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Managing Data as a Product

You're reading from   Managing Data as a Product Design and build data-product-centered socio-technical architectures

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Product type Paperback
Published in Nov 2024
Publisher Packt
ISBN-13 9781835468531
Length 368 pages
Edition 1st Edition
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Author (1):
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Andrea Gioia Andrea Gioia
Author Profile Icon Andrea Gioia
Andrea Gioia
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Toc

Table of Contents (18) Chapters Close

Preface 1. Part 1: Data Products and the Power of Modular Architectures
2. Chapter 1: From Data as a Byproduct to Data as a Product FREE CHAPTER 3. Chapter 2: Data Products 4. Chapter 3: Data Product-Centered Architectures 5. Part 2: Managing the Data Product Lifecycle
6. Chapter 4: Identifying Data Products and Prioritizing Developments 7. Chapter 5: Designing and Implementing Data Products 8. Chapter 6: Operating Data Products in Production 9. Chapter 7: Automating Data Product Lifecycle Management 10. Part 3: Designing a Successful Data Product Strategy
11. Chapter 8: Moving through the Adoption Journey 12. Chapter 9: Team Topologies and Data Ownership at Scale 13. Chapter 10: Distributed Data Modeling 14. Chapter 11: Building an AI-Ready Information Architecture 15. Chapter 12: Bringing It All Together 16. Index 17. Other Books You May Enjoy

Summary

In this chapter, we saw how to successfully move through the different phases of the adoption journey of the data-as-a-product paradigm.

Firstly, we introduced Rogers’ theory on the diffusion of new ideas within an organization. Using this theory, we defined a journey for adopting the data-as-a-product paradigm consisting of four main phases: assessment, bootstrap, expand, and sustain.

Next, we have detailed each of these four phases, discussing their objectives, challenges, and the key operational and organizational activities required.

Lastly, we introduced the EDGE operating model and illustrated how to use it to craft an adaptive data strategy capable of evolving over time to meet the specific needs of each phase of the adoption journey.

In the next chapter, we will explore how to structure the key teams involved in adopting the new paradigm and manage their responsibilities and interactions effectively.

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