The Guide to Data Governance for Banking Professionals: A comprehensive. step-by-step blueprint for implementing data governance to unlock the potential of your data.

by Tim Heaton

Data Governance is no longer just about controlling data. It is about making data trustworthy enough for people, analytics, applications—and artificial intelligence—to use with confidence.

The Guide to Data Governance for Banking Professionals is a practical, banking-focused guide to building a Data Governance program that actually works.

Rather than treating governance as a collection of policies, committees, and catalog entries, Tim Heaton presents it as an operating discipline built around accountability, business meaning, data quality, lineage, security, access, regulatory evidence, and measurable results.

This expanded edition also addresses the realities of the AI how to prepare data for AI, govern AI consumption, validate AI-generated financial answers, preserve source-to-answer traceability, and use AI itself to turn the book's guidance into implementation plans, assessments, RACIs, checklists, and operating procedures.

Inside, readers will learn how

establish Data Owners, Data Stewards, and decision rights;

identify and prioritize critical data;

define authoritative sources and business meaning;

measure data quality and document lineage;

certify trusted data products;

govern analytics and AI access;

create audit-ready evidence;

implement and scale a practical Data Governance program.

The book concludes with a definitive Data Governance Implementation Playbook that turns the concepts into a clear sequence of actions—from establishing executive sponsorship through governing AI-ready data and continuously improving the program.

Whether you are building Data Governance from the ground up or modernizing an existing program for AI, the objective is the

Build once. Govern once. Trust everywhere.

217 pages, Hardcover

Published September 12, 2023