cork, paper, graphic arts and reproduction of recorded media (CNAE 10-18)	I.5 % of enterprises that use open source software for Big Data analysis (1)	Total	37.66
1.1. Food, beverages, tobacco, textile, clothing, leather and footwear, wood and cork, paper, graphic arts and reproduction of recorded media (CNAE 10-18)	I.5 % of enterprises that use open source software for Big Data analysis (1)	From 10 to 49	15.77
1.1. Food, beverages, tobacco, textile, clothing, leather and footwear, wood and cork, paper, graphic arts and reproduction of recorded media (CNAE 10-18)	I.5 % of enterprises that use open source software for Big Data analysis (1)	From 50 to 249	57.60
1.1. Food, beverages, tobacco, textile, clothing, leather and footwear, wood and cork, paper, graphic arts and reproduction of recorded media (CNAE 10-18)	I.5 % of enterprises that use open source software for Big Data analysis (1)	250 or more	47.19
1.2 Coke and petroleum refining pharmaceutical products rubber and plastics non-metallic mineral products (CNAE 19-23)	I.1 % of enterprises that analyzed Big Data	Total	7.41
1.2 Coke and petroleum refining pharmaceutical products rubber and plastics non-metallic mineral products (CNAE 19-23)	I.1 % of enterprises that analyzed Big Data	From 10 to 49	5.99
1.2 Coke and petroleum refining pharmaceutical products rubber and plastics non-metallic mineral products (CNAE 19-23)	I.1 % of enterprises that analyzed Big Data	From 50 to 249	7.98
1.2 Coke and petroleum refining pharmaceutical products rubber and plastics non-metallic mineral products (CNAE 19-23)	I.1 % of enterprises that analyzed Big Data	250 or more	26.56
1.2 Coke and petroleum refining pharmaceutical products rubber and plastics non-metallic mineral products (CNAE 19-23)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	Total	60.68
1.2 Coke and petroleum refining pharmaceutical products rubber and plastics non-metallic mineral products (CNAE 19-23)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	From 10 to 49	60.14
1.2 Coke and petroleum refining pharmaceutical products rubber and plastics non-metallic mineral products (CNAE 19-23)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	From 50 to 249	50.06
1.2 Coke and petroleum refining pharmaceutical products rubber and plastics non-metallic mineral products (CNAE 19-23)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	250 or more	77.41
1.2 Coke and petroleum refining pharmaceutical products rubber and plastics non-metallic mineral products (CNAE 19-23)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	Total	28.59
1.2 Coke and petroleum refining pharmaceutical products rubber and plastics non-metallic mineral products (CNAE 19-23)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	From 10 to 49	28.90
1.2 Coke and petroleum refining pharmaceutical products rubber and plastics non-metallic mineral products (CNAE 19-23)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	From 50 to 249	37.73
1.2 Coke and petroleum refining pharmaceutical products rubber and plastics non-metallic mineral products (CNAE 19-23)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	250 or more	14.71
1.2 Coke and petroleum refining pharmaceutical products rubber and plastics non-metallic mineral products (CNAE 19-23)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	Total	32.27
1.2 Coke and petroleum refining pharmaceutical products rubber and plastics non-metallic mineral products (CNAE 19-23)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	From 10 to 49	22.17
1.2 Coke and petroleum refining pharmaceutical products rubber and plastics non-metallic mineral products (CNAE 19-23)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	From 50 to 249	52.42
1.2 Coke and petroleum refining pharmaceutical products rubber and plastics non-metallic mineral products (CNAE 19-23)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	250 or more	39.03
1.2 Coke and petroleum refining pharmaceutical products rubber and plastics non-metallic mineral products (CNAE 19-23)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	Total	21.15
1.2 Coke and petroleum refining pharmaceutical products rubber and plastics non-metallic mineral products (CNAE 19-23)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	From 10 to 49	18.41
1.2 Coke and petroleum refining pharmaceutical products rubber and plastics non-metallic mineral products (CNAE 19-23)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	From 50 to 249	14.42
1.2 Coke and petroleum refining pharmaceutical products rubber and plastics non-metallic mineral products (CNAE 19-23)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	250 or more	40.09
1.2 Coke and petroleum refining pharmaceutical products rubber and plastics non-metallic mineral products (CNAE 19-23)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	Total	69.66
1.2 Coke and petroleum refining pharmaceutical products rubber and plastics non-metallic mineral products (CNAE 19-23)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	From 10 to 49	57.92
1.2 Coke and petroleum refining pharmaceutical products rubber and plastics non-metallic mineral products (CNAE 19-23)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	From 50 to 249	82.18
1.2 Coke and petroleum refining pharmaceutical products rubber and plastics non-metallic mineral products (CNAE 19-23)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	250 or more	92.81
1.2 Coke and petroleum refining pharmaceutical products rubber and plastics non-metallic mineral products (CNAE 19-23)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	Total	51.25
1.2 Coke and petroleum refining pharmaceutical products rubber and plastics non-metallic mineral products (CNAE 19-23)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	From 10 to 49	44.43
1.2 Coke and petroleum refining pharmaceutical products rubber and plastics non-metallic mineral products (CNAE 19-23)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	From 50 to 249	73.80
1.2 Coke and petroleum refining pharmaceutical products rubber and plastics non-metallic mineral products (CNAE 19-23)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	250 or more	43.24
1.2 Coke and petroleum refining pharmaceutical products rubber and plastics non-metallic mineral products (CNAE 19-23)	I.3 % enterprises with specific training in Big Data (1)	Total	21.77
1.2 Coke and petroleum refining pharmaceutical products rubber and plastics non-metallic mineral products (CNAE 19-23)	I.3 % enterprises with specific training in Big Data (1)	From 10 to 49	9.93
1.2 Coke and petroleum refining pharmaceutical products rubber and plastics non-metallic mineral products (CNAE 19-23)	I.3 % enterprises with specific training in Big Data (1)	From 50 to 249	37.83
1.2 Coke and petroleum refining pharmaceutical products rubber and plastics non-metallic mineral products (CNAE 19-23)	I.3 % enterprises with specific training in Big Data (1)	250 or more	40.26
1.2 Coke and petroleum refining pharmaceutical products rubber and plastics non-metallic mineral products (CNAE 19-23)	I.4 % enterprises with Big Data training provided by external providers (1)	Total	17.91
1.2 Coke and petroleum refining pharmaceutical products rubber and plastics non-metallic mineral products (CNAE 19-23)	I.4 % enterprises with Big Data training provided by external providers (1)	From 10 to 49	9.93
1.2 Coke and petroleum refining pharmaceutical products rubber and plastics non-metallic mineral products (CNAE 19-23)	I.4 % enterprises with Big Data training provided by external providers (1)	From 50 to 249	26.37
1.2 Coke and petroleum refining pharmaceutical products rubber and plastics non-metallic mineral products (CNAE 19-23)	I.4 % enterprises with Big Data training provided by external providers (1)	250 or more	33.67
1.2 Coke and petroleum refining pharmaceutical products rubber and plastics non-metallic mineral products (CNAE 19-23)	I.5 % of enterprises that use open source software for Big Data analysis (1)	Total	50.73
1.2 Coke and petroleum refining pharmaceutical products rubber and plastics non-metallic mineral products (CNAE 19-23)	I.5 % of enterprises that use open source software for Big Data analysis (1)	From 10 to 49	45.96
1.2 Coke and petroleum refining pharmaceutical products rubber and plastics non-metallic mineral products (CNAE 19-23)	I.5 % of enterprises that use open source software for Big Data analysis (1)	From 50 to 249	47.57
1.2 Coke and petroleum refining pharmaceutical products rubber and plastics non-metallic mineral products (CNAE 19-23)	I.5 % of enterprises that use open source software for Big Data analysis (1)	250 or more	71.70
1.3 Metallurgy, manufacture of metallic products (CNAE 24-25)	I.1 % of enterprises that analyzed Big Data	Total	4.36
1.3 Metallurgy, manufacture of metallic products (CNAE 24-25)	I.1 % of enterprises that analyzed Big Data	From 10 to 49	3.21
1.3 Metallurgy, manufacture of metallic products (CNAE 24-25)	I.1 % of enterprises that analyzed Big Data	From 50 to 249	8.03
1.3 Metallurgy, manufacture of metallic products (CNAE 24-25)	I.1 % of enterprises that analyzed Big Data	250 or more	25.38
1.3 Metallurgy, manufacture of metallic products (CNAE 24-25)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	Total	54.29
1.3 Metallurgy, manufacture of metallic products (CNAE 24-25)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	From 10 to 49	32.47
1.3 Metallurgy, manufacture of metallic products (CNAE 24-25)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	From 50 to 249	88.81
1.3 Metallurgy, manufacture of metallic products (CNAE 24-25)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	250 or more	89.69
1.3 Metallurgy, manufacture of metallic products (CNAE 24-25)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	Total	45.76
1.3 Metallurgy, manufacture of metallic products (CNAE 24-25)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	From 10 to 49	54.68
1.3 Metallurgy, manufacture of metallic products (CNAE 24-25)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	From 50 to 249	31.21
1.3 Metallurgy, manufacture of metallic products (CNAE 24-25)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	250 or more	32.25
1.3 Metallurgy, manufacture of metallic products (CNAE 24-25)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	Total	29.99
1.3 Metallurgy, manufacture of metallic products (CNAE 24-25)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	From 10 to 49	40.81
1.3 Metallurgy, manufacture of metallic products (CNAE 24-25)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	From 50 to 249	10.48
1.3 Metallurgy, manufacture of metallic products (CNAE 24-25)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	250 or more	17.88
