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

Building an optimal data architecture capability

In the previous sections of this chapter, we went through what data architecture is, the value of data architecture, and the two primary phases: as-is and to-be. In this section, I will step you through how to build out your optimal capability for success. The key to them: be purposeful and intentional in how you define your architecture.

Establishing design principles

First and foremost, you should define a set of data architecture design principles. Design principles should be established to align all participants in the process to focus efforts and align the design to a common approach. Ideally, design principles will do the following:

  • Add simplicity to chaos
  • Drive a simplified mindset
  • Focus the discussion
  • Ensure consistency in design

Design principles should serve as the backbone of the process of designing data architecture. Aligning all participants to a core, foundational set of design principles...