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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
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
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Stephen Redmond
Karl Pover Karl Pover
Author Profile Icon Karl Pover
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

Summary


Our QlikView sales perspective is a great place to start to use more advanced data visualization and analysis techniques. Sales departments traditionally have both the resources and the data available to continue to improve their QlikView applications.

Apart from the sales data model that we reviewed, we should continue to include additional data. Adding cross-functional data from finance, marketing, and operations gives sales representatives the information that they need to succeed. We can also add external data sources, such as census data or any other government data. When we add this additional data, we should keep in mind the cleaning and standardization tips that we learned in this chapter.

Like customer stratification and customer churn, we can often create minimally viable solutions using basic QlikView. However, we can develop a better solution by understanding and applying more advanced techniques like Pareto analysis and statistical distributions.

We can also add more powerful...

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