1.3 Metallurgy, manufacture of metallic products (CNAE 24-25)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	Total	29.62
1.3 Metallurgy, manufacture of metallic products (CNAE 24-25)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	From 10 to 49	30.10
1.3 Metallurgy, manufacture of metallic products (CNAE 24-25)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	From 50 to 249	24.23
1.3 Metallurgy, manufacture of metallic products (CNAE 24-25)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	250 or more	39.48
1.3 Metallurgy, manufacture of metallic products (CNAE 24-25)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	Total	81.51
1.3 Metallurgy, manufacture of metallic products (CNAE 24-25)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	From 10 to 49	79.90
1.3 Metallurgy, manufacture of metallic products (CNAE 24-25)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	From 50 to 249	81.87
1.3 Metallurgy, manufacture of metallic products (CNAE 24-25)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	250 or more	89.18
1.3 Metallurgy, manufacture of metallic products (CNAE 24-25)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	Total	39.85
1.3 Metallurgy, manufacture of metallic products (CNAE 24-25)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	From 10 to 49	35.15
1.3 Metallurgy, manufacture of metallic products (CNAE 24-25)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	From 50 to 249	41.79
1.3 Metallurgy, manufacture of metallic products (CNAE 24-25)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	250 or more	60.14
1.3 Metallurgy, manufacture of metallic products (CNAE 24-25)	I.3 % enterprises with specific training in Big Data (1)	Total	8.36
1.3 Metallurgy, manufacture of metallic products (CNAE 24-25)	I.3 % enterprises with specific training in Big Data (1)	From 10 to 49	0.00
1.3 Metallurgy, manufacture of metallic products (CNAE 24-25)	I.3 % enterprises with specific training in Big Data (1)	From 50 to 249	17.19
1.3 Metallurgy, manufacture of metallic products (CNAE 24-25)	I.3 % enterprises with specific training in Big Data (1)	250 or more	32.01
1.3 Metallurgy, manufacture of metallic products (CNAE 24-25)	I.4 % enterprises with Big Data training provided by external providers (1)	Total	8.36
1.3 Metallurgy, manufacture of metallic products (CNAE 24-25)	I.4 % enterprises with Big Data training provided by external providers (1)	From 10 to 49	0.00
1.3 Metallurgy, manufacture of metallic products (CNAE 24-25)	I.4 % enterprises with Big Data training provided by external providers (1)	From 50 to 249	17.19
1.3 Metallurgy, manufacture of metallic products (CNAE 24-25)	I.4 % enterprises with Big Data training provided by external providers (1)	250 or more	32.01
1.3 Metallurgy, manufacture of metallic products (CNAE 24-25)	I.5 % of enterprises that use open source software for Big Data analysis (1)	Total	53.43
1.3 Metallurgy, manufacture of metallic products (CNAE 24-25)	I.5 % of enterprises that use open source software for Big Data analysis (1)	From 10 to 49	48.06
1.3 Metallurgy, manufacture of metallic products (CNAE 24-25)	I.5 % of enterprises that use open source software for Big Data analysis (1)	From 50 to 249	66.87
1.3 Metallurgy, manufacture of metallic products (CNAE 24-25)	I.5 % of enterprises that use open source software for Big Data analysis (1)	250 or more	50.80
1.4. Computer, electronic and optical products electric equipment, machinery and mechanical equipment motor vehicles transport material furniture manufacturing industry, repair of machinery and equipment (CNAE 26-33)	I.1 % of enterprises that analyzed Big Data	Total	7.75
1.4. Computer, electronic and optical products electric equipment, machinery and mechanical equipment motor vehicles transport material furniture manufacturing industry, repair of machinery and equipment (CNAE 26-33)	I.1 % of enterprises that analyzed Big Data	From 10 to 49	6.73
1.4. Computer, electronic and optical products electric equipment, machinery and mechanical equipment motor vehicles transport material furniture manufacturing industry, repair of machinery and equipment (CNAE 26-33)	I.1 % of enterprises that analyzed Big Data	From 50 to 249	8.62
1.4. Computer, electronic and optical products electric equipment, machinery and mechanical equipment motor vehicles transport material furniture manufacturing industry, repair of machinery and equipment (CNAE 26-33)	I.1 % of enterprises that analyzed Big Data	250 or more	23.94
1.4. Computer, electronic and optical products electric equipment, machinery and mechanical equipment motor vehicles transport material furniture manufacturing industry, repair of machinery and equipment (CNAE 26-33)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	Total	50.67
1.4. Computer, electronic and optical products electric equipment, machinery and mechanical equipment motor vehicles transport material furniture manufacturing industry, repair of machinery and equipment (CNAE 26-33)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	From 10 to 49	38.60
1.4. Computer, electronic and optical products electric equipment, machinery and mechanical equipment motor vehicles transport material furniture manufacturing industry, repair of machinery and equipment (CNAE 26-33)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	From 50 to 249	74.59
1.4. Computer, electronic and optical products electric equipment, machinery and mechanical equipment motor vehicles transport material furniture manufacturing industry, repair of machinery and equipment (CNAE 26-33)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	250 or more	78.16
1.4. Computer, electronic and optical products electric equipment, machinery and mechanical equipment motor vehicles transport material furniture manufacturing industry, repair of machinery and equipment (CNAE 26-33)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	Total	43.31
1.4. Computer, electronic and optical products electric equipment, machinery and mechanical equipment motor vehicles transport material furniture manufacturing industry, repair of machinery and equipment (CNAE 26-33)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	From 10 to 49	49.44
1.4. Computer, electronic and optical products electric equipment, machinery and mechanical equipment motor vehicles transport material furniture manufacturing industry, repair of machinery and equipment (CNAE 26-33)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	From 50 to 249	33.23
1.4. Computer, electronic and optical products electric equipment, machinery and mechanical equipment motor vehicles transport material furniture manufacturing industry, repair of machinery and equipment (CNAE 26-33)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	250 or more	25.97
1.4. Computer, electronic and optical products electric equipment, machinery and mechanical equipment motor vehicles transport material furniture manufacturing industry, repair of machinery and equipment (CNAE 26-33)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	Total	49.65
1.4. Computer, electronic and optical products electric equipment, machinery and mechanical equipment motor vehicles transport material furniture manufacturing industry, repair of machinery and equipment (CNAE 26-33)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	From 10 to 49	56.33
1.4. Computer, electronic and optical products electric equipment, machinery and mechanical equipment motor vehicles transport material furniture manufacturing industry, repair of machinery and equipment (CNAE 26-33)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	From 50 to 249	42.53
1.4. Computer, electronic and optical products electric equipment, machinery and mechanical equipment motor vehicles transport material furniture manufacturing industry, repair of machinery and equipment (CNAE 26-33)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	250 or more	24.28
1.4. Computer, electronic and optical products electric equipment, machinery and mechanical equipment motor vehicles transport material furniture manufacturing industry, repair of machinery and equipment (CNAE 26-33)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	Total	28.71
1.4. Computer, electronic and optical products electric equipment, machinery and mechanical equipment motor vehicles transport material furniture manufacturing industry, repair of machinery and equipment (CNAE 26-33)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	From 10 to 49	34.27
1.4. Computer, electronic and optical products electric equipment, machinery and mechanical equipment motor vehicles transport material furniture manufacturing industry, repair of machinery and equipment (CNAE 26-33)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	From 50 to 249	12.10
1.4. Computer, electronic and optical products electric equipment, machinery and mechanical equipment motor vehicles transport material furniture manufacturing industry, repair of machinery and equipment (CNAE 26-33)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	250 or more	25.28
1.4. Computer, electronic and optical products electric equipment, machinery and mechanical equipment motor vehicles transport material furniture manufacturing industry, repair of machinery and equipment (CNAE 26-33)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	Total	71.94
1.4. Computer, electronic and optical products electric equipment, machinery and mechanical equipment motor vehicles transport material furniture manufacturing industry, repair of machinery and equipment (CNAE 26-33)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	From 10 to 49	63.05
1.4. Computer, electronic and optical products electric equipment, machinery and mechanical equipment motor vehicles transport material furniture manufacturing industry, repair of machinery and equipment (CNAE 26-33)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	From 50 to 249	88.53
1.4. Computer, electronic and optical products electric equipment, machinery and mechanical equipment motor vehicles transport material furniture manufacturing industry, repair of machinery and equipment (CNAE 26-33)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	250 or more	93.85
1.4. Computer, electronic and optical products electric equipment, machinery and mechanical equipment motor vehicles transport material furniture manufacturing industry, repair of machinery and equipment (CNAE 26-33)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	Total	53.90
