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 design for iterative delivery with impact

Next, you had to deliver on your plan. You set up a regular, monthly cadence with the Enterprise Data Committee to provide ongoing oversight of the program’s success, to ensure transparency and ongoing sponsorship of the work. You divided the work into three buckets:

  1. Immediate oversight of the liquidity report transformation
  2. Long-range transformation for all in-scope data and reporting
  3. Long-range implementation of data management and analytics strategy

As you progressed through the design of this plan, each of the three buckets received time at the Enterprise Data Committee for an update. You presented a mix of short-term updates and long-range updates. For example, one area you focused on consistently was data quality.

In the first meeting, you presented the state of data quality: no framework, no leader, and no tools for measuring data quality existed. You leveraged the consultants to gather the state...