Content related to Data Management Methodologies.
View All Tags
You have acquired a business. It has been trading successfully for years on its own systems, with its own processes and its own way of describing what it does.
Within weeks, someone will propose moving it onto yours.
That instinct is understandable and it is usually expensive. There is another way to get what the board actually wants, and it starts by separating two problems that are almost always treated as one.
Most organisations answer "is our data AI-ready?" with a feeling rather than a fact. The platform is modern, the warehouse is populated, a governance programme exists — so it probably is.
It usually is not, and the gap only surfaces once a model is in production and its answers start contradicting things the business knows to be true.
These seven questions give you a straight answer. They are deliberately phrased so you can respond yes or no. If a question needs a qualified answer, treat that as a no.
"AI-ready data" is now everywhere, and most definitions of it agree: clean, governed, contextualised, accessible, traceable. All true, and all hard to argue with.
The trouble is that these describe the destination. They do not explain why so few organisations arrive.
The reason is narrower and more awkward than "data quality". Most organisations cannot agree what their core business objects actually are — and no AI system will resolve that for you. It inherits the disagreement and scales it.
Yes.
CryspIQ® is both a methodology and a technology-enabled approach to modern data management. It rethinks how data is captured, prepared, and delivered for analytics—focusing on simplicity, speed, and accessibility for all users, not just technical specialists.
When I spoke to Vaughan a couple of years ago he told me that Dan and he was building something amazing. He spoke about a data model that can take in any type of data and report on it.
Having worked in large corporate and government data warehouse environments, I was naturally sceptical as you may be. I also fiddled with universal data models when I was studying at university, so the project and product had my attention.
I really wanted to see it in action and after spending some time on the East Coast in another BI role and trying my hand as an IT Manager, I joined the CryspIQ® team.