1.4. Computer, electronic and optical products electric equipment, machinery and mechanical equipment motor vehicles transport material furniture manufacturing industry, repair of machinery and equipment (CNAE 26-33)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	From 10 to 49	57.22
1.4. Computer, electronic and optical products electric equipment, machinery and mechanical equipment motor vehicles transport material furniture manufacturing industry, repair of machinery and equipment (CNAE 26-33)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	From 50 to 249	48.93
1.4. Computer, electronic and optical products electric equipment, machinery and mechanical equipment motor vehicles transport material furniture manufacturing industry, repair of machinery and equipment (CNAE 26-33)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	250 or more	43.62
1.4. Computer, electronic and optical products electric equipment, machinery and mechanical equipment motor vehicles transport material furniture manufacturing industry, repair of machinery and equipment (CNAE 26-33)	I.3 % enterprises with specific training in Big Data (1)	Total	30.21
1.4. Computer, electronic and optical products electric equipment, machinery and mechanical equipment motor vehicles transport material furniture manufacturing industry, repair of machinery and equipment (CNAE 26-33)	I.3 % enterprises with specific training in Big Data (1)	From 10 to 49	30.16
1.4. Computer, electronic and optical products electric equipment, machinery and mechanical equipment motor vehicles transport material furniture manufacturing industry, repair of machinery and equipment (CNAE 26-33)	I.3 % enterprises with specific training in Big Data (1)	From 50 to 249	26.77
1.4. Computer, electronic and optical products electric equipment, machinery and mechanical equipment motor vehicles transport material furniture manufacturing industry, repair of machinery and equipment (CNAE 26-33)	I.3 % enterprises with specific training in Big Data (1)	250 or more	36.16
1.4. Computer, electronic and optical products electric equipment, machinery and mechanical equipment motor vehicles transport material furniture manufacturing industry, repair of machinery and equipment (CNAE 26-33)	I.4 % enterprises with Big Data training provided by external providers (1)	Total	29.08
1.4. Computer, electronic and optical products electric equipment, machinery and mechanical equipment motor vehicles transport material furniture manufacturing industry, repair of machinery and equipment (CNAE 26-33)	I.4 % enterprises with Big Data training provided by external providers (1)	From 10 to 49	30.16
1.4. Computer, electronic and optical products electric equipment, machinery and mechanical equipment motor vehicles transport material furniture manufacturing industry, repair of machinery and equipment (CNAE 26-33)	I.4 % enterprises with Big Data training provided by external providers (1)	From 50 to 249	26.77
1.4. Computer, electronic and optical products electric equipment, machinery and mechanical equipment motor vehicles transport material furniture manufacturing industry, repair of machinery and equipment (CNAE 26-33)	I.4 % enterprises with Big Data training provided by external providers (1)	250 or more	26.91
1.4. Computer, electronic and optical products electric equipment, machinery and mechanical equipment motor vehicles transport material furniture manufacturing industry, repair of machinery and equipment (CNAE 26-33)	I.5 % of enterprises that use open source software for Big Data analysis (1)	Total	64.50
1.4. Computer, electronic and optical products electric equipment, machinery and mechanical equipment motor vehicles transport material furniture manufacturing industry, repair of machinery and equipment (CNAE 26-33)	I.5 % of enterprises that use open source software for Big Data analysis (1)	From 10 to 49	71.03
1.4. Computer, electronic and optical products electric equipment, machinery and mechanical equipment motor vehicles transport material furniture manufacturing industry, repair of machinery and equipment (CNAE 26-33)	I.5 % of enterprises that use open source software for Big Data analysis (1)	From 50 to 249	42.07
1.4. Computer, electronic and optical products electric equipment, machinery and mechanical equipment motor vehicles transport material furniture manufacturing industry, repair of machinery and equipment (CNAE 26-33)	I.5 % of enterprises that use open source software for Big Data analysis (1)	250 or more	65.38
1.5. Energy and water (CNAE 35-39)	I.1 % of enterprises that analyzed Big Data	Total	12.11
1.5. Energy and water (CNAE 35-39)	I.1 % of enterprises that analyzed Big Data	From 10 to 49	6.05
1.5. Energy and water (CNAE 35-39)	I.1 % of enterprises that analyzed Big Data	From 50 to 249	20.40
1.5. Energy and water (CNAE 35-39)	I.1 % of enterprises that analyzed Big Data	250 or more	51.28
1.5. Energy and water (CNAE 35-39)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	Total	57.46
1.5. Energy and water (CNAE 35-39)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	From 10 to 49	24.89
1.5. Energy and water (CNAE 35-39)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	From 50 to 249	62.90
1.5. Energy and water (CNAE 35-39)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	250 or more	91.04
1.5. Energy and water (CNAE 35-39)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	Total	68.97
1.5. Energy and water (CNAE 35-39)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	From 10 to 49	88.26
1.5. Energy and water (CNAE 35-39)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	From 50 to 249	57.80
1.5. Energy and water (CNAE 35-39)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	250 or more	57.98
1.5. Energy and water (CNAE 35-39)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	Total	27.50
1.5. Energy and water (CNAE 35-39)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	From 10 to 49	18.10
1.5. Energy and water (CNAE 35-39)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	From 50 to 249	28.73
1.5. Energy and water (CNAE 35-39)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	250 or more	37.58
1.5. Energy and water (CNAE 35-39)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	Total	23.41
1.5. Energy and water (CNAE 35-39)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	From 10 to 49	0.00
1.5. Energy and water (CNAE 35-39)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	From 50 to 249	18.54
1.5. Energy and water (CNAE 35-39)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	250 or more	57.37
1.5. Energy and water (CNAE 35-39)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	Total	70.79
1.5. Energy and water (CNAE 35-39)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	From 10 to 49	74.59
1.5. Energy and water (CNAE 35-39)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	From 50 to 249	53.41
1.5. Energy and water (CNAE 35-39)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	250 or more	85.59
1.5. Energy and water (CNAE 35-39)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	Total	61.18
1.5. Energy and water (CNAE 35-39)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	From 10 to 49	57.93
1.5. Energy and water (CNAE 35-39)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	From 50 to 249	63.46
1.5. Energy and water (CNAE 35-39)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	250 or more	62.59
1.5. Energy and water (CNAE 35-39)	I.3 % enterprises with specific training in Big Data (1)	Total	27.72
1.5. Energy and water (CNAE 35-39)	I.3 % enterprises with specific training in Big Data (1)	From 10 to 49	9.97
1.5. Energy and water (CNAE 35-39)	I.3 % enterprises with specific training in Big Data (1)	From 50 to 249	19.85
1.5. Energy and water (CNAE 35-39)	I.3 % enterprises with specific training in Big Data (1)	250 or more	58.16
1.5. Energy and water (CNAE 35-39)	I.4 % enterprises with Big Data training provided by external providers (1)	Total	22.99
1.5. Energy and water (CNAE 35-39)	I.4 % enterprises with Big Data training provided by external providers (1)	From 10 to 49	0.00
1.5. Energy and water (CNAE 35-39)	I.4 % enterprises with Big Data training provided by external providers (1)	From 50 to 249	19.85
1.5. Energy and water (CNAE 35-39)	I.4 % enterprises with Big Data training provided by external providers (1)	250 or more	54.50
1.5. Energy and water (CNAE 35-39)	I.5 % of enterprises that use open source software for Big Data analysis (1)	Total	76.17
1.5. Energy and water (CNAE 35-39)	I.5 % of enterprises that use open source software for Big Data analysis (1)	From 10 to 49	93.10
1.5. Energy and water (CNAE 35-39)	I.5 % of enterprises that use open source software for Big Data analysis (1)	From 50 to 249	65.62
1.5. Energy and water (CNAE 35-39)	I.5 % of enterprises that use open source software for Big Data analysis (1)	250 or more	67.36
2. Total Construction (CNAE 41-43)	I.1 % of enterprises that analyzed Big Data	Total	4.34
2. Total Construction (CNAE 41-43)	I.1 % of enterprises that analyzed Big Data	From 10 to 49	3.82
2. Total Construction (CNAE 41-43)	I.1 % of enterprises that analyzed Big Data	From 50 to 249	9.16
2. Total Construction (CNAE 41-43)	I.1 % of enterprises that analyzed Big Data	250 or more	9.63
2. Total Construction (CNAE 41-43)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	Total	21.15
2. Total Construction (CNAE 41-43)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	From 10 to 49	20.56
2. Total Construction (CNAE 41-43)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	From 50 to 249	21.76
2. Total Construction (CNAE 41-43)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	250 or more	42.38
2. Total Construction (CNAE 41-43)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	Total	60.15
2. Total Construction (CNAE 41-43)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	From 10 to 49	61.78
2. Total Construction (CNAE 41-43)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	From 50 to 249	52.79
2. Total Construction (CNAE 41-43)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	250 or more	66.41
2. Total Construction (CNAE 41-43)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	Total	31.02
2. Total Construction (CNAE 41-43)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	From 10 to 49	24.46
2. Total Construction (CNAE 41-43)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	From 50 to 249	58.94
2. Total Construction (CNAE 41-43)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	250 or more	24.81
2. Total Construction (CNAE 41-43)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	Total	21.57
2. Total Construction (CNAE 41-43)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	From 10 to 49	16.10
