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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

Visualization extension examples for cross-selling

As part of our balanced scorecard in Chapter 9, Balanced Scorecard, we purposed giving sales representatives a tool that allowed them to analyze cross-selling opportunities. We've decided to deliver this tool using Qlik Sense for the following two reasons:

  • Nontechnical users, such as sales representatives, can create their own analysis
  • Developers can create more powerful visualization extensions to help sales representatives discover cross-selling opportunities

The following three Qlik Sense data visualizations were created by Ralf Becher (http://irregular-bi.tumblr.com/). The first chart is a table that contains a numerical interpretation of how different items or item sets are related. It was created using a data mining algorithm called Apriori (https://en.wikipedia.org/wiki/Apriori_algorithm), which is used to discover associations between items or item sets and is a popular method to perform basket analysis.

Although we can use native...

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