Samenvatting

Big Data is the new hype in municipal policy and the promise of Big Data is rationalization: better policy that is based on better information. In this article the authors investigate the extent to which the use of Big Data in municipal organizations results in a more rational policy process. Their empirical research was held in two Dutch municipalities: Tilburg, in the south of the Netherlands, and Assen, in the north of the Netherlands. They investigated how Tilburg deploys Big Data for the fight against crime and Assen is trying to improve its traffic management with Big Data. Their analysis shows that policy, more so than in the past, is being steered by specific information because Big Data is being used. The rationalization of policy, however, is limited by the possibilities of Big Data and by political dynamics. Their final conclusion therefore is that the uncertainty, unfamiliarity, complexity and constant change are partly made manageable and controllable by the use of Big Data in municipal organizations. Politics is also partly ‘tamed’ because politicians have to relate to ‘objective data’ from information systems.