2. Total Construction (CNAE 41-43)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	From 50 to 249	43.26
2. Total Construction (CNAE 41-43)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	250 or more	34.37
2. Total Construction (CNAE 41-43)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	Total	75.82
2. Total Construction (CNAE 41-43)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	From 10 to 49	76.29
2. Total Construction (CNAE 41-43)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	From 50 to 249	73.22
2. Total Construction (CNAE 41-43)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	250 or more	83.20
2. Total Construction (CNAE 41-43)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	Total	41.14
2. Total Construction (CNAE 41-43)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	From 10 to 49	38.38
2. Total Construction (CNAE 41-43)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	From 50 to 249	51.83
2. Total Construction (CNAE 41-43)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	250 or more	50.39
2. Total Construction (CNAE 41-43)	I.3 % enterprises with specific training in Big Data (1)	Total	10.47
2. Total Construction (CNAE 41-43)	I.3 % enterprises with specific training in Big Data (1)	From 10 to 49	10.59
2. Total Construction (CNAE 41-43)	I.3 % enterprises with specific training in Big Data (1)	From 50 to 249	7.22
2. Total Construction (CNAE 41-43)	I.3 % enterprises with specific training in Big Data (1)	250 or more	41.60
2. Total Construction (CNAE 41-43)	I.4 % enterprises with Big Data training provided by external providers (1)	Total	10.47
2. Total Construction (CNAE 41-43)	I.4 % enterprises with Big Data training provided by external providers (1)	From 10 to 49	10.59
2. Total Construction (CNAE 41-43)	I.4 % enterprises with Big Data training provided by external providers (1)	From 50 to 249	7.22
2. Total Construction (CNAE 41-43)	I.4 % enterprises with Big Data training provided by external providers (1)	250 or more	41.60
2. Total Construction (CNAE 41-43)	I.5 % of enterprises that use open source software for Big Data analysis (1)	Total	60.75
2. Total Construction (CNAE 41-43)	I.5 % of enterprises that use open source software for Big Data analysis (1)	From 10 to 49	58.71
2. Total Construction (CNAE 41-43)	I.5 % of enterprises that use open source software for Big Data analysis (1)	From 50 to 249	69.39
2. Total Construction (CNAE 41-43)	I.5 % of enterprises that use open source software for Big Data analysis (1)	250 or more	59.17
3. Total Services (CNAE 45-82, excluding CNAE 56: food and drink services, CNAE 75 and financial services)	I.1 % of enterprises that analyzed Big Data	Total	10.35
3. Total Services (CNAE 45-82, excluding CNAE 56: food and drink services, CNAE 75 and financial services)	I.1 % of enterprises that analyzed Big Data	From 10 to 49	8.60
3. Total Services (CNAE 45-82, excluding CNAE 56: food and drink services, CNAE 75 and financial services)	I.1 % of enterprises that analyzed Big Data	From 50 to 249	15.80
3. Total Services (CNAE 45-82, excluding CNAE 56: food and drink services, CNAE 75 and financial services)	I.1 % of enterprises that analyzed Big Data	250 or more	31.67
3. Total Services (CNAE 45-82, excluding CNAE 56: food and drink services, CNAE 75 and financial services)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	Total	41.94
3. Total Services (CNAE 45-82, excluding CNAE 56: food and drink services, CNAE 75 and financial services)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	From 10 to 49	39.60
3. Total Services (CNAE 45-82, excluding CNAE 56: food and drink services, CNAE 75 and financial services)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	From 50 to 249	42.92
3. Total Services (CNAE 45-82, excluding CNAE 56: food and drink services, CNAE 75 and financial services)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	250 or more	56.95
3. Total Services (CNAE 45-82, excluding CNAE 56: food and drink services, CNAE 75 and financial services)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	Total	46.39
3. Total Services (CNAE 45-82, excluding CNAE 56: food and drink services, CNAE 75 and financial services)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	From 10 to 49	47.40
3. Total Services (CNAE 45-82, excluding CNAE 56: food and drink services, CNAE 75 and financial services)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	From 50 to 249	45.70
3. Total Services (CNAE 45-82, excluding CNAE 56: food and drink services, CNAE 75 and financial services)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	250 or more	40.56
3. Total Services (CNAE 45-82, excluding CNAE 56: food and drink services, CNAE 75 and financial services)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	Total	53.08
3. Total Services (CNAE 45-82, excluding CNAE 56: food and drink services, CNAE 75 and financial services)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	From 10 to 49	52.92
3. Total Services (CNAE 45-82, excluding CNAE 56: food and drink services, CNAE 75 and financial services)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	From 50 to 249	53.78
3. Total Services (CNAE 45-82, excluding CNAE 56: food and drink services, CNAE 75 and financial services)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	250 or more	52.59
3. Total Services (CNAE 45-82, excluding CNAE 56: food and drink services, CNAE 75 and financial services)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	Total	42.28
3. Total Services (CNAE 45-82, excluding CNAE 56: food and drink services, CNAE 75 and financial services)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	From 10 to 49	40.57
3. Total Services (CNAE 45-82, excluding CNAE 56: food and drink services, CNAE 75 and financial services)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	From 50 to 249	44.53
3. Total Services (CNAE 45-82, excluding CNAE 56: food and drink services, CNAE 75 and financial services)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	250 or more	49.53
3. Total Services (CNAE 45-82, excluding CNAE 56: food and drink services, CNAE 75 and financial services)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	Total	68.58
3. Total Services (CNAE 45-82, excluding CNAE 56: food and drink services, CNAE 75 and financial services)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	From 10 to 49	61.51
3. Total Services (CNAE 45-82, excluding CNAE 56: food and drink services, CNAE 75 and financial services)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	From 50 to 249	81.72
3. Total Services (CNAE 45-82, excluding CNAE 56: food and drink services, CNAE 75 and financial services)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	250 or more	89.49
3. Total Services (CNAE 45-82, excluding CNAE 56: food and drink services, CNAE 75 and financial services)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	Total	51.89
3. Total Services (CNAE 45-82, excluding CNAE 56: food and drink services, CNAE 75 and financial services)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	From 10 to 49	53.83
3. Total Services (CNAE 45-82, excluding CNAE 56: food and drink services, CNAE 75 and financial services)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	From 50 to 249	47.39
3. Total Services (CNAE 45-82, excluding CNAE 56: food and drink services, CNAE 75 and financial services)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	250 or more	48.31
3. Total Services (CNAE 45-82, excluding CNAE 56: food and drink services, CNAE 75 and financial services)	I.3 % enterprises with specific training in Big Data (1)	Total	22.35
3. Total Services (CNAE 45-82, excluding CNAE 56: food and drink services, CNAE 75 and financial services)	I.3 % enterprises with specific training in Big Data (1)	From 10 to 49	17.22
3. Total Services (CNAE 45-82, excluding CNAE 56: food and drink services, CNAE 75 and financial services)	I.3 % enterprises with specific training in Big Data (1)	From 50 to 249	29.40
3. Total Services (CNAE 45-82, excluding CNAE 56: food and drink services, CNAE 75 and financial services)	I.3 % enterprises with specific training in Big Data (1)	250 or more	43.40
3. Total Services (CNAE 45-82, excluding CNAE 56: food and drink services, CNAE 75 and financial services)	I.4 % enterprises with Big Data training provided by external providers (1)	Total	16.57
3. Total Services (CNAE 45-82, excluding CNAE 56: food and drink services, CNAE 75 and financial services)	I.4 % enterprises with Big Data training provided by external providers (1)	From 10 to 49	11.12
3. Total Services (CNAE 45-82, excluding CNAE 56: food and drink services, CNAE 75 and financial services)	I.4 % enterprises with Big Data training provided by external providers (1)	From 50 to 249	25.76
3. Total Services (CNAE 45-82, excluding CNAE 56: food and drink services, CNAE 75 and financial services)	I.4 % enterprises with Big Data training provided by external providers (1)	250 or more	34.97
3. Total Services (CNAE 45-82, excluding CNAE 56: food and drink services, CNAE 75 and financial services)	I.5 % of enterprises that use open source software for Big Data analysis (1)	Total	56.28
3. Total Services (CNAE 45-82, excluding CNAE 56: food and drink services, CNAE 75 and financial services)	I.5 % of enterprises that use open source software for Big Data analysis (1)	From 10 to 49	53.62
3. Total Services (CNAE 45-82, excluding CNAE 56: food and drink services, CNAE 75 and financial services)	I.5 % of enterprises that use open source software for Big Data analysis (1)	From 50 to 249	61.01
3. Total Services (CNAE 45-82, excluding CNAE 56: food and drink services, CNAE 75 and financial services)	I.5 % of enterprises that use open source software for Big Data analysis (1)	250 or more	64.62
3.1. Sale and repair of motor vehicles, wholesale and retail (CNAE 45-47)	I.1 % of enterprises that analyzed Big Data	Total	7.87
3.1. Sale and repair of motor vehicles, wholesale and retail (CNAE 45-47)	I.1 % of enterprises that analyzed Big Data	From 10 to 49	6.46
3.1. Sale and repair of motor vehicles, wholesale and retail (CNAE 45-47)	I.1 % of enterprises that analyzed Big Data	From 50 to 249	13.73
3.1. Sale and repair of motor vehicles, wholesale and retail (CNAE 45-47)	I.1 % of enterprises that analyzed Big Data	250 or more	33.13
3.1. Sale and repair of motor vehicles, wholesale and retail (CNAE 45-47)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	Total	40.33
3.1. Sale and repair of motor vehicles, wholesale and retail (CNAE 45-47)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	From 10 to 49	35.99
3.1. Sale and repair of motor vehicles, wholesale and retail (CNAE 45-47)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	From 50 to 249	47.85
