Abstract: Systems and methods for universal data modeling are disclosed. Exemplary embodiments include an information processing apparatus that can acquire a plurality of different data types form different sources that contains both anonymous and nonanonymous customer data. This data is ingested into a data repository and a quality control check is applied to the data The data is enriched and data analytics are applied to the data in order to associate at least some of the data with a customer.

Abstract: Systems and methods for data ingestion are disclosed. According to one embodiment, in an information processing device comprising at least one computer processor, a method for data ingestion may include: (1) comparing current metadata for data in a data source to a prior metadata for data the data source to identify a change in a data structure or a new data structure for stored data stored in a target platform; (2) determining that the data structure for the data has changed; (3) changing the data structure or creating a new data structure on the target platform to confirm to the data structure; (4) dynamically conforming the data in the data source to the new data structure; and (5) dynamically extracting and loading the data from the data source to the target platform.

Abstract: Systems and methods for universal data modeling are disclosed. According to one embodiment, in an information processing apparatus comprising at least one computer processor, a method for universal data modeling may include: (1) acquiring a data of a plurality of different data types from a plurality of data sources, the data comprising anonymous and nonanonymous customer data for customers of an organization; (2) ingesting the data into a data repository; (3) applying at least one quality control check to the data; (4) enriching the data; and (5) performing data analytics on the data to associate some of the data with one of the plurality of customers.