Predicting and preventing car thefts, optimizing waiting times for emergencies, better targeting of customs controls, identifying energy deficient buildings, identifying companies that will soon be recruiting and informing the relevant job seekers, addressing the shortage of teachers in school, optimizing traffic lights to decongest and clean upA�the city centers, revising the price calculation formula for medicinal drugs, negotiating electricity purchases by anticipating and controlling consumption peaks, negotiating better public procurements, predicting the micro-economic effects of a tax reform, forecasting medical investment needs through the analysis of scientific literature…A�all these uses of predictive analysis are within reach of public authorities. They hold enormous potential for efficiency, expenditure control and policy accuracy.
Predictive analysis is only one example of a set of new practices : a�?data-driven strategiesa�?, which for example allow :
- To regulate an industrial sector by a releasing relevant data a�� as the French government is experimenting with geolocation data from taxis to enable them to benefit from digital services;
- To organize information so that individual public servants can take better decisions;
- To improve the day-to-day work of front-office staff by providing them with more real-time information;
- To increase the autonomy and freedom of choice for public service users a�� for example in predicting the likeliness of a successful legal procedure.
These promises carried by data sciences are at the core of the digital transformation of big companies and large cities worldwide and are one of the levers for the modernisation of public action. This implies integrating new skill sets in government teams: data scientists, statisticians with innovative profiles, computer geeks, keen on new data-processing methods, and concerned with the concrete impact and translation of their mathematical results. It requires high-quality data a�� that France does indeed produce and handle following a long-standing tradition, thanks to its high standard statistics and its commitment to the quality of public service. It also requires an enhanced culture of a�?data-driven strategiesa�?, an ambition to carry this type of change and the patience to continuously test and verify whether small changes can produce major improvements.
The correct implementation of these methods, however, requires a prior effective data governance, i.e. global management of data produced or held by government to ensure the quality, freshness, interoperability and availability in the correct formats, facilitating swift use and dissemination amongst public servants a��from central and local governments a��so that they receive the information necessary to the performance of their tasks in compliance with important statutory secrets that protect fundamental freedoms and the nationa��s fundamental interests. It also requires organisation that allows the State control and sovereignty over its data, processes and systems, and provides citizens the transparency they are entitled to claim.
This first report, based on a year of investigation, exchange and experimentation with numerous public officials and many administrations intends to provide a framework of analysis, detect promises and illusions of data-driven science, present initial results, report the initial difficulties encountered and suggest first orientations, including a collaborative mapping of the data available in the State, open to all administrations who wish to participate and benefit from it. Api.gouv.fr and FranceConnect are concrete examples of the strategic framework of State as a platform.