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

Alignment and agreement

The following steps speak to the alignment and agreement portion of the data management maturity assessment. The execution of the assessment itself is a challenge at times, but the hard work comes in alignment. It’s critical that you gain the support of your stakeholders to ensure that they will buy into the results, support the implementation plan, and partner with you on your data strategy.

[#6] Communicate the results

Once you have the results of your data maturity assessment, you will need to decide how you want to communicate your results. You have options, and there are pros and cons to how you execute this step. You can make the decision on how to communicate these results yourself, as CDAO, or you could employ your enterprise data committee to make this decision collectively. Either can work in your favor equally (I have seen both work well in different companies/industries).

Communicating disaggregated results

Your first option is...