This ebook introduces a governance framework tailored for banks seeking to scale analytics while meeting strict regulatory requirements. It explains how governance supports innovation by balancing control and empowerment. The guide outlines a five-phase lifecycle covering development, testing, scheduling, production, and isolated environments for high-risk use cases. It also addresses governance for AI, emphasizing explainable and deterministic insights over opaque models. The ebook shows how embedded governance improves auditability, reduces operational risk, and accelerates regulatory reporting. It concludes that modern analytics governance enables banks to innovate safely, collaboratively, and at scale.

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