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Data Analytics Made Easy

You're reading from   Data Analytics Made Easy Analyze and present data to make informed decisions without writing any code

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Product type Paperback
Published in Aug 2021
Publisher Packt
ISBN-13 9781801074155
Length 406 pages
Edition 1st Edition
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Author (1):
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Andrea De Mauro Andrea De Mauro
Author Profile Icon Andrea De Mauro
Andrea De Mauro
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Table of Contents (14) Chapters Close

Preface 1. What is Data Analytics? 2. Getting Started with KNIME FREE CHAPTER 3. Transforming Data 4. What is Machine Learning? 5. Applying Machine Learning at Work 6. Getting Started with Power BI 7. Visualizing Data Effectively 8. Telling Stories with Data 9. Extending Your Toolbox 10. And now?
11. Useful Resources 12. Other Books You May Enjoy
13. Index

From data to business value

Data is nothing without its chance to be transformed into value. However sophisticated and accurate our model is, whatever profound insights we manage to unveil, data will make a difference only when it finally drives some action that positively impacts the business. The bad news is that driving actions might be quite complex and often more difficult than building a powerful data capability. The good news is that we have not just one but multiple ways to impact the business with analytics: we call them data-to-value paths. It's important to have them clear in our mind before we start working on data, so that we can maximize the business relevance of what we build right from the start. The three most frequent data-to-value paths you can encounter in business are:

  • Ad hoc analytics: In this case, you use data to influence a specific decision or to shed light on a unique opportunity or threat. This is the most time-consuming path to follow, as it...
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