Abstract: As a company expands its businesses to include digital products and services in addition to more traditional telecommunications and media offerings, digital consumption data may be used along with telecommunications consumption data and other customer-centric information in order to create a more comprehensive data model and make better predictions. A customer-centric data model identifies entities with data from diverse locations and product sectors associated with a single customer. Customer analytic records aggregate existing data into base variables and store it for each customer along with additional variables generated by performing calculations on exiting data. Both the data model and the customer analytic records can be used by the company to make more accurate business and marketing decisions.