3.1. Sale and repair of motor vehicles, wholesale and retail (CNAE 45-47)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	250 or more	58.01
3.1. Sale and repair of motor vehicles, wholesale and retail (CNAE 45-47)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	Total	39.78
3.1. Sale and repair of motor vehicles, wholesale and retail (CNAE 45-47)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	From 10 to 49	37.93
3.1. Sale and repair of motor vehicles, wholesale and retail (CNAE 45-47)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	From 50 to 249	47.61
3.1. Sale and repair of motor vehicles, wholesale and retail (CNAE 45-47)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	250 or more	35.37
3.1. Sale and repair of motor vehicles, wholesale and retail (CNAE 45-47)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	Total	52.63
3.1. Sale and repair of motor vehicles, wholesale and retail (CNAE 45-47)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	From 10 to 49	54.30
3.1. Sale and repair of motor vehicles, wholesale and retail (CNAE 45-47)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	From 50 to 249	46.32
3.1. Sale and repair of motor vehicles, wholesale and retail (CNAE 45-47)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	250 or more	54.62
3.1. Sale and repair of motor vehicles, wholesale and retail (CNAE 45-47)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	Total	38.14
3.1. Sale and repair of motor vehicles, wholesale and retail (CNAE 45-47)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	From 10 to 49	38.85
3.1. Sale and repair of motor vehicles, wholesale and retail (CNAE 45-47)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	From 50 to 249	33.46
3.1. Sale and repair of motor vehicles, wholesale and retail (CNAE 45-47)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	250 or more	44.19
3.1. Sale and repair of motor vehicles, wholesale and retail (CNAE 45-47)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	Total	68.94
3.1. Sale and repair of motor vehicles, wholesale and retail (CNAE 45-47)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	From 10 to 49	62.87
3.1. Sale and repair of motor vehicles, wholesale and retail (CNAE 45-47)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	From 50 to 249	80.95
3.1. Sale and repair of motor vehicles, wholesale and retail (CNAE 45-47)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	250 or more	89.79
3.1. Sale and repair of motor vehicles, wholesale and retail (CNAE 45-47)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	Total	50.78
3.1. Sale and repair of motor vehicles, wholesale and retail (CNAE 45-47)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	From 10 to 49	52.56
3.1. Sale and repair of motor vehicles, wholesale and retail (CNAE 45-47)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	From 50 to 249	47.40
3.1. Sale and repair of motor vehicles, wholesale and retail (CNAE 45-47)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	250 or more	44.34
3.1. Sale and repair of motor vehicles, wholesale and retail (CNAE 45-47)	I.3 % enterprises with specific training in Big Data (1)	Total	17.87
3.1. Sale and repair of motor vehicles, wholesale and retail (CNAE 45-47)	I.3 % enterprises with specific training in Big Data (1)	From 10 to 49	14.52
3.1. Sale and repair of motor vehicles, wholesale and retail (CNAE 45-47)	I.3 % enterprises with specific training in Big Data (1)	From 50 to 249	22.05
3.1. Sale and repair of motor vehicles, wholesale and retail (CNAE 45-47)	I.3 % enterprises with specific training in Big Data (1)	250 or more	35.68
3.1. Sale and repair of motor vehicles, wholesale and retail (CNAE 45-47)	I.4 % enterprises with Big Data training provided by external providers (1)	Total	13.68
3.1. Sale and repair of motor vehicles, wholesale and retail (CNAE 45-47)	I.4 % enterprises with Big Data training provided by external providers (1)	From 10 to 49	10.08
3.1. Sale and repair of motor vehicles, wholesale and retail (CNAE 45-47)	I.4 % enterprises with Big Data training provided by external providers (1)	From 50 to 249	19.90
3.1. Sale and repair of motor vehicles, wholesale and retail (CNAE 45-47)	I.4 % enterprises with Big Data training provided by external providers (1)	250 or more	28.36
3.1. Sale and repair of motor vehicles, wholesale and retail (CNAE 45-47)	I.5 % of enterprises that use open source software for Big Data analysis (1)	Total	52.22
3.1. Sale and repair of motor vehicles, wholesale and retail (CNAE 45-47)	I.5 % of enterprises that use open source software for Big Data analysis (1)	From 10 to 49	49.47
3.1. Sale and repair of motor vehicles, wholesale and retail (CNAE 45-47)	I.5 % of enterprises that use open source software for Big Data analysis (1)	From 50 to 249	61.22
3.1. Sale and repair of motor vehicles, wholesale and retail (CNAE 45-47)	I.5 % of enterprises that use open source software for Big Data analysis (1)	250 or more	52.44
3.2. Transport and storage (CNAE 49-53)	I.1 % of enterprises that analyzed Big Data	Total	12.44
3.2. Transport and storage (CNAE 49-53)	I.1 % of enterprises that analyzed Big Data	From 10 to 49	11.31
3.2. Transport and storage (CNAE 49-53)	I.1 % of enterprises that analyzed Big Data	From 50 to 249	15.38
3.2. Transport and storage (CNAE 49-53)	I.1 % of enterprises that analyzed Big Data	250 or more	33.91
3.2. Transport and storage (CNAE 49-53)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	Total	32.07
3.2. Transport and storage (CNAE 49-53)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	From 10 to 49	24.28
3.2. Transport and storage (CNAE 49-53)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	From 50 to 249	54.44
3.2. Transport and storage (CNAE 49-53)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	250 or more	63.75
3.2. Transport and storage (CNAE 49-53)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	Total	77.63
3.2. Transport and storage (CNAE 49-53)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	From 10 to 49	80.39
3.2. Transport and storage (CNAE 49-53)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	From 50 to 249	73.84
3.2. Transport and storage (CNAE 49-53)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	250 or more	56.32
3.2. Transport and storage (CNAE 49-53)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	Total	29.71
3.2. Transport and storage (CNAE 49-53)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	From 10 to 49	31.84
3.2. Transport and storage (CNAE 49-53)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	From 50 to 249	20.02
3.2. Transport and storage (CNAE 49-53)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	250 or more	29.61
3.2. Transport and storage (CNAE 49-53)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	Total	21.78
3.2. Transport and storage (CNAE 49-53)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	From 10 to 49	20.70
3.2. Transport and storage (CNAE 49-53)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	From 50 to 249	23.24
3.2. Transport and storage (CNAE 49-53)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	250 or more	30.16
3.2. Transport and storage (CNAE 49-53)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	Total	53.20
3.2. Transport and storage (CNAE 49-53)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	From 10 to 49	45.01
3.2. Transport and storage (CNAE 49-53)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	From 50 to 249	78.79
3.2. Transport and storage (CNAE 49-53)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	250 or more	81.55
3.2. Transport and storage (CNAE 49-53)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	Total	58.09
3.2. Transport and storage (CNAE 49-53)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	From 10 to 49	62.29
3.2. Transport and storage (CNAE 49-53)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	From 50 to 249	40.40
3.2. Transport and storage (CNAE 49-53)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	250 or more	54.52
3.2. Transport and storage (CNAE 49-53)	I.3 % enterprises with specific training in Big Data (1)	Total	6.98
3.2. Transport and storage (CNAE 49-53)	I.3 % enterprises with specific training in Big Data (1)	From 10 to 49	3.15
3.2. Transport and storage (CNAE 49-53)	I.3 % enterprises with specific training in Big Data (1)	From 50 to 249	18.08
3.2. Transport and storage (CNAE 49-53)	I.3 % enterprises with specific training in Big Data (1)	250 or more	22.27
3.2. Transport and storage (CNAE 49-53)	I.4 % enterprises with Big Data training provided by external providers (1)	Total	5.74
3.2. Transport and storage (CNAE 49-53)	I.4 % enterprises with Big Data training provided by external providers (1)	From 10 to 49	3.15
3.2. Transport and storage (CNAE 49-53)	I.4 % enterprises with Big Data training provided by external providers (1)	From 50 to 249	11.71
3.2. Transport and storage (CNAE 49-53)	I.4 % enterprises with Big Data training provided by external providers (1)	250 or more	19.87
3.2. Transport and storage (CNAE 49-53)	I.5 % of enterprises that use open source software for Big Data analysis (1)	Total	53.12
3.2. Transport and storage (CNAE 49-53)	I.5 % of enterprises that use open source software for Big Data analysis (1)	From 10 to 49	49.23
3.2. Transport and storage (CNAE 49-53)	I.5 % of enterprises that use open source software for Big Data analysis (1)	From 50 to 249	69.19
3.2. Transport and storage (CNAE 49-53)	I.5 % of enterprises that use open source software for Big Data analysis (1)	250 or more	57.12
3.3. Accommodation services (CNAE 55)	I.1 % of enterprises that analyzed Big Data	Total	12.14
3.3. Accommodation services (CNAE 55)	I.1 % of enterprises that analyzed Big Data	From 10 to 49	10.00
3.3. Accommodation services (CNAE 55)	I.1 % of enterprises that analyzed Big Data	From 50 to 249	19.08
3.3. Accommodation services (CNAE 55)	I.1 % of enterprises that analyzed Big Data	250 or more	17.93
3.3. Accommodation services (CNAE 55)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	Total	32.36
3.3. Accommodation services (CNAE 55)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	From 10 to 49	23.18
3.3. Accommodation services (CNAE 55)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	From 50 to 249	48.89
3.3. Accommodation services (CNAE 55)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	250 or more	39.36
3.3. Accommodation services (CNAE 55)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	Total	37.73
3.3. Accommodation services (CNAE 55)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	From 10 to 49	39.58
