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

This chapter provided a comprehensive overview of data architecture within the context of data governance. We explored the critical role a well-defined data architecture plays in ensuring data consistency, accessibility, and reliability – all key pillars of effective data governance. We examined various architectural considerations, including data organization models, data storage solutions, and data integration strategies. You should now have a good understanding of the following areas:

  1. The importance of data architecture, including why it is required for building successful data solutions
  2. How to design a data architecture function
  3. Specific needs when it comes to implementation
  4. How to design a data architecture solution

Understanding these elements and their alignment with your organization’s specific needs is crucial for establishing a robust data foundation. A well-designed data architecture fosters data quality, simplifies data...