The history behind CryspIQ

For two and a half decades or more, organisations have followed one of the two data warehousing principles of Inmon and Kimball for preparation of data. Both methods have intrinsic benefits but leave organisations with some challenges in accessing warehoused data. By taking the best of both data warehousing practices a new paradigm is possible however, one fundamental mindshift is required to bring the value of data closer to the surface for business self service, analytics and reporting. This mindshift is the breaking of the human paradigm of clustering data in a format that represents the data source as this is the area that restricts data from being used in a more abstracted way.

The Crysp relationship with CryspIQ

In 2016, we set out to solve the following business problem: "Businesses are unable to ask direct questions of their Data without specialist technical input. This introduces interpretation, subjectivity, dependencies and cost."

To do this, we undertook the design, prototyping, development and patenting of a new decomposition methodology and universal structure that is called CryspIQ. We have encapsulated this method and structure into a SAAS product for distribution to the market. The outcome is CryspIQ which is a single end to end Data Fabric solution which enables your AI Journey.