Using customer relationship management data exhibiting unique user identifiers in a cellular network for creating geo statistical representations of the users

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.

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.