Location analytics is an enhanced way of collecting, harvesting and correlating historical location data from a massive number of network modules spanning different kinds of network generations. Especially in the last decade, monetization of historical location data has been a hot topic for CSPs. And in the last few years, the obstacles for real traction are surpassed one by one thanks to novel technologies and developments, such as:
- New Big Data solutions now allow cost-effective storage and manipulation of large data sets.
- The historical location data offers a wide range of use cases and opportunities with the digital transformation of existing services.
- Older location detection methods always had limitations based on high CAPEX investments; additional licenses were required based on the number of queries/geo-fencing/tracking; there was no capability to provide a list of the subscribers within a certain zone without certain methods that create huge network loads.
As the whole network became fully IP based with the LTE technology, it is now more practical to monitor and tap the necessary network elements.
Canvas Location Analytics Platform is designed to cover the requirements of CSPs for location based advertisement, lawful enforcement, public safety, security, smart city and also IoT applications.Canvas Location Analytics Platform (LAP) provides CSPs to monetize readily available subscriber location data by serving them to the needs of various businesses and organizations.
It offers diverse LBS/LBA capabilities, some of which are not feasible with conventional methods. The historical location data kept in Canvas LAP is available to be used for any kind of information set such as density management, trends or behaviors of specific regions, or for predictions based on intelligence and business analytics.
Canvas LAP provides CSPs to monetize readily-available subscriber location info, enables them to serve to the needs of a variety of businesses or any agencies and offers a wide range of diverse LBS/LBA capabilities some of which are not feasible via conventional methods. The historical location data that is kept in Canvas LAP is available to be used for any kind of information set such as density management, trends or behaviors of specific regions/subscriber base and also predictions based on intelligence and business analytics.