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Data Science for Decision Makers

You're reading from   Data Science for Decision Makers Enhance your leadership skills with data science and AI expertise

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Product type Paperback
Published in Jul 2024
Publisher Packt
ISBN-13 9781837637294
Length 270 pages
Edition 1st Edition
Languages
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Author (1):
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Jon Howells Jon Howells
Author Profile Icon Jon Howells
Jon Howells
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Table of Contents (20) Chapters Close

Preface 1. Part 1: Understanding Data Science and Its Foundations
2. Chapter 1: Introducing Data Science FREE CHAPTER 3. Chapter 2: Characterizing and Collecting Data 4. Chapter 3: Exploratory Data Analysis 5. Chapter 4: The Significance of Significance 6. Chapter 5: Understanding Regression 7. Part 2: Machine Learning – Concepts, Applications, and Pitfalls
8. Chapter 6: Introducing Machine Learning 9. Chapter 7: Supervised Machine Learning 10. Chapter 8: Unsupervised Machine Learning 11. Chapter 9: Interpreting and Evaluating Machine Learning Models 12. Chapter 10: Common Pitfalls in Machine Learning 13. Part 3: Leading Successful Data Science Projects and Teams
14. Chapter 11: The Structure of a Data Science Project 15. Chapter 12: The Data Science Team 16. Chapter 13: Managing the Data Science Team 17. Chapter 14: Continuing Your Journey as a Data Science Leader 18. Index 19. Other Books You May Enjoy

First-, second-, and third-party data

Within any mid to large-sized organization, you can find a vast swathe of different types of data that serve unique purposes and can provide valuable insights when harnessed effectively. Even if your organization does not have easily accessible or useful internal data to suit the business use cases you have identified, it is possible to look outside your organization toward external data sources. This is where the concepts of first-, second-, and third-party data are useful to understand.

The following diagram represents how your data (darker) interacts with data from external organizations (lighter) for the definitions of first-, second-, and third-party data:

  • First-party data is data that’s internal to your organization, such as customer data or employee data.
  • Second-party data is data that’s shared as part of a data-sharing partnership or agreement with another organization.
  • Third-party data is data that’...
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