For those of us in the location data industry, we must adapt to the new world we live in and find solutions to solve the age-old problems our clients face. Foreground data (data that is captured only when a user has an app open) has the potential to be just as effective and insightful and can offer even greater insights into how people interact in the physical world.
Companies conducting location analysis can use three methods to help keep their solutions robust in this next era of location data; layer in foreground apps, reduce noise, and capitalize on inferences.
Three Methods to Deploy Foreground Data Effectively
For those of us in the location data industry, we must adapt to the new world we live in and find solutions to solve the age-old problems our clients face. Foreground data (data that is captured only when a user has an app open) has the potential to be just as effective and insightful and can offer even greater insights into how people interact in the physical world.
Companies conducting location analysis can use three methods to help keep their solutions robust in this next era of location data; layer in foreground apps, reduce noise, and capitalize on inferences.