Mastering QlikView Data Visualization

Key Features

• Explore how to create your own QlikView data laboratory and how to develop QlikView applications using agile project methods
• Implement advanced data visualization and analysis for common business requirements from the sales, finance, marketing, inventory, operations, and human resources departments
• Learn from real-life experience shared in this book that will give you the upper hand in your next QlikView project

Book Description

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.

What you will learn

• Apply advanced QlikView techniques such as set analysis and nested aggregation in order to deliver common business requirements
• Understand real business requirements for sales, finance, marketing, and human resources departments
• Discover when to apply more advanced data visualization such as frequency polygons, bullet graphs, and XmR charts
• Go beyond native QlikView and include geographical analysis, planning, and sentiment analysis in your QlikView application
• Troubleshoot common errors we discover at the moment we visualize data in QlikView
• Develop a plan to master Qlik Sense data visualization

About the Author

Karl Pover is the owner and principal consultant of Evolution Consulting, which provides QlikView consulting services throughout Mexico. Since 2006, he has been dedicated to providing QlikView presales, implementation, and training for more than 50 customers. He is the author of Learning QlikView Data Visualization, and he has also been a Qlik Luminary since 2014. You can follow Karl on Twitter (@karlpover) or on LinkedIn (https://mx.linkedin.com/in/karlpover). He also blogs at http://poverconsulting.com/.

Table of Contents

1. Data Visualization Strategy
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