1. A non-transitory computer-readable medium comprising executable instructions that when executed by a processor cause the processor to effectuate a method comprising the steps of: obtaining raw data from a plurality of different data sources, wherein the plurality of different data sources comprise a plurality of different business entities; analyzing the raw data to identify one or more data structures of the raw data and to tag data identifying at least one of the plurality of different data sources; generating a plurality of Universal Data Model (UDM) constructs, wherein each UDM construct is based at least in part on the identified one or more data structures of the raw data, wherein each UDM construct excludes the tagged data identifying at least one of the plurality of different data sources, wherein each UDM construct organizes the raw data into a particular arrangement of at least one row and at least one column, and wherein at least one UDM construct of the plurality of UDM constructs is different than another UDM construct of the plurality of UDM constructs; redacting the tagged data identifying at least one of the plurality of different data sources from the raw data to generate anonymous raw data; and integrating the anonymous raw data from the plurality of different data sources by extracting, transforming, and loading the anonymous raw data such that the anonymous raw data conforms to the UDM construct for the identified one or more data structures of the raw data, wherein the integrating generates anonymous UDM transformed data.