Sourced data is normalized and archived in AirSage’s Big Data system in a secure and accessible format. Irrespectively of the final use case, proprietary pre-processing is run on the data. This includes some unique features such as:

• Accurate point classification: every user location is classified whether it represents a person in motion or stationary. This is then very critical, for example, when trying to count visitation to a location and differentiate between people who just passed by and those who actually spent time at the location. In a recent comparison of the AirSage point classification with an independent source, we found that the AirSage data was more than 99.9% accurate.
• Home/Work assignment: to serve several use cases, the need for high-quality assignment of the location in which the mobile device holders live and work are critical. These assignments need to be able to cope with extraordinary cases, such as people relocating to a vacation home for a few weeks or even months, people working night shifts regularly, etc.