Open data: what can France gain by opening up its data more quickly?
With article 1 of the digital bill, France could introduce “open data” by default, ie the “obligation to disseminate online the main documents and data of public bodies”. Good news, according to Gilles Babinet, the Digital champion of France at the European Commission. “It is just a shame that this does not concern local authorities,” he said.
While the public sector has already taken initiatives to open up data, some organizations and sectors are still resisting. Gilles Babinet regrets, for example, that Pôle emploi has not created an API to allow start-ups to use its data, in particular to develop solutions likely to facilitate job search.
Where is France in terms of open data, especially compared to its European neighbors? What resistance exists and why? What should be the border between public data and private life? More details with Gilles Babinet, entrepreneur and Digital champion of France at the European Commission.
L'avis de Laurence Augoyard, CEO d’Altares, acteur de la data.
At the request “Open data” Google did not respond to anything, there is still some time. Since then, the concept of open data is on all keyboards. It has infiltrated the business plans of start-ups whose names we will discover tomorrow, it has been invited into all sectors of activity where data occupies a growing place and has even sat at the table of discussions and of the Bercy negotiations.
Faced with the new El Dorado that constitutes the potential availability of a considerable volume of data, free of charge, the time has come to set the record straight. The proliferation of data deposits that feed what is now called the new black gold, masks a completely different reality.
If the analogy between oil and data is particularly well chosen, it gives the opportunity to come back to reality.
As Antony Scriffignano (Dun & Bradstreet Chief Data Scientist) rightly recalled in one of the episodes ofAntony’s Web Series, on Be Data Blog, oil is free. Find oil in your garden, it is yours, you are rich. With the difference that between the crude stage and the state which makes it marketable and usable, oil goes through a large number of stages:
- Extraction: evaluation, primary recovery, treatment of fluids, secondary recovery, tertiary recovery, management of resources and reserves …
- Distribution: transport (by pipeline, by sea), storage, etc.
- Conversion into products: light gas, propane, butane, naphtha, kerosene, gasoline …
- Final distribution: petrol pumps
- Environmental impact management.
Crude oil is worth almost nothing, just like data. Open data or not, increase in the volume of data available or not, increase in the variety of data produced or not, acceleration of the speed of appearance of data or not … it is in terms of the ability of companies to exploit their data, that the data war will be won.
It shows both a similarity with oil and at the same time a difference of size:
- Whether they belong to one or another of the major categories that distinguish them (structured data, unstructured data, master data, operational data, black data, social data, open data, big data, smart data, meta data … data will not constitute a differentiating factor for companies and on which the businesses can rely, only if, like oil, they have gone through a certain number of stages.
- Like the oil industry of which everyone knows the stages, guesses behind the scenes by reading between the lines of geopolitical news and consumes its products on a daily basis (gasoline), the very old data industry is it more discreet, less publicized, more complex, more sophisticated, mastered by a smaller number of historical actors and only today enters a phase of evangelization of all.
So as not to betray any secrets, here is an anthology, carefully mixed, of processes, issues, know-how, techniques, customer issues, properly data and whose secrets belong to us: organization of data, quality, governance , DMP, scope, crunching, model, structuring, labeling, standardization, deep learning, sharing, securing, data visualization, volumes, temporality, invalid data, churn prevention, reliability, data scientist, life time value, duplicate data, traceability, verification, master data management, conflicting data, consumption, data exploration, 360 ° vision, prediction, IOT, data economy, standardization, algorithm, data mining, segmentation, velocity, unynchronized data, analysis, score, data clustering, consistency, digitization, data management platform, data driven marketing, machine learning, inductive CRM, weak signals, data driven marketing …
Behind each of these words, which would form a beautiful semantic cloud, lie new opportunities for the monetization of company data, which we invite to think in seven directions:
- Awareness of their data capital
- Establishment of governance of their data
- Identification of fundamentals: consistency, security, integrity, accessibility …
- Launch of real data programs
- Valuable creation
- Establishment of trust within the framework of new modes of collaboration
- Building a new competitive advantage
After the blackness of the oil, from the bottom of the boreholes, the dark conflicts it stirs up, to the black clothes of James Dean in Giant, place to highlighting data through movement Be Data it is up to you to join.
[Contenu créé par la rédaction de FrenchWeb.fr et sponsorisé par Altares]