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QlikView: Advanced Data Visualization

You're reading from   QlikView: Advanced Data Visualization Discover deeper insights with Qlikview by building your own rich analytical applications from scratch

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Product type Course
Published in Dec 2018
Publisher Packt
ISBN-13 9781789955996
Length 786 pages
Edition 1st Edition
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Authors (4):
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Barry Harmsen Barry Harmsen
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Barry Harmsen
Miguel  Angel Garcia Miguel Angel Garcia
Author Profile Icon Miguel Angel Garcia
Miguel Angel Garcia
Stephen Redmond Stephen Redmond
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Stephen Redmond
Karl Pover Karl Pover
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Karl Pover
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Table of Contents (25) Chapters Close

QlikView: Advanced Data Visualization
Contributors
Preface
1. Performance Tuning and Scalability FREE CHAPTER 2. QlikView Data Modeling 3. Best Practices for Loading Data 4. Advanced Expressions 5. Advanced Scripting 6. What's New in QlikView 12? 7. Styling Up 8. Building Dashboards 9. Advanced Data Transformation 10. Security 11. Data Visualization Strategy 12. Sales Perspective 13. Financial Perspective 14. Marketing Perspective 15. Working Capital Perspective 16. Operations Perspective 17. Human Resources 18. Fact Sheets 19. Balanced Scorecard 20. Troubleshooting Analysis 21. Mastering Qlik Sense Data Visualization Index

Visualization extension examples for cross-selling


As part of our balanced scorecard in Chapter 19, 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 QlikView...

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