Search icon CANCEL
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
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

Arrow left icon
Product type Course
Published in Dec 2018
Publisher Packt
ISBN-13 9781789955996
Length 786 pages
Edition 1st Edition
Arrow right icon
Authors (4):
Arrow left icon
Barry Harmsen Barry Harmsen
Author Profile Icon Barry Harmsen
Barry Harmsen
Miguel  Angel Garcia Miguel Angel Garcia
Author Profile Icon Miguel Angel Garcia
Miguel Angel Garcia
Stephen Redmond Stephen Redmond
Author Profile Icon Stephen Redmond
Stephen Redmond
Karl Pover Karl Pover
Author Profile Icon Karl Pover
Karl Pover
Arrow right icon
View More author details
Toc

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...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at €18.99/month. Cancel anytime