Most migrations stumble over data. When “fit-for-purpose” data isn’t there at cutover, projects slip, costs rise, and post–go-live incidents spike.

This whitepaper lays out a practical way to change that. We introduce DQC’s proven executive-ready operating model 5D: Discover, Define, Deliver, Defend, Demonstrate that treats data as a governed product.

You’ll see how best-in-class programs:

• Discover the real risks fast and quantify them with a business-weighted score

• Define clear, executable rules tied to Day-1 outcomes

• Deliver measurable improvements through repeatable and automated fixes

• Defend against regressions with lightweight UI/API/pipeline guardrails

• Demonstrate readiness with a single score, a formal quality gate, and post-go-live drift watch

For each part, find out what role AI can play and how the best transformation programs are supported by modern technology.

The best practices are derived from dozens of system transformation projects and interviews of transformation leads at mid-sized or large-scale enterprises.

If you need a migration that lands on schedule and stays stable, start here.