One architecture, one team, one transformation, not three parallel programmes blocking each other.
Builds pipelines, architecture, and data products with the analytics and AI end-state already in scope, so downstream workstreams don't have to retrofit.
Migration executed with the data layer as a first-class concern, not a separate workstream addressed 18 months later.
Analytical capabilities built on the modernized estate, delivering faster time to insight without waiting for a separate analytics programme to complete.
Insights surfaced at the point of decision, not in a dashboard that requires someone to remember to open it.
AI initiatives can't progress because the data foundation is owned by a different workstream that hasn't delivered yet.
Migration completed, but analytics and AI benefits haven't materialized because data wasn't rearchitected in the process.
Multiple data-adjacent workstreams running in parallel, duplicating effort, competing for resources, and incurring a combined cost that is difficult to defend.