The presentation outlines the techniccal insights of TomTom’s traffic data analytics portfolio processing billions of probe based speed information day-to-day. With the introduction of TomTom’s historic and real-time traffic technologies IQ Routes and HD Traffic in 2007 the portfolio has been implemented in nearly over 40 countries globally. The backbone of the technology is community data from GPS enabled navigation devices, fleet management solutions as well as GPS based smartphone applications for road users. Today, the entire Traffic Community of HD Traffic consists of more than 100 Mio. users resulting in precise travel time data forecasts for the entire road network. All the traffic content has been fully integrated into navigation software as well as applications for traffic planning and management. The increasing community of connected navigation devices using precise traffic information is also contributing for a better utilization of the road network when drivers follow dynamic route guidance. Precise traffic information used in navigation systems is a key asset to achieve better routing and up to date time of arrival information in congested around the globe. Traffic management can greatly benefit when traffic infrastructure can be replaced by a community based detection and control system. Using the pool of historic probe measurements TomTom publish the Congestion Index for 160 global cities on quarterly basis. This gives people a fair benchmark to compare congestion level during normal business and peak hours. The presentation will give various examples how the probe data base of TomTom can be used in different areas of big data analytics