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 profiling


In the marketing data model, we use each customer's NAICS code, employee size, and average revenue to create profiles. We want to look for profitable customers, so we also cross this data with the the gross profit each customer generates. We use a parallel coordinates chart and a Sankey chart to visualize customer profiles.

Note

As a market analyst, I want to discover demographic characteristics of our current customers so that I can search for potential customers among companies with similar attributes.

Parallel coordinates

In Marketing_Perspective_Sandbox.qvw, we are going to make the following parallel coordinates chart. This chart helps us analyze multivariate data in a two-dimensional space. We often use metrics that result in numbers to create it and we can find such example at http://poverconsulting.com/2013/10/10/kpi-parallel-coordinates-chart/.

However, in the following chart, we use descriptive values for NAICS, Size, and Average Revenue that we can see in detail...