Book Image

QlikView: Advanced Data Visualization

By : Miguel Angel Garcia, Barry Harmsen, Stephen Redmond, Karl Pover
Book Image

QlikView: Advanced Data Visualization

By: Miguel Angel Garcia, Barry Harmsen, Stephen Redmond, Karl Pover

Overview of this book

QlikView is one of the most flexible and powerful business intelligence platforms around, and if you want to transform data into insights, it is one of the best options you have at hand. Use this Learning Path, to explore the many features of QlikView to realize the potential of your data and present it as impactful and engaging visualizations. Each chapter in this Learning Path starts with an understanding of a business requirement and its associated data model and then helps you create insightful analysis and data visualizations around it. You will look at problems that you might encounter while visualizing complex data insights using QlikView, and learn how to troubleshoot these and other not-so-common errors. This Learning Path contains real-world examples from a variety of business domains, such as sales, finance, marketing, and human resources. With all the knowledge that you gain from this Learning Path, you will have all the experience you need to implement your next QlikView project like a pro. This Learning Path includes content from the following Packt products: • QlikView for Developers by Miguel Ángel García, Barry Harmsen • Mastering QlikView by Stephen Redmond • Mastering QlikView Data Visualization by Karl Pover
Table of Contents (25 chapters)
QlikView: Advanced Data Visualization
Contributors
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,...