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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

Anticipating preferences with classification

In this tutorial, you will step into the role of a marketing analyst working for a mid-sized national consumer bank, offering services such as accounts, personal loans, and mortgages to around 300,000 customers in the country. The bank is currently trying to launch a new type of low-cost savings account, providing essential services and a pre-paid card that can be fully managed online. The product manager of this new account is not very pleased with how things are going and invites you to join a review meeting. You can see he is tense as he presents the outcome of a pilot telemarketing campaign run to support the launch. As part of this pilot, 10,000 people were randomly selected among the full bank customer base and were phoned by an outbound call center. The outcome was apparently not so bad: 1,870 of the contacted customers (19% of the total) signed up for a new account. However, the calculation of the Return On Investment (ROI) pulled...

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