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Mastering QlikView Data Visualization

You're reading from   Mastering QlikView Data Visualization Take your QlikView skills to the next level and master the art of creating visual data analysis for real business needs

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Product type Paperback
Published in Apr 2016
Publisher
ISBN-13 9781782173250
Length 294 pages
Edition 1st Edition
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Author (1):
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Karl Pover Karl Pover
Author Profile Icon Karl Pover
Karl Pover
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Table of Contents (13) Chapters Close

Preface 1. Data Visualization Strategy FREE CHAPTER 2. Sales Perspective 3. Financial Perspective 4. Marketing Perspective 5. Working Capital Perspective 6. Operations Perspective 7. Human Resources 8. Fact Sheets 9. Balanced Scorecard 10. Troubleshooting Analysis 11. Mastering Qlik Sense Data Visualization Index

Customer churn

Customer churn is a measure of the company's tendency to lose customers. Our user story speaks of the need to detect at-risk customers and prevent them from becoming a lost customer.

Note

As a sales representative, I want to see which customers I'm at risk of losing so that I can take action today to prevent their leaving.

Surely, there are many variables that we may use to predict customer churn. In this case we expect customers to consistently make a purchase every so many days, so we will use a variable called customer purchase frequency to detect those that we are at risk of losing.

We could calculate the average number of days between purchases and warn sales representatives when the number of days since a customer's last purchase exceeds that average.

However, a simple average may not always be an accurate measure of a customer's true purchasing behavior. If we assume that their purchase frequency is normally distributed then we use the t-test to determine...

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