The history behind CryspIQ®

For over 25 years, organisations have typically adopted one of two foundational data warehousing approaches—Inmon or Kimball. While each offers clear benefits, both present challenges when it comes to accessing and using data effectively from the warehouse. By combining the strengths of these methodologies, a new, more effective paradigm emerges. However, realising its full potential requires a fundamental shift in thinking: moving away from the traditional practice of organising data to mirror its source systems. This habitual clustering limits the ability to abstract and reuse data for business self-service, analytics, and reporting.

The Crysp® relationship with CryspIQ®

In 2016, we set out to address a critical business challenge: "Organisations cannot ask direct questions of their data without relying on specialist technical expertise—leading to interpretation errors, subjectivity, delays, and increased cost." To solve this, we designed, prototyped, developed, and patented a new decomposition methodology and universal data structure—now known as CryspIQ®. This innovation has been encapsulated in a SaaS product, purpose-built for market deployment. The result is CryspIQ®: a complete, end-to-end Data Fabric solution that empowers true business self-service and accelerates your AI journey.