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New Communication and Information Technologies
Survey on ICT and Electronic Commerce use in Companies
Survey on the use of ICT and E-commerce in companies 2019-2020
National results
National results
Companies with 10 or more employees: ICT in companies (first quarter of 2020) by branch of economic activity (except CNAE 56, 64-66 and 95.1) and size of the company
Big Data Analysis
Units:
percentage
Select values to consult
Activity grouping (except CNAE 56, 64-66 and 95.1)
Values that contain
Total Enterprises
1. Total Industry (CNAE 10-39)
1.1. Food, beverages, tobacco, textile, clothing, leather and footwear, wood and cork, paper, graphic arts and reproduction of recorded media (CNAE 10-18)
1.2 Coke and petroleum refining pharmaceutical products rubber and plastics non-metallic mineral products (CNAE 19-23)
1.3 Metallurgy, manufacture of metallic products (CNAE 24-25)
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)
1.5. Energy and water (CNAE 35-39)
2. Total Construction (CNAE 41-43)
3. Total Services (CNAE 45-82, excluding CNAE 56: food and drink services, CNAE 75 and financial services)
3.1. Sale and repair of motor vehicles, wholesale and retail (CNAE 45-47)
3.2. Transport and storage (CNAE 49-53)
3.3. Accommodation services (CNAE 55)
3.4. Information and communications (CNAE 58-63)
3.5. Real estate activities (CNAE 68)
3.6. Professional, scientific and technical activities (excl. veterinary) (CNAE 69-74)
3.7. Administrative and support service activities (incl. travel agencies) (CNAE 77-82)
4. Sector ICT (261-264, 268, 465, 582, 61, 6201, 6202, 6203, 6209, 631, 951)
Selected:
17
Total:
17
Main variables
Values that contain
F.1-3 % of enterprises that analyzed large data sources (Big Data) for their enterprise with their employees or through an external enterprise
F.1 % enterprises that performed Big Data analysis neither by its own employees
F.1.A % of enterprises that analyzed Big Data by source type: data using sensors or smart devices (1)
F.1.B % of enterprises that analyzed Big Data by source type: geolocation data from wearable devices (1)
F.1.C % of enterprises that analyzed Big Data by source type: data generated by social media (1)
F.1.D % of enterprises that analyzed Big Data by source type: other Big Data sources (1)
F.2.A % of enterprises that analyzed Big Data by Machine Learning (1)
F.2.B % of enterprises that analyzed Big Data by Natural language processing (NLP), natural language generation (NGL) or speech recognition (1)
F.2.C % of enterprises that analyzed Big Data by other Big Data analysis methods (1)
F.3 % of enterprises where a company or organisation other than their own analysed Big Data for their company
F.4 % of enterprises that did not perform Big Data analysis but considered doing so (2)
F.5.A % of enterprises that did not perform Big Data analysis by the cost seems too high compared to the benefits (3 )
F.5.B % of enterprises that did not perform Big Data analysis by human resources, skills or staff profiles are insufficient (3)
F.5.C % of enterprises that did not perform Big Data analysis by insufficient sources of Big Data that would be needed to perform the analysis (3)
F.5.D % of enterprises that did not perform Big Data analysis by insufficient ICT infrastructure (3)
F.5.E % of enterprises that did not perform Big Data analysis by difficulty in complying with privacy laws (3)
F.5.F % of enterprises that did not perform Big Data analysis by not a priority for the company (3)
F.5.G % of enterprises that did not perform Big Data analysis by insufficient quality of Big Data sources (3)
F.5.H % of enterprises that did not perform Big Data analysis by Big Data analysis is not useful for the company (3)
F.5.H % of enterprises that did not perform Big Data analysis by other factors (3)
F.6 % of enterprises that sold or gave access to its own Big Data to another company or organisation (4)
F.7 % of enterprises that purchased or accessed Big Data (4)
F.8 % enterprises with specific training in Big Data (4)
F.9 % enterprises with Big Data training provided by external providers (5)
Selected:
1
Total:
24
Size of the enterprise
Values that contain
Total
From 10 to 49
From 50 to 249
250 or more
Selected:
1
Total:
4
Choose format of the table
Size of the enterprise
Activity grouping (except CNAE 56, 64-66 and 95.1)
Main variables
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Decimals to show:
By default
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Notes
1) The codes at the beginning of each literal refer to the corresponding question of the questionnaire or the section from which they are taken 2) main variables: (1) Percentage of total enterprises that performed Big Data analysis with their own employees (2) Percentage of total enterprises that not performed Big Data analysis neither by its own employees nor by other enterprises or organizations (3) Percentage of total enterprises that did not perform Big Data analysis but considered doing so (4) Percentage of total enterprises that performed Big Data analysis neither by its own employees nor by other enterprises or organizations (1) Percentage of all companies with specific training in Big Data The symbol '..' means that the data are not published in compliance with statistical confidentiality The symbol '.' means that no information exists
Total:
0
series
y
0
cells
Source:National Statistics Institute