Traffic analysts can get the most out of connected vehicle data and their GIS tools by following a few pro tips for assessing data. 4 Capabilities to Look for in a Data Visualization Tool They offered some key capabilities to keep in mind when choosing data analysis tools and presented some of their favorite tools – both free and paid. We asked our data analysts to share some of their favorite traffic mapping software. Otonomo data integrates easily with any mapping or BI tool you can think of, due to its easy API and CSV exports. In order to extract the most valuable insights from such nuanced data, traffic data analysts need to choose the right data visualization and GIS tools for their traffic analysis. The unique richness of Otonomo data is suited for insights to help improve smart cities, traffic management, road safety, and countless other use cases that begin with solid traffic data analysis. Otonomo’s connected vehicle data is particularly rich due to its diverse data attributes that provide many parameters: location, speed, engine status, road sign data, hazard data, and more. So big, in fact, that many app developers and data analysts find that data visualization is the best way to make sense of connected car and traffic data. Connected vehicle data is powerful, and it is big.

Traffic analysis tools