Data Readiness

Two executives receive the same facts — one as a dense export, one as a clear briefing. The facts are identical; the ability to use them is not. AI assistants face the same challenge, and the handover between trusted data and the model can quietly decide whether the answer is right.

Most organisations know they hold valuable data. Far fewer can say what exists, where it lives, or whether it can be trusted. Twelve practical steps for CIOs and CTOs who want to close that gap.

“No one ever got fired for buying IBM.” But enterprise software still rooted in 1980s architecture is the source of the poor-quality data that stalls AI programmes, and CIOs now face a do-or-die decision.

For CEOs, CFOs and COOs, being data-driven is no longer an innovative strategy but an absolute imperative. What it takes to build the culture, governance and tooling that AI depends on.