Using customer relationship management data exhibiting unique user identifiers in a cellular network for creating geo statistical representations of the users
A computer implemented data processing system for using customer relationship management (CRM) data exhibiting unique user identifiers in a cellular network for creating geo-statistical representations of the users. The system is arranged to: repeatedly identify all network-connected devices which are both active and idle in each location area using the unique identifier; repeatedly create a table for all location areas, each table exhibiting: location area identifier, unique user identifier, time of inflow to the location area, time of outflow from the location area; and differentiate table of time N−1 over table of time N thereby detecting inflow outflow quantities of unique identifiers for each location area; decipher the difference table by the authentication center of the network; analyze the deciphered tables using CRM profiles; and join over time, the deciphered tables with corresponding location area thereby creating at least one GIS data layer.
1. A computer implemented data processing system for using customer relationship management (CRM) data exhibiting unique user identifiers in a cellular network comprising a plurality of location areas and further in operative association with network-connected devices associated with users, for creating geo-statistical representations of the users, the system comprising:
a network-connected devices identifier;
a CRM data categorizer; and
a location-based combiner, wherein the a network-connected devices identifier is arranged to:
repeatedly identify, every a first time period, all network-connected devices which are both active and idle in each location area using the unique identifier;
repeatedly create a table, every a second time period comprising a plurality of the first time period, for all location areas, each table exhibiting: location area identifier, unique user identifier, time of inflow to the location area, time of outflow from the location area; and
differentiate table of time N−1 over table of time N thereby detecting inflow outflow quantities of unique identifiers for each location area; and wherein the CRM data categorizer is arranged to:
decipher the difference table by the authentication center of the network; and analyze the deciphered tables using CRM profiles; and
wherein the location-based combiner is arranged to join over time, the deciphered tables with corresponding location area thereby creating at least one GIS (geographic information system) data layer.
2. A method of using customer relationship management data exhibiting unique user identifiers in a cellular network comprising a plurality of location areas and further in operative association with network-connected devices associated with users, for creating geo-statistical representations of the users, the method comprising:
repeatedly identifying, every a first time period, all network-connected devices which are both active and idle in each location area using the unique identifier;
repeatedly creating a table, every a second time period comprising a plurality of the first time period, for all location areas, each table exhibiting: location area identifier, unique user identifier, time of inflow to the location area, time of outflow from the location area;
differentiating table of time N−1 over table of time N thereby detecting inflow outflow quantities of unique identifiers for each location area;
deciphering the difference table by the authentication center of the network; and
analyzing the deciphered tables using CRM profiles.
3. A computer program product, comprising a non-transitory computer usable medium having a computer readable program code embodied therein, the computer readable program code adapted to be executed to implement a method of using customer relationship management data exhibiting unique user identifiers in a cellular network comprising a plurality of location areas and further in operative association with network-connected devices associated with users, for creating geo-statistical representations of the users, the method comprising:
repeatedly identifying, every a first time period, all network-connected devices which are both active and idle in each location area using the unique identifier;
repeatedly creating a table, every a second time period comprising a plurality of the first time period, for all location areas, each table exhibiting: location area identifier, unique user identifier, time of inflow to the location area, time of outflow from the location area;
differentiating table of time N−1 over table of time N thereby detecting inflow outflow quantities of unique identifiers for each location area;
deciphering the difference table by the authentication center of the network; and
analyzing the deciphered tables using CRM profiles.