Big data analysis by size class of enterprise
methods, notes and classification
- Size classes in number of persons employed
- 00 From 0 to 1 person employed
- 01 From 0 to 9 persons employed
- 02 From 1 to 4 persons employed
- 03 From 1 to 9 persons employed
- 04 From 2 to 9 persons employed
- 05 From 5 to 9 persons employed
- 06 From 10 to 49 persons employed
- 07 From 10 to 249 persons employed
- 08 10 persons employed or more
- 09 From 50 to 249 persons employed
- 0a 250 persons employed or more
- Statistical classification of economic activities in the European Community (NACE Rev. 2)
- 000 All activities (except agriculture, forestry and fishing, and mining and quarrying), without financial sector
- Information society indicator
- 000 Analyse big data from smart devices or sensors
- 001 Analyse big data from geolocation of portable devices
- 002 Analyse big data generated from social media
- 003 Analyse big data from other sources (than E_BDASDS, E_BDALOC, E_BDASM)
- 004 Analyse big data internally from any data source
- 005 Analyse big data internally from any data source (disregarding other sources)
- 006 Analyse big data internally using machine learning
- 007 Analyse big data internally using natural language processing, natural language generation or speech recognition
- 008 Analyse big data internally using other methods (than E_BDAML, E_BDANL)
- 009 Analyse big data internally using any method (of E_BDAML, E_BDANL, E_BDAOM)
- 00a Have another enterprise or organisation perform big data analysis for the enterprise
- 00b Analyse big data internally from any data source or externally
- 00c Enterprises sold (access to) its own big data
- 00d Enterprises purchased (access to) any big data
- 00e Enterprises analysing big data from any data source (until 2018)
- 00f Enterprises analysing big data from any data source (excluding other sources) (until 2018)
- 00g Analyse own big data from enterprise's smart devices or sensors (until 2018)
- 00h Analyse big data from geolocation of portable devices (until 2018)
- 00i Analyse big data generated from social media (until 2018)
- 00j Analyse big data from other sources (until 2018)
- 00k Big data analysis for the enterprise is done by the enterprise's own employees and by an external provider (until 2018)
- 00l Big data analysis for the enterprise is done by the enterprise's own employees (until 2018)
- 00m Big data analysis for the enterprise is done by an external service provider (until 2018)
- 00n Enterprises analysing big data internally (from any data source) or externally and using IoT (until 2020)
- 00o Enterprises analysing big data internally (from any data source) or externally but not using IoT (until 2020)
- Unit of measure
- 00 Percentage of enterprises
- 01 Percentage of enterprises analysing big data internally or externally
- 02 Percentage of enterprises analysing big data
- 03 Percentage of the enterprises which use a computer
- 04 Percentage of enterprises where persons employed have access to the internet
- Geopolitical entity (reporting)
- 000 European Union - 27 countries (from 2020)
- 001 European Union - 28 countries (2013-2020)
- 002 European Union - 27 countries (2007-2013)
- 003 European Union - 15 countries (1995-2004)
- 004 Euro area (EA11-1999, EA12-2001, EA13-2007, EA15-2008, EA16-2009, EA17-2011, EA18-2014, EA19-2015, EA20-2023, EA21-2026)
- 005 Belgium
- 006 Bulgaria
- 007 Czechia
- 008 Denmark
- 009 Germany
- 00a Estonia
- 00b Ireland
- 00c Greece
- 00d Spain
- 00e France
- 00f Croatia
- 00g Italy
- 00h Cyprus
- 00i Latvia
- 00j Lithuania
- 00k Luxembourg
- 00l Hungary
- 00m Malta
- 00n Netherlands
- 00o Austria
- 00p Poland
- 00q Portugal
- 00r Romania
- 00s Slovenia
- 00t Slovakia
- 00u Finland
- 00v Sweden
- 00w Norway
- 00x United Kingdom
- 00y Bosnia and Herzegovina
- 00z Montenegro
- 010 North Macedonia
- 011 Serbia
- 012 Türkiye
Variables