Overview

Data is the lifeblood of modern organizations - but without strong governance, it can become a source of confusion, risk, and lost opportunity. Practical Data Governance is a clear, actionable guide to building and sustaining a governance program that works in the real world, from the first pilot project to scaling across an enterprise. Drawing on over 30 years of hands-on experience, the author blends practical strategies, industry insights, and engaging stories to show you how to align governance with business goals, gain executive sponsorship, and avoid the pitfalls that derail so many initiatives. This isn't theory - it's a playbook you can put into action immediately. Inside, you'll discover how to: Clarify what data governance really is (and isn't) Build the business case that earns buy-in and funding Start small with quick wins that prove value Define roles, responsibilities, and decision rights that stick Select and integrate the right tools without overengineering Measure success with metrics that matter Embed governance into everyday workflows and culture Adapt governance for growth, M&A, cloud environments, and AI Apply governance strategies to compliance-heavy sectors like finance, healthcare, and government Launch a 90-day governance plan that delivers results fast With frameworks, checklists, and templates, plus candid case studies from industries under pressure, this guide will help you: Improve data quality and trust Reduce regulatory and security risk Accelerate analytics and AI adoption Build a culture of accountability and shared ownership Whether you're a Chief Data Officer, compliance lead, analytics manager, or project sponsor, Practical Data Governance will give you the roadmap, tools, and confidence to lead a governance program that lasts.

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