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

Delivering Trusted Results with Outcomes That Matter

As the implementation of data governance occurs, the chief data and analytics officer and their leadership team must keep all messaging on delivering trusted results that are framed in business outcomes. This mindset requires CDAOs and their teams to think beyond “data metrics” into outcomes that matter to the business. In this chapter, you will learn how to ensure consistency in what was promised to stakeholders versus what was actually delivered, how to explain variances in expected delivery versus real results, and why that is trust building. Last, you will learn how to message back to stakeholders powerfully during delivery for impact.

As we dig in, I want to reframe much of what we have covered in this book to bring us to a final view, and that is to pull together a standard end-to-end data governance approach. As we have covered over the last 15 chapters, you will have to customize this model to meet your individual...