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 fundingStart small with quick wins that prove valueDefine roles, responsibilities, and decision rights that stickSelect and integrate the right tools without overengineeringMeasure success with metrics that matterEmbed governance into everyday workflows and cultureAdapt governance for growth, M&A, cloud environments, and AIApply governance strategies to compliance-heavy sectors like finance, healthcare, and governmentLaunch a 90-day governance plan that delivers results fastWith frameworks, checklists, and templates, plus candid case studies from industries under pressure, this guide will help you: Improve data quality and trustReduce regulatory and security riskAccelerate analytics and AI adoptionBuild a culture of accountability and shared ownershipWhether 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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