Using customer relationship management data non exhibiting unique user identifiers for creating geo statistical representations of the users

1. A computer implemented data processing system for using customer relationship management (CRM) data non-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 network-connected devices identifier is arranged to:

repeatedly identify, every a first time period, all active network-connected devices 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;

factorize said difference by the ratio of stationary non-active network-connected device and the total number of network-connected devices 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. The data processing system according to claim 1 , wherein the location-based combiner is further arranged to estimate global phenomena to specific carrier network connected-devices ratios.

3. The data processing system according to claim 1 , wherein the CRM data categorizer analyzes the deciphered tables using CRM profiles by categorizing and summing the CRM data by user profiles.

4. The data processing system according to claim 1 , wherein the CRM data categorizer analyzes the deciphered tables using CRM profiles is conducted such that properties of a particular area are used to deduce further information in relation to the users located in the particular location area.

5. The data processing system according to claim 1 , wherein the CRM data categorizer analyzes the deciphered tables using CRM profiles such that properties of a particular categorized user profile are used to deduce further information in relation to the particular location area in which the users are located.

6. 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 active network-connected devices 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;

factorizing said difference by the ratio of stationary non-active network-connected device and the total number of network-connected devices;

deciphering the difference table by the authentication center of the network; and

analyzing the deciphered tables using CRM profiles.

7. The method according to claim 6 , further comprising joining over time, the deciphered tables with corresponding location area thereby creating at least one GIS (geographic information system) data layer.

8. The method according to claim 7 , further comprising estimating global phenomena to specific carrier network connected-devices ratios.

9. The method according to claim 6 , wherein analyzing the deciphered tables using CRM profiles is preceded by categorizing and summing the CRM data by user profiles.

10. The method according to claim 9 , wherein analyzing the deciphered tables using CRM profiles is conducted such that properties of a particular area are used to deduce further information in relation to the users located in the particular location area.

11. The method according to claim 9 , wherein analyzing the deciphered tables using CRM profiles is conducted such that properties of a particular categorized user profile are used to deduce further information in relation to the particular location area in which the users are located.

12. 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 active network-connected devices 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;

factorizing said difference by the ratio of stationary non-active network-connected device and the total number of network-connected devices;

deciphering the difference table by the authentication center of the network; and

analyzing the deciphered tables using CRM profiles.

13. The computer program product according to claim 12 , wherein the method further comprising further comprising joining over time, the deciphered tables with corresponding location area thereby creating at least one GIS (geographic information system) data layer.

14. The computer program product according to claim 12 , further comprising estimating global phenomena to specific carrier network connected-devices ratios.

15. The computer program product according to claim 12 , wherein analyzing the deciphered tables using CRM profiles is preceded by categorizing and summing the CRM data by user profiles.

16. The computer program product according to claim 12 , wherein analyzing the deciphered tables using CRM profiles is conducted such that properties of a particular area are used to deduce further information in relation to the users located in the particular location area.

17. The computer program product according to claim 12 , wherein analyzing the deciphered tables using CRM profiles is conducted such that properties of a particular categorized user profile are used to deduce further information in relation to the particular location area in which the users are located.