The 3 steps are Choose table, Choose variable and Show result. You are currently at Choose variable

012 -- Use of big data and public sector open data in enterprises by industry 2014-2016, share of enterprises

Choose variables

About table

Contact

Statistics Finland Tel. 029 17341 Mail to: tiede.teknologia@tilastokeskus.fi Homepage of the statistics

Official statistics

Latest update

4/12/2018

Unit

Creation date

4/12/2018

Yes

Source

Statistics Finland

Matrix

inn_012_201600

Now you have come to the page, Choose variable. This page give you the oportunity to select which variables and values you want to display in your result of the table. A variable is a property of a statistical unit. The page is divided into several boxes, one for each variable, where you can select values by click to highlight one or more values. It always starts with the statistics variable which is the main value counted in the table.

Year Mandatory

Selected 0 of total 2

Industry Mandatory

Beginning of word

Field for searching for a specific value in the list box. This is examples of values you can search for.All NACE - Total , Manufacturing, total , Mining and quarrying ,

Selected 0 of total 42

Contents Mandatory

Beginning of word

Field for searching for a specific value in the list box. This is examples of values you can search for.Number of enterprises, all enterprises , At least one of the data applications high in importance , At least one of the data applications high or medium in importance ,

Selected 0 of total 54

Number of selected data cells are:

(maximum number allowed is 300,000)

Presentation on screen is limited to 1,000 rows and 30 columns

Number of selected cells exceeds the maximum allowed 300,000

Footnotes

Description Concepts and definitions

All NACE - Total
Manufacturing, total
Mining and quarrying
Food products and beverages
Textiles
Wearing apparel
Leather and related products
Wood, products of wood, and cork
Paper and paper products
Printing and reproduction of recorded media
Chemicals and chemical products
Rubber and plastic products
Other non-metallic mineral products
Basic metals
Fabricated metal products, except machinery and equipment
Computer, electronic and optical products
Electrical equipment
Machinery and equipment n.e.c.
Motor vehicles, trailers and semi-trailers
Other transport equipment
Furniture
Other manufacturing
Repair and installation of machinery and equipment
Electricity, gas, steam and air conditioning supply
Water collection, treatment and supply
Sewerage, waste treatment
Services, total
Wholesale trade, except of motor vehicles and motorcycles
Transportation and storage
Postal and courier activities
Publishing activities
Telecommunications
Computer programming, consultancy and related activities
Information service activities
Financial service activities
Insurance, reinsurance and pension funding
Activities auxiliary to financial services and insurance activities
Architectural and engineering activities; technical testing and analysis
Programme production, sound recording and music publishing activities
Programming and broadcasting activities
Scientific research and development
Advertising and market research

Number of enterprises, all enterprises
At least one of the data applications high in importance
At least one of the data applications high or medium in importance
The importance of data use medium at highest
The importance of data use low at highest
Use of data not relevant to the enterprise
Data, big data in developing new products, high importance
Data, big data in developing new products, medium importance
Data, big data in developing new products, low importance
Data, big data in developing new products, not relevant to the enterprise
Data, open data in developing new products, high importance
Data, open data in developing new products, medium importance
Data, open data in developing new products, low importance
Data, open data in developing new products, not relevant to the enterprise
Data, big data in improving products, high importance
Data, big data in improving products, medium importance
Data, big data in improving products, low importance
Data, big data in improving products, not relevant to the enterprise
Data, open data in improving products, high importance
Data, open data in improving products, medium importance
Data, open data in improving products, low importance
Data, open data in improving products, not relevant to the enterprise
Data, data in development of process innovations, high importance
Data, data in development of process innovations, medium importance
Data, data in development of process innovations, low importance
Data, data in development of process innovations, not relevant to the enterprise
Data, data in development of organisation innovations, high importance
Data, data in development of organisation innovations, medium importance
Data, data in development of organisation innovations, low importance
Data, data in development of organisation innovations, not relevant to the enterprise
Data, data in development of marketing innovations, high importance
Data, data in development of marketing innovations, medium importance
Data, data in development of marketing innovations, low importance
Data, data in development of marketing innovations, not relevant to the enterprise
Data, use of data in research and development activities, high importance
Data, use of data in research and development activities, medium importance
Data, use of data in research and development activities, low importance
Data, use of data in research and development activities, not relevant to the enterprise
Data, data in managing the production process, high importance
Data, data in managing the production process, medium importance
Data, data in managing the production process, low importance
Data, data in managing the production process, not relevant to the enterprise
Data, use of data in marketing, high importance
Data, use of data in marketing, medium importance
Data, use of data in marketing, low importance
Data, use of data in marketing, not relevant to the enterprise
Data, selling big data to other enterprises, high importance
Data, selling big data to other enterprises, medium importance
Data, selling big data to other enterprises, low importance
Data, selling big data to other enterprises, not relevant to the enterprise
Data, buying big data from other enterprises, high importance
Data, buying big data from other enterprises, medium importance
Data, buying big data from other enterprises, low importance
Data, buying big data from other enterprises, not relevant to the enterprise