Book Image

Data Governance Handbook

By : Wendy S. Batchelder
Book Image

Data Governance Handbook

By: Wendy S. Batchelder

Overview of this book

2.5 quintillion bytes! This is the amount of data being generated every single day across the globe. As this number continues to grow, understanding and managing data becomes more complex. Data professionals know that it’s their responsibility to navigate this complexity and ensure effective governance, empowering businesses with the right data, at the right time, and with the right controls. If you are a data professional, this book will equip you with valuable guidance to conquer data governance complexities with ease. Written by a three-time chief data officer in global Fortune 500 companies, the Data Governance Handbook is an exhaustive guide to understanding data governance, its key components, and how to successfully position solutions in a way that translates into tangible business outcomes. By the end, you’ll be able to successfully pitch and gain support for your data governance program, demonstrating tangible outcomes that resonate with key stakeholders.
Table of Contents (24 chapters)
1
Part 1:Designing the Path to Trusted Data
7
Part 2:Data Governance Capabilities Deep Dive
14
Part 3:Building Trust through Value-Based Delivery
20
Part 4:Case Study

Low adoption is costly

Imagine this: your company spent millions of dollars deploying a wonderfully crafted, embedded data governance-by-design program, only to move on to the next project, and the benefits realized at go-live evaporate.

This happens. Every. Single. Day.

Everyone has good intentions. We build a great business case. We deliver the program. We drive adoption with initial teams, groups, or systems. But over time, that adoption atrophies. Let’s dig into a specific example that is easy to understand.

Amazing visualization

Imagine a scenario where your company, eager to realize the full power of your data, invests in best-in-class data visualization technology. After months of vendor selection, procurement, development, and deployment, the solution sits unused, with minimal visualizations being built, in favor of using our old favorite: spreadsheets.

In this scenario, the data team that advocated for and gained approval to implement the solution loses...