Data Maturity, Part 2b – The European Union and the “Creating Value” Capgemini Report


Last week I took a look at data maturity in the European Union using the Open Data Barometer as the main metric. This week I’ll examine the report by Capgemini Consulting titled “Creating Value through Open Data” which examines the economic benefits of the reuse of open data for the EU28+ within the context of the European Data Portal.

The Capgemini report was published November 2015 and uses the following four key indicators in forecasting the economic benefits of open data reuse: direct market size, number of jobs created, cost savings and efficiency gains. Capgemini goes on to define data maturity by comparing the open data portal’s inception date in each country with other indicators. A country is classified by being a Trend Setter, Follower, Advanced Beginner or Beginner. In 2015, 31% of the EU28+ countries were classified as Trend Setter, 50% were Followers and 19% were Beginners. The report predicts that by 2020 all countries will have a fully operational data portal and almost all will have become Trend Setters.

Open data cuts across multiple sectors of the economy. The total market size of open data reuse across all sectors is just over 200 bn EUR in 2016. However the public administration sector will benefit most with a value of 22bn EUR in 2020, followed by industry with 10 bn EUR, transportation with almost 10 bn EUR, etc. The gains for agriculture, arts and other industries are smaller with 379 million EUR each but with lots more future potential. It’s also estimated that the forecasted number of total jobs will be about 75,000 in 2016 with a growth rate of 32% over the next 5 years.

Efficiency is a more qualitative open data maturity measurement than the economic impact. The aim of efficiency is to minimize waste and ultimately improve how resources are allocated. Open Data in the EU28+ has the potential of saving drivers 629 million hours each year and possibly 1,425 lives a year (about 5.5% of road fatalities). Unfortunately the report authors don’t show any of their raw data used to come to these conclusions so we may trust their reported data accordingly.

Sustaining and improving open data programs in the EU will happen as more data is released on the costs and benefits of making data ‘open by default’, robust feedback mechanisms for data users are created and success stories and return on investment is amplified outside of the typical data community. Next week we’ll take a look at data maturity for open data in the rest of the world.

** After this blog publication 2/8/16, a reader brought to my attention the OpenDataSoft website which lists the best Open Data portals in the EU and around the world.

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