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The Unlikely Wedlock Between Data Science and Entrepreneurship Read chapter Read first chapter

2023 | OriginalPaper | Chapter

3. Data Governance

Authors : Indika Kumara, A. S. M. Kayes, Paul Mundt, Ralf Schneider

Published in: Data Science for Entrepreneurship

Publisher: Springer International Publishing

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Abstract

Data-intensive products and services aim to turn big data to a value or strategic asset for the organizations. However, the inherent risk and cost of storing and managing a massive amount of data undermine the value creation from such products and services. Consequently, organizations need to adopt an appropriate data governance program to establish the necessary policies and structures in order to strike a balance between value creation and risk and cost. This chapter explores the data governance in detail, focusing on data governance principles, decision domains, and organizational structures. We discuss the data governance challenges, opportunities, and practices for big data and Internet of Things (IoT) domains. We also present two industrial big data applications/products whose data needs to be governed.

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Footnotes
1
7 https://​sodalite.​eu/​: SOftware Defined AppLication Infrastructures managemenT and Engineering.
 
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Metadata
Title
Data Governance
Authors
Indika Kumara
A. S. M. Kayes
Paul Mundt
Ralf Schneider
Copyright Year
2023
Book
Data Science for Entrepreneurship

Print ISBN: 978-3-031-19553-2

Electronic ISBN: 978-3-031-19554-9

Copyright Year: 2023

DOI
https://doi.org/10.1007/978-3-031-19554-9_3

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