3.3. Accommodation services (CNAE 55)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	From 50 to 249	37.00
3.3. Accommodation services (CNAE 55)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	250 or more	17.25
3.3. Accommodation services (CNAE 55)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	Total	79.07
3.3. Accommodation services (CNAE 55)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	From 10 to 49	78.43
3.3. Accommodation services (CNAE 55)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	From 50 to 249	78.64
3.3. Accommodation services (CNAE 55)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	250 or more	91.20
3.3. Accommodation services (CNAE 55)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	Total	38.66
3.3. Accommodation services (CNAE 55)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	From 10 to 49	30.93
3.3. Accommodation services (CNAE 55)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	From 50 to 249	50.84
3.3. Accommodation services (CNAE 55)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	250 or more	57.54
3.3. Accommodation services (CNAE 55)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	Total	47.98
3.3. Accommodation services (CNAE 55)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	From 10 to 49	47.75
3.3. Accommodation services (CNAE 55)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	From 50 to 249	47.84
3.3. Accommodation services (CNAE 55)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	250 or more	52.39
3.3. Accommodation services (CNAE 55)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	Total	78.79
3.3. Accommodation services (CNAE 55)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	From 10 to 49	75.77
3.3. Accommodation services (CNAE 55)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	From 50 to 249	84.61
3.3. Accommodation services (CNAE 55)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	250 or more	78.17
3.3. Accommodation services (CNAE 55)	I.3 % enterprises with specific training in Big Data (1)	Total	16.14
3.3. Accommodation services (CNAE 55)	I.3 % enterprises with specific training in Big Data (1)	From 10 to 49	13.96
3.3. Accommodation services (CNAE 55)	I.3 % enterprises with specific training in Big Data (1)	From 50 to 249	18.91
3.3. Accommodation services (CNAE 55)	I.3 % enterprises with specific training in Big Data (1)	250 or more	26.35
3.3. Accommodation services (CNAE 55)	I.4 % enterprises with Big Data training provided by external providers (1)	Total	13.39
3.3. Accommodation services (CNAE 55)	I.4 % enterprises with Big Data training provided by external providers (1)	From 10 to 49	10.90
3.3. Accommodation services (CNAE 55)	I.4 % enterprises with Big Data training provided by external providers (1)	From 50 to 249	16.99
3.3. Accommodation services (CNAE 55)	I.4 % enterprises with Big Data training provided by external providers (1)	250 or more	21.83
3.3. Accommodation services (CNAE 55)	I.5 % of enterprises that use open source software for Big Data analysis (1)	Total	51.98
3.3. Accommodation services (CNAE 55)	I.5 % of enterprises that use open source software for Big Data analysis (1)	From 10 to 49	59.90
3.3. Accommodation services (CNAE 55)	I.5 % of enterprises that use open source software for Big Data analysis (1)	From 50 to 249	35.17
3.3. Accommodation services (CNAE 55)	I.5 % of enterprises that use open source software for Big Data analysis (1)	250 or more	64.79
3.4. Information and communications (CNAE 58-63)	I.1 % of enterprises that analyzed Big Data	Total	22.68
3.4. Information and communications (CNAE 58-63)	I.1 % of enterprises that analyzed Big Data	From 10 to 49	20.04
3.4. Information and communications (CNAE 58-63)	I.1 % of enterprises that analyzed Big Data	From 50 to 249	27.04
3.4. Information and communications (CNAE 58-63)	I.1 % of enterprises that analyzed Big Data	250 or more	47.08
3.4. Information and communications (CNAE 58-63)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	Total	51.45
3.4. Information and communications (CNAE 58-63)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	From 10 to 49	57.61
3.4. Information and communications (CNAE 58-63)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	From 50 to 249	29.49
3.4. Information and communications (CNAE 58-63)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	250 or more	60.92
3.4. Information and communications (CNAE 58-63)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	Total	46.95
3.4. Information and communications (CNAE 58-63)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	From 10 to 49	48.48
3.4. Information and communications (CNAE 58-63)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	From 50 to 249	39.37
3.4. Information and communications (CNAE 58-63)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	250 or more	54.34
3.4. Information and communications (CNAE 58-63)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	Total	61.97
3.4. Information and communications (CNAE 58-63)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	From 10 to 49	58.30
3.4. Information and communications (CNAE 58-63)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	From 50 to 249	67.53
3.4. Information and communications (CNAE 58-63)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	250 or more	73.93
3.4. Information and communications (CNAE 58-63)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	Total	54.65
3.4. Information and communications (CNAE 58-63)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	From 10 to 49	50.05
3.4. Information and communications (CNAE 58-63)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	From 50 to 249	60.80
3.4. Information and communications (CNAE 58-63)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	250 or more	71.49
3.4. Information and communications (CNAE 58-63)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	Total	92.68
3.4. Information and communications (CNAE 58-63)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	From 10 to 49	89.77
3.4. Information and communications (CNAE 58-63)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	From 50 to 249	98.93
3.4. Information and communications (CNAE 58-63)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	250 or more	97.82
3.4. Information and communications (CNAE 58-63)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	Total	29.60
3.4. Information and communications (CNAE 58-63)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	From 10 to 49	31.51
3.4. Information and communications (CNAE 58-63)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	From 50 to 249	18.07
3.4. Information and communications (CNAE 58-63)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	250 or more	43.57
3.4. Information and communications (CNAE 58-63)	I.3 % enterprises with specific training in Big Data (1)	Total	36.16
3.4. Information and communications (CNAE 58-63)	I.3 % enterprises with specific training in Big Data (1)	From 10 to 49	27.89
3.4. Information and communications (CNAE 58-63)	I.3 % enterprises with specific training in Big Data (1)	From 50 to 249	45.35
3.4. Information and communications (CNAE 58-63)	I.3 % enterprises with specific training in Big Data (1)	250 or more	70.86
3.4. Information and communications (CNAE 58-63)	I.4 % enterprises with Big Data training provided by external providers (1)	Total	27.56
3.4. Information and communications (CNAE 58-63)	I.4 % enterprises with Big Data training provided by external providers (1)	From 10 to 49	21.55
3.4. Information and communications (CNAE 58-63)	I.4 % enterprises with Big Data training provided by external providers (1)	From 50 to 249	34.98
3.4. Information and communications (CNAE 58-63)	I.4 % enterprises with Big Data training provided by external providers (1)	250 or more	51.07
3.4. Information and communications (CNAE 58-63)	I.5 % of enterprises that use open source software for Big Data analysis (1)	Total	68.53
3.4. Information and communications (CNAE 58-63)	I.5 % of enterprises that use open source software for Big Data analysis (1)	From 10 to 49	64.02
3.4. Information and communications (CNAE 58-63)	I.5 % of enterprises that use open source software for Big Data analysis (1)	From 50 to 249	75.45
3.4. Information and communications (CNAE 58-63)	I.5 % of enterprises that use open source software for Big Data analysis (1)	250 or more	83.07
3.5. Real estate activities (CNAE 68)	I.1 % of enterprises that analyzed Big Data	Total	11.78
3.5. Real estate activities (CNAE 68)	I.1 % of enterprises that analyzed Big Data	From 10 to 49	9.23
3.5. Real estate activities (CNAE 68)	I.1 % of enterprises that analyzed Big Data	From 50 to 249	32.83
3.5. Real estate activities (CNAE 68)	I.1 % of enterprises that analyzed Big Data	250 or more	50.00
3.5. Real estate activities (CNAE 68)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	Total	44.19
3.5. Real estate activities (CNAE 68)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	From 10 to 49	42.90
3.5. Real estate activities (CNAE 68)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	From 50 to 249	47.81
3.5. Real estate activities (CNAE 68)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	250 or more	44.44
3.5. Real estate activities (CNAE 68)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	Total	41.83
3.5. Real estate activities (CNAE 68)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	From 10 to 49	32.79
3.5. Real estate activities (CNAE 68)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	From 50 to 249	68.55
3.5. Real estate activities (CNAE 68)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	250 or more	36.11
3.5. Real estate activities (CNAE 68)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	Total	66.20
3.5. Real estate activities (CNAE 68)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	From 10 to 49	72.85
3.5. Real estate activities (CNAE 68)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	From 50 to 249	50.33
3.5. Real estate activities (CNAE 68)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	250 or more	50.00
3.5. Real estate activities (CNAE 68)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	Total	50.87
3.5. Real estate activities (CNAE 68)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	From 10 to 49	54.30
3.5. Real estate activities (CNAE 68)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	From 50 to 249	34.59
3.5. Real estate activities (CNAE 68)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	250 or more	86.11
3.5. Real estate activities (CNAE 68)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	Total	90.35
3.5. Real estate activities (CNAE 68)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	From 10 to 49	92.70
