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

Working capital breakdown


We complement the previous section's working capital analysis with a closer look at the elements that make up each measure. In the case of DSI, we analyze Average Inventory Value and Annual Cost of Goods Sold (COGS). This auxiliary analysis helps us understand whether an increasing DSI is the result of rising inventory levels or decreasing sales. It also helps us detect which product is not rotating frequently enough.

Let's combine the related metrics and have them share the same dimension axis, as in the following visualization:

Exercise 15.5

  1. Let's create three separate combo charts. We represent the current period with bars and the last period with circles. In each chart, we set the orientation to be horizontal, and move the legend to the top. When we use Ctrl + Shift to place the legend on top, we wait until its red outline covers the entire top section so that the labels appear in a row:

    Title

    DSI

    Dimensions

    Labels

    Value

    Item

    Item

    Expressions...