Traffic accidents in cities lower the quality of life and put more stress on the city's infrastructure. In the context of smart cities, more and more data are becoming available that can be used to study the phenomenon in more depth. We propose a process for combining information from different sources, such as road accidents, weather, local government reporting tools, traffic, and the fire department.

Several organizations deal with a large amount of data on a daily basis. Such organizations constantly look for solutions to optimize the storage of such massive data. Along with storing another concern is analyzing a huge volume of data. This together with the scalability of infrastructure and a budget-friendly solution is something that organizations look for.