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

Customer fact sheet consolidated data model


Fact sheet data models combine facts from various perspectives. The customer fact sheet data model combines information from our sales, marketing, working capital, and operations perspectives. However, we don't necessarily include all the facts that are measured in each perspective. In this example, we store the following events in our data model's fact table:

  • Sales invoices

  • Sales credit memos

  • Sales budget

  • Sales opportunities

  • Sales quotes

  • Sales activities like customer meetings and service calls

  • Month-end A/R invoice balances

  • Customer selling cycle

There are two principal ways to combine all of these events into one data model in QlikView. The first option is to combine all these events into one fact table, while the second option is to create a link table between various fact tables. The link table contains existing key combinations of every fact table, and serves as a bridge between the separate fact tables and a common set of dimensions.

On one hand,...