Data Governance

66% of technology projects end in partial or total failure — and after years of directing CRM and ERP implementations, the failure point is almost always the same. Not the build. Not the testing. The data mapping. Here's why reference data is the structural choke point of every enterprise migration, and what an actual fix looks like.

Have you ever wondered why it takes months to produce a new management report or corporate dashboard? These frustrating delays, endless debates over data definitions, and inconsistent metrics often point to a hidden issue: poorly managed reference data.

Organisations spend heavily on data lakes, warehouses and cloud migrations and still struggle to get business insight out. A semantic layer — metadata, taxonomy, ontology and knowledge graph — is what closes the gap.

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.

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.