Data Algebra can liquify any set of big data, then represent it in any form and map between equivalent data structures. It can treat a full set of personal data currently distributed in multiple locations as a single logical data store, allowing for unification and interoperability of all personal data.
Data Algebra enables data sourced from a variety of formats to be normalized. Now, data stored in any and all databases – Relational, Flat, JSON, XML, Blockchain, and more – can be integrated and queryable.
The ability to liquify data is fundamental to Permission’s mission. Individuals can now aggregate data from multiple sources (shopping, social, health, financial, etc) and monetize that data across the entire digital ecosystem. For advertisers, it enables a comprehensive understanding of an individual’s data, resulting in more meaningful engagement and increased ROI.