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

The value of data operations

The value of data operations lies in its ability to streamline and optimize the way data is collected, processed, and utilized within an organization. In a word: simplification. As with data architecture (Chapter 9), the more simplified and streamlined operations can be, the less opportunity there is for breakdowns, errors, and business impact. Out of principle, when data operations are designed from a simplified perspective, the value is clearer to understand, and the time to resolve issues tends to be shorter. Less time is spent trying to troubleshoot the root cause (fewer places for issues to occur) and blast radius (impact of issues).

When evaluating the value of comprehensive and high-functioning data operations, there are a number of value-adds, but these are the key areas I recommend highlighting for your data operations function (whether building one or simply telling the value story). Here are some key aspects of its value:

  1. Improved...