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The article explains how a well‑defined technical roadmap, encompassing architecture, data governance, storage, analytics, and automation, aligns tools and technologies with business goals to create a results‑driven enterprise data strategy and avoid common pitfalls.
The article explains how Enterprise Architecture (EA), especially when guided by frameworks like TOGAF, bridges business strategy and technical execution through governance, capability and technical roadmaps, and a structured repository, while highlighting common misconceptions and proposing a collaborative, cross‑organizational role for EA to deliver real business value.
The article explains that a successful outcome‑driven enterprise data strategy requires a well‑aligned technical roadmap covering architecture, governance, storage, analytics, automation and emerging technologies such as AI and blockchain, and offers practical steps for assessing readiness and prioritizing implementation.
The article explains that a successful outcome‑driven enterprise data strategy requires a well‑defined technical roadmap covering architecture, governance, storage, analytics, automation and emerging technologies such as AI and blockchain, all aligned with business priorities and goals.