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

Optimizing for outcomes

As you set out to design an organizational model and operational model for how your company will deliver data management and analytics outcomes that matter, you must begin with the end in mind. You are not building a single department; you are building a data-empowered enterprise. Long before you begin to design an organizational model, you must define what capabilities you need to deliver. The capabilities are a major outcome of the conversations you held when building your coalition of advocates out of the process outlined in Chapter 2, How to Build a Coalition of Advocates.

Use case

In one of my previous companies, there was a large and critical focus on the quality of data used in reporting. As a result, much of our data strategy was anchored on one major capability: rearchitecting the data infrastructure to drive a streamlined and curated data ecosystem that could produce high-quality reports with a high degree of reusability of common data elements...