3.5. Real estate activities (CNAE 68)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	From 50 to 249	81.89
3.5. Real estate activities (CNAE 68)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	250 or more	100.00
3.5. Real estate activities (CNAE 68)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	Total	48.41
3.5. Real estate activities (CNAE 68)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	From 10 to 49	47.07
3.5. Real estate activities (CNAE 68)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	From 50 to 249	50.40
3.5. Real estate activities (CNAE 68)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	250 or more	58.33
3.5. Real estate activities (CNAE 68)	I.3 % enterprises with specific training in Big Data (1)	Total	33.34
3.5. Real estate activities (CNAE 68)	I.3 % enterprises with specific training in Big Data (1)	From 10 to 49	27.15
3.5. Real estate activities (CNAE 68)	I.3 % enterprises with specific training in Big Data (1)	From 50 to 249	50.40
3.5. Real estate activities (CNAE 68)	I.3 % enterprises with specific training in Big Data (1)	250 or more	36.11
3.5. Real estate activities (CNAE 68)	I.4 % enterprises with Big Data training provided by external providers (1)	Total	32.57
3.5. Real estate activities (CNAE 68)	I.4 % enterprises with Big Data training provided by external providers (1)	From 10 to 49	27.15
3.5. Real estate activities (CNAE 68)	I.4 % enterprises with Big Data training provided by external providers (1)	From 50 to 249	47.31
3.5. Real estate activities (CNAE 68)	I.4 % enterprises with Big Data training provided by external providers (1)	250 or more	36.11
3.5. Real estate activities (CNAE 68)	I.5 % of enterprises that use open source software for Big Data analysis (1)	Total	65.71
3.5. Real estate activities (CNAE 68)	I.5 % of enterprises that use open source software for Big Data analysis (1)	From 10 to 49	59.90
3.5. Real estate activities (CNAE 68)	I.5 % of enterprises that use open source software for Big Data analysis (1)	From 50 to 249	78.42
3.5. Real estate activities (CNAE 68)	I.5 % of enterprises that use open source software for Big Data analysis (1)	250 or more	86.11
3.6. Professional, scientific and technical activities (excl. veterinary) (CNAE 69-74)	I.1 % of enterprises that analyzed Big Data	Total	12.56
3.6. Professional, scientific and technical activities (excl. veterinary) (CNAE 69-74)	I.1 % of enterprises that analyzed Big Data	From 10 to 49	10.39
3.6. Professional, scientific and technical activities (excl. veterinary) (CNAE 69-74)	I.1 % of enterprises that analyzed Big Data	From 50 to 249	19.75
3.6. Professional, scientific and technical activities (excl. veterinary) (CNAE 69-74)	I.1 % of enterprises that analyzed Big Data	250 or more	39.05
3.6. Professional, scientific and technical activities (excl. veterinary) (CNAE 69-74)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	Total	53.50
3.6. Professional, scientific and technical activities (excl. veterinary) (CNAE 69-74)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	From 10 to 49	58.89
3.6. Professional, scientific and technical activities (excl. veterinary) (CNAE 69-74)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	From 50 to 249	37.71
3.6. Professional, scientific and technical activities (excl. veterinary) (CNAE 69-74)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	250 or more	49.86
3.6. Professional, scientific and technical activities (excl. veterinary) (CNAE 69-74)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	Total	33.12
3.6. Professional, scientific and technical activities (excl. veterinary) (CNAE 69-74)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	From 10 to 49	33.00
3.6. Professional, scientific and technical activities (excl. veterinary) (CNAE 69-74)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	From 50 to 249	38.56
3.6. Professional, scientific and technical activities (excl. veterinary) (CNAE 69-74)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	250 or more	22.13
3.6. Professional, scientific and technical activities (excl. veterinary) (CNAE 69-74)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	Total	52.82
3.6. Professional, scientific and technical activities (excl. veterinary) (CNAE 69-74)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	From 10 to 49	51.62
3.6. Professional, scientific and technical activities (excl. veterinary) (CNAE 69-74)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	From 50 to 249	58.81
3.6. Professional, scientific and technical activities (excl. veterinary) (CNAE 69-74)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	250 or more	48.28
3.6. Professional, scientific and technical activities (excl. veterinary) (CNAE 69-74)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	Total	62.41
3.6. Professional, scientific and technical activities (excl. veterinary) (CNAE 69-74)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	From 10 to 49	60.51
3.6. Professional, scientific and technical activities (excl. veterinary) (CNAE 69-74)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	From 50 to 249	70.91
3.6. Professional, scientific and technical activities (excl. veterinary) (CNAE 69-74)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	250 or more	57.26
3.6. Professional, scientific and technical activities (excl. veterinary) (CNAE 69-74)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	Total	73.93
3.6. Professional, scientific and technical activities (excl. veterinary) (CNAE 69-74)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	From 10 to 49	66.68
3.6. Professional, scientific and technical activities (excl. veterinary) (CNAE 69-74)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	From 50 to 249	87.99
3.6. Professional, scientific and technical activities (excl. veterinary) (CNAE 69-74)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	250 or more	94.31
3.6. Professional, scientific and technical activities (excl. veterinary) (CNAE 69-74)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	Total	50.00
3.6. Professional, scientific and technical activities (excl. veterinary) (CNAE 69-74)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	From 10 to 49	49.97
3.6. Professional, scientific and technical activities (excl. veterinary) (CNAE 69-74)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	From 50 to 249	54.79
3.6. Professional, scientific and technical activities (excl. veterinary) (CNAE 69-74)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	250 or more	39.85
3.6. Professional, scientific and technical activities (excl. veterinary) (CNAE 69-74)	I.3 % enterprises with specific training in Big Data (1)	Total	36.69
3.6. Professional, scientific and technical activities (excl. veterinary) (CNAE 69-74)	I.3 % enterprises with specific training in Big Data (1)	From 10 to 49	29.46
3.6. Professional, scientific and technical activities (excl. veterinary) (CNAE 69-74)	I.3 % enterprises with specific training in Big Data (1)	From 50 to 249	51.08
3.6. Professional, scientific and technical activities (excl. veterinary) (CNAE 69-74)	I.3 % enterprises with specific training in Big Data (1)	250 or more	56.29
3.6. Professional, scientific and technical activities (excl. veterinary) (CNAE 69-74)	I.4 % enterprises with Big Data training provided by external providers (1)	Total	25.05
3.6. Professional, scientific and technical activities (excl. veterinary) (CNAE 69-74)	I.4 % enterprises with Big Data training provided by external providers (1)	From 10 to 49	14.01
3.6. Professional, scientific and technical activities (excl. veterinary) (CNAE 69-74)	I.4 % enterprises with Big Data training provided by external providers (1)	From 50 to 249	50.31
3.6. Professional, scientific and technical activities (excl. veterinary) (CNAE 69-74)	I.4 % enterprises with Big Data training provided by external providers (1)	250 or more	47.81
3.6. Professional, scientific and technical activities (excl. veterinary) (CNAE 69-74)	I.5 % of enterprises that use open source software for Big Data analysis (1)	Total	59.85
3.6. Professional, scientific and technical activities (excl. veterinary) (CNAE 69-74)	I.5 % of enterprises that use open source software for Big Data analysis (1)	From 10 to 49	56.73
3.6. Professional, scientific and technical activities (excl. veterinary) (CNAE 69-74)	I.5 % of enterprises that use open source software for Big Data analysis (1)	From 50 to 249	62.35
3.6. Professional, scientific and technical activities (excl. veterinary) (CNAE 69-74)	I.5 % of enterprises that use open source software for Big Data analysis (1)	250 or more	76.31
3.7. Administrative and support service activities (incl. travel agencies) (CNAE 77-82)	I.1 % of enterprises that analyzed Big Data	Total	7.10
3.7. Administrative and support service activities (incl. travel agencies) (CNAE 77-82)	I.1 % of enterprises that analyzed Big Data	From 10 to 49	5.24
3.7. Administrative and support service activities (incl. travel agencies) (CNAE 77-82)	I.1 % of enterprises that analyzed Big Data	From 50 to 249	9.68
3.7. Administrative and support service activities (incl. travel agencies) (CNAE 77-82)	I.1 % of enterprises that analyzed Big Data	250 or more	22.37
3.7. Administrative and support service activities (incl. travel agencies) (CNAE 77-82)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	Total	35.48
3.7. Administrative and support service activities (incl. travel agencies) (CNAE 77-82)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	From 10 to 49	27.39
3.7. Administrative and support service activities (incl. travel agencies) (CNAE 77-82)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	From 50 to 249	36.41
3.7. Administrative and support service activities (incl. travel agencies) (CNAE 77-82)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	250 or more	58.31
3.7. Administrative and support service activities (incl. travel agencies) (CNAE 77-82)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	Total	47.53
3.7. Administrative and support service activities (incl. travel agencies) (CNAE 77-82)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	From 10 to 49	53.74
3.7. Administrative and support service activities (incl. travel agencies) (CNAE 77-82)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	From 50 to 249	33.40
3.7. Administrative and support service activities (incl. travel agencies) (CNAE 77-82)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	250 or more	48.86
3.7. Administrative and support service activities (incl. travel agencies) (CNAE 77-82)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	Total	58.07
