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

How to Build a Coalition of Advocates

Arguably the most important part of launching a data governance program that drives impact is gaining support for your program. Given the velocity of data creation worldwide, the impact on company operations (positive when properly managed, not so positive when managed poorly), the degree of risk of data misuse and mismanagement carry, and the opportunity that comes with value creation, it is no surprise that data is a hot topic with staying power. In every company I have worked for, customers, employees, and peers across all industries are asking a very common and consistent question:

How can we build trust in our data?

The concept of trust is complex. You cannot buy it. You cannot snap your fingers and create it. It takes time to create and seconds to lose. What is interesting about applying the concept of trust to data is that users of data often presume the data is wrong and that they can’t trust it, especially when the data is...