Traditionally, disparate data sits in separate data silos to be brought together through expensive extraction, transformation and load procedures
to convert data into a ready to consume format for reporting and analysis.
Due to the variety of data formats available to organizations the work required to accomplish this transformation is expensive and tedious.
The better way is not to have to transform data in the first place; that is, to store all data in one location in the same way.
enCapsa solves the expensive and tedious data extraction and transformation problem by creating a unique, unitary imformation store (or data lake) where all data is the same.
By storing your data in an enCapsa data store, either at runtime or as a pull from a local or remote source, you are making all your data the same,
and since it is now uniform there is no need to transform, map, or do any of the things we traditionally do to disparate data to make it meaningful.