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

Defining Primary Data Management

Primary Data Management is a core data governance capability, which brings together a core set of processes and technologies that are used to create a single unified view of specific types of data. This capability helps ensure that these specific and critical types of data have, above all else, consistency, accuracy, and accessibility enterprise-wide. Examples of Primary Data include: customer, product, vendor, and contact data. Because these types of data (customer, product, etc.) are often created in various departments across the organization, they require a special handling to unify and provision, so that the entire organization can have the same view of the data. Without Primary Data Management, companies struggle with consistency, accuracy and quality overall, which leads to poor customer experiences.

Example – Customer Experience

Imagine you are a customer of a large financial institution, and you open up a checking account at a...