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 structure the team for results (and why)

While we are focused on the data governance and data management portions of the team in this book, I do want to spend just a moment on the analytics side of the team structure. Candidly, I believe there are an infinite number of ways to structure the analytics side of the house, as you can read further in John K. Thompson’s book, Building Analytics Teams (an excellent book for anyone looking to drive excellence in analytics). There are a few ways to optimize analytics that I have leveraged in my own teams. In all cases, it is based on the business outcome I have been aiming to optimize for.

First, if you are internally focused, aimed at driving operational excellence, aligning top-of-the-house metrics, or simply supporting internal operational functions, a simple single team may be your best bet. I have consolidated analytics teams under a single analytics leader in cases where we are optimizing for the company’s internal...