Book Image

Mastering QlikView Data Visualization

By : Karl Pover
Book Image

Mastering QlikView Data Visualization

By: Karl Pover

Overview of this book

Just because you know how to swing a hammer doesn't mean you know how to build a house. Now that you've learned how to use QlikView, it's time to learn how to develop meaningful QlikView applications that deliver what your business users need. You will explore the requirements and the data from several business departments in order to deliver the most amazing analysis and data visualizations. In doing so, you will practice using advanced QlikView functions, chart object property options, and extensions to solve real-world challenges.
Table of Contents (18 chapters)
Mastering QlikView Data Visualization
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
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 QlikView...