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

Data Quality

The quality of decisions is tightly linked to the quality of data that supports them. As a result, the quality of data impacts every facet of the organization. It’s an (appropriately) bold statement that is often under-appreciated. From day-to-day operations to long-term strategic direction, having high-quality, reliable, and trustworthy information is not a “nice to have;” it’s a must-have for any company. Having quality data is critical for the success of any company of any size. How you operationalize ensuring you have quality data in your organization should vary based on the size and complexity of your organization, but the need for data quality is static. It’s at the very core of running any business.

In the ever-evolving landscape of data-driven decision-making, there exists a profound truth that we, as data custodians and stewards, must humbly acknowledge: the quality of our data is the cornerstone upon which all our analytical...