Mathematical Summaries of Telecommunications Data for Data Analytics

A system comprising:

• at least one computer processor;
• said at least one computer processor configured to perform a method comprising:
• identifying a first class of activities performed by a mobile device;
• identifying a first plurality of activities within said first class of activities;
• generating at least one summary statistic for said first plurality of activities, said summary statistic being semantic-free and at least a first order statistic;
• and
• causing said at least one summary statistic to be stored in a database, said at least one summary statistic being associated with an anonymized identification associated with said mobile device.

A system having at least one processor, said system being configured to execute a method on said at least one processor, said method comprising:

• receiving telecommunications data comprising cellular tower logs, said cellular tower logs comprising a cell tower identifier, a subscriber identifier, and a timestamp;
• for each of said subscriber identifier, generating a set of mathematically descriptive location-derived statistics, said set of mathematically descriptive location-derived statistics being semantic-free and first order or greater statistics;
• said telecommunications data further comprising call detail records, said call detail records comprising an originating subscriber identifier, a receiving subscriber identifier, and a timestamp;
• for each of said originating subscriber identifier and said receiving subscriber identifier, generating a set of mathematically descriptive communications-derived statistics, said set of mathematically descriptive communications-derived statistics being semantic-free and first order or greater statistics;
• and
• storing said mathematically descriptive location-derived statistics and said mathematically descriptive communications-derived statistics in a telecom database.