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