Infrastructure planning by government, municipal and private companies requires a significant predictive analysis that is finally done using enormous volumes of traffic, movement and location data. Transport infrastructure, roads, traffic, tourism venues, sightseeing attractions, hotels and similar capacity in smart cities is always planned and managed through availability and processing of large volumes of live and historical data.

Retail chains like supermarkets, gas stations, commercial malls and similar need location data and data analytics to identify areas with the highest sales potential and locate sales points. Rooting the traffic of shoppers and customers in the most efficient ways is also related to location data availability and processing.