Case Study: Fintraffic improves traffic data quality with Digia's AI-powered reporting system

Fintraffic cuts data repair work from hours to 15 minutes with Digia

Fintraffic, a special assignment group under Finland's Ministry of Transport and Communications, needed to renew its end-of-life traffic volume data reporting system. Their challenge was to improve the system's usability and the quality of its data, which is critical for national traffic planning and decision-making. They partnered with Digia's business intelligence unit, Productivity Leap, to develop a modern solution.

Digia implemented a cloud-based reporting system featuring a machine learning application that automatically identifies and suggests corrections for data anomalies. This solution significantly improved data quality and enhanced the work of experts, reducing the time spent on data repair from several hours to a quarter of an hour. The new system is more user-friendly, has gained more users, and provides open data access, ultimately benefiting society with more reliable traffic information.

Fintraffic