3.7. Administrative and support service activities (incl. travel agencies) (CNAE 77-82)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	From 10 to 49	60.88
3.7. Administrative and support service activities (incl. travel agencies) (CNAE 77-82)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	From 50 to 249	61.99
3.7. Administrative and support service activities (incl. travel agencies) (CNAE 77-82)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	250 or more	44.19
3.7. Administrative and support service activities (incl. travel agencies) (CNAE 77-82)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	Total	36.62
3.7. Administrative and support service activities (incl. travel agencies) (CNAE 77-82)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	From 10 to 49	35.98
3.7. Administrative and support service activities (incl. travel agencies) (CNAE 77-82)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	From 50 to 249	34.45
3.7. Administrative and support service activities (incl. travel agencies) (CNAE 77-82)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	250 or more	41.58
3.7. Administrative and support service activities (incl. travel agencies) (CNAE 77-82)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	Total	57.37
3.7. Administrative and support service activities (incl. travel agencies) (CNAE 77-82)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	From 10 to 49	33.59
3.7. Administrative and support service activities (incl. travel agencies) (CNAE 77-82)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	From 50 to 249	85.64
3.7. Administrative and support service activities (incl. travel agencies) (CNAE 77-82)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	250 or more	88.60
3.7. Administrative and support service activities (incl. travel agencies) (CNAE 77-82)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	Total	63.38
3.7. Administrative and support service activities (incl. travel agencies) (CNAE 77-82)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	From 10 to 49	72.73
3.7. Administrative and support service activities (incl. travel agencies) (CNAE 77-82)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	From 50 to 249	48.64
3.7. Administrative and support service activities (incl. travel agencies) (CNAE 77-82)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	250 or more	56.21
3.7. Administrative and support service activities (incl. travel agencies) (CNAE 77-82)	I.3 % enterprises with specific training in Big Data (1)	Total	18.75
3.7. Administrative and support service activities (incl. travel agencies) (CNAE 77-82)	I.3 % enterprises with specific training in Big Data (1)	From 10 to 49	14.27
3.7. Administrative and support service activities (incl. travel agencies) (CNAE 77-82)	I.3 % enterprises with specific training in Big Data (1)	From 50 to 249	14.92
3.7. Administrative and support service activities (incl. travel agencies) (CNAE 77-82)	I.3 % enterprises with specific training in Big Data (1)	250 or more	37.48
3.7. Administrative and support service activities (incl. travel agencies) (CNAE 77-82)	I.4 % enterprises with Big Data training provided by external providers (1)	Total	11.61
3.7. Administrative and support service activities (incl. travel agencies) (CNAE 77-82)	I.4 % enterprises with Big Data training provided by external providers (1)	From 10 to 49	4.17
3.7. Administrative and support service activities (incl. travel agencies) (CNAE 77-82)	I.4 % enterprises with Big Data training provided by external providers (1)	From 50 to 249	13.16
3.7. Administrative and support service activities (incl. travel agencies) (CNAE 77-82)	I.4 % enterprises with Big Data training provided by external providers (1)	250 or more	31.63
3.7. Administrative and support service activities (incl. travel agencies) (CNAE 77-82)	I.5 % of enterprises that use open source software for Big Data analysis (1)	Total	51.64
3.7. Administrative and support service activities (incl. travel agencies) (CNAE 77-82)	I.5 % of enterprises that use open source software for Big Data analysis (1)	From 10 to 49	48.84
3.7. Administrative and support service activities (incl. travel agencies) (CNAE 77-82)	I.5 % of enterprises that use open source software for Big Data analysis (1)	From 50 to 249	51.03
3.7. Administrative and support service activities (incl. travel agencies) (CNAE 77-82)	I.5 % of enterprises that use open source software for Big Data analysis (1)	250 or more	60.85
4. Sector ICT (261-264, 268, 465, 582, 61, 6201, 6202, 6203, 6209, 631, 951)	I.1 % of enterprises that analyzed Big Data	Total	27.13
4. Sector ICT (261-264, 268, 465, 582, 61, 6201, 6202, 6203, 6209, 631, 951)	I.1 % of enterprises that analyzed Big Data	From 10 to 49	25.88
4. Sector ICT (261-264, 268, 465, 582, 61, 6201, 6202, 6203, 6209, 631, 951)	I.1 % of enterprises that analyzed Big Data	From 50 to 249	26.95
4. Sector ICT (261-264, 268, 465, 582, 61, 6201, 6202, 6203, 6209, 631, 951)	I.1 % of enterprises that analyzed Big Data	250 or more	46.08
4. Sector ICT (261-264, 268, 465, 582, 61, 6201, 6202, 6203, 6209, 631, 951)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	Total	44.62
4. Sector ICT (261-264, 268, 465, 582, 61, 6201, 6202, 6203, 6209, 631, 951)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	From 10 to 49	44.30
4. Sector ICT (261-264, 268, 465, 582, 61, 6201, 6202, 6203, 6209, 631, 951)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	From 50 to 249	37.12
4. Sector ICT (261-264, 268, 465, 582, 61, 6201, 6202, 6203, 6209, 631, 951)	I.1.A % of enterprises that analyzed Big Data by source type: company-owned data using sensors or smart devices (1)	250 or more	64.60
4. Sector ICT (261-264, 268, 465, 582, 61, 6201, 6202, 6203, 6209, 631, 951)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	Total	45.44
4. Sector ICT (261-264, 268, 465, 582, 61, 6201, 6202, 6203, 6209, 631, 951)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	From 10 to 49	43.75
4. Sector ICT (261-264, 268, 465, 582, 61, 6201, 6202, 6203, 6209, 631, 951)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	From 50 to 249	46.59
4. Sector ICT (261-264, 268, 465, 582, 61, 6201, 6202, 6203, 6209, 631, 951)	I.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)	250 or more	56.70
4. Sector ICT (261-264, 268, 465, 582, 61, 6201, 6202, 6203, 6209, 631, 951)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	Total	56.08
4. Sector ICT (261-264, 268, 465, 582, 61, 6201, 6202, 6203, 6209, 631, 951)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	From 10 to 49	50.56
4. Sector ICT (261-264, 268, 465, 582, 61, 6201, 6202, 6203, 6209, 631, 951)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	From 50 to 249	68.24
4. Sector ICT (261-264, 268, 465, 582, 61, 6201, 6202, 6203, 6209, 631, 951)	I.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)	250 or more	73.22
4. Sector ICT (261-264, 268, 465, 582, 61, 6201, 6202, 6203, 6209, 631, 951)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	Total	51.61
4. Sector ICT (261-264, 268, 465, 582, 61, 6201, 6202, 6203, 6209, 631, 951)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	From 10 to 49	48.82
4. Sector ICT (261-264, 268, 465, 582, 61, 6201, 6202, 6203, 6209, 631, 951)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	From 50 to 249	55.19
4. Sector ICT (261-264, 268, 465, 582, 61, 6201, 6202, 6203, 6209, 631, 951)	I.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)	250 or more	66.19
4. Sector ICT (261-264, 268, 465, 582, 61, 6201, 6202, 6203, 6209, 631, 951)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	Total	92.80
4. Sector ICT (261-264, 268, 465, 582, 61, 6201, 6202, 6203, 6209, 631, 951)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	From 10 to 49	91.20
4. Sector ICT (261-264, 268, 465, 582, 61, 6201, 6202, 6203, 6209, 631, 951)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	From 50 to 249	96.36
4. Sector ICT (261-264, 268, 465, 582, 61, 6201, 6202, 6203, 6209, 631, 951)	I.2.A % of enterprises that performed Big Data analysis with their own employees (1)	250 or more	97.72
4. Sector ICT (261-264, 268, 465, 582, 61, 6201, 6202, 6203, 6209, 631, 951)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	Total	21.77
4. Sector ICT (261-264, 268, 465, 582, 61, 6201, 6202, 6203, 6209, 631, 951)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	From 10 to 49	22.18
4. Sector ICT (261-264, 268, 465, 582, 61, 6201, 6202, 6203, 6209, 631, 951)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	From 50 to 249	14.18
4. Sector ICT (261-264, 268, 465, 582, 61, 6201, 6202, 6203, 6209, 631, 951)	I.2.A % of enterprises that performed Big Data analysis with their external providers (1)	250 or more	36.08
4. Sector ICT (261-264, 268, 465, 582, 61, 6201, 6202, 6203, 6209, 631, 951)	I.3 % enterprises with specific training in Big Data (1)	Total	41.54
4. Sector ICT (261-264, 268, 465, 582, 61, 6201, 6202, 6203, 6209, 631, 951)	I.3 % enterprises with specific training in Big Data (1)	From 10 to 49	33.61
4. Sector ICT (261-264, 268, 465, 582, 61, 6201, 6202, 6203, 6209, 631, 951)	I.3 % enterprises with specific training in Big Data (1)	From 50 to 249	53.89
4. Sector ICT (261-264, 268, 465, 582, 61, 6201, 6202, 6203, 6209, 631, 951)	I.3 % enterprises with specific training in Big Data (1)	250 or more	78.06
4. Sector ICT (261-264, 268, 465, 582, 61, 6201, 6202, 6203, 6209, 631, 951)	I.4 % enterprises with Big Data training provided by external providers (1)	Total	30.24
4. Sector ICT (261-264, 268, 465, 582, 61, 6201, 6202, 6203, 6209, 631, 951)	I.4 % enterprises with Big Data training provided by external providers (1)	From 10 to 49	24.56
4. Sector ICT (261-264, 268, 465, 582, 61, 6201, 6202, 6203, 6209, 631, 951)	I.4 % enterprises with Big Data training provided by external providers (1)	From 50 to 249	40.89
4. Sector ICT (261-264, 268, 465, 582, 61, 6201, 6202, 6203, 6209, 631, 951)	I.4 % enterprises with Big Data training provided by external providers (1)	250 or more	52.26
4. Sector ICT (261-264, 268, 465, 582, 61, 6201, 6202, 6203, 6209, 631, 951)	I.5 % of enterprises that use open source software for Big Data analysis (1)	Total	64.22
4. Sector ICT (261-264, 268, 465, 582, 61, 6201, 6202, 6203, 6209, 631, 951)	I.5 % of enterprises that use open source software for Big Data analysis (1)	From 10 to 49	61.02
4. Sector ICT (261-264, 268, 465, 582, 61, 6201, 6202, 6203, 6209, 631, 951)	I.5 % of enterprises that use open source software for Big Data analysis (1)	From 50 to 249	69.62
4. Sector ICT (261-264, 268, 465, 582, 61, 6201, 6202, 6203, 6209, 631, 951)	I.5 % of enterprises that use open source software for Big Data analysis (1)	250 or more	77.98