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

Conclusion

Data automation is a specific technique that is additive to the capabilities that are already deployed in your organization. There are several types of data automation that are available to you, and we have covered these. Typically, this capability is a great place for your data engineers and data analytics professionals to drive additional value to your organization. If traditional data governance capabilities are effective at getting from place A to B on a bike, adding data automation capabilities to existing data governance capabilities is like using a car to get from A to B. It will move you faster and with velocity. However, be careful. Moving faster isn’t always the best answer. You must be sure you are automating a strong process; otherwise, you are simply moving problems through your organization faster. As we covered previously, there are several options at your disposal, including using third-party enrichment, implementing additional tooling, such as RPA...