Between the Spreadsheets
eBook - ePub

Between the Spreadsheets

Classifying and Fixing Dirty Data

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Between the Spreadsheets

Classifying and Fixing Dirty Data

About this book

'Clear, concise, engaging and entertaining. Highly recommended for anyone involved with data in any capacity.' Information Professional

Dirty data is a problem that costs businesses thousands, if not millions, every year. And with the increasing use of AI and Generative AI, it's only getting worse. In organisations large and small across the globe you will hear talk of data quality issues. What you will rarely hear about is the consequences or best practices on how to fix it.

Fully revised and updated throughout, this new edition of Between the Spreadsheets draws on classification expert Susan Walsh's years of hands-on experience in data to present a fool-proof method for cleaning and classifying your data. The book covers everything from the very basics of data classification to normalisation and taxonomies, and presents the author's proven COAT framework, helping ensure an organisation's data is Consistent, Organised, Accurate and Trustworthy. A series of data horror stories outlines what can go wrong in managing data, and if it does, how it can be fixed as well as new advice on using GenAI and why it is so important to have clean data before using it.

After reading this book, regardless of your level of experience, not only will you be able to work with your data more efficiently, but you will also understand the impact the work you do with it has, and how it affects the rest of the organisation. Written in an engaging and highly practical manner, Between the Spreadsheets, 2nd Edition gives readers of all levels a deep understanding of the dangers of dirty data and the confidence and skills to work more efficiently and effectively with it.

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Yes, you can access Between the Spreadsheets by Susan Walsh in PDF and/or ePUB format, as well as other popular books in Business & Information Management. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Cover
  2. Title Page
  3. Copyright
  4. Dedication
  5. Contents
  6. Figures and Tables
  7. About the Author
  8. Acknowledgements
  9. Abbreviations
  10. Introduction
  11. 1 The Dangers of Dirty Data
  12. 2 Supplier Normalisation
  13. 3 Taxonomies
  14. 4 Spend Data Classification
  15. 5 Basic Data Cleansing
  16. 6 Before and After: Real-Life Data Cleaning Case Studies
  17. 7 The Myth Exposed: Data Cleaning and GenAI
  18. 8 Other Methodologies
  19. 9 The Dirty Data Maturity Model
  20. 10 Data Horror Stories
  21. Summary
  22. References
  23. Index