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


Our QlikView sales perspective is a great place to start to use more advanced data visualization and analysis techniques. Sales departments traditionally have both the resources and the data available to continue to improve their QlikView applications.

Apart from the sales data model that we reviewed, we should continue to include additional data. Adding cross-functional data from finance, marketing, and operations gives sales representatives the information that they need to succeed. We can also add external data sources, such as census data or any other government data. When we add this additional data, we should keep in mind the cleaning and standardization tips that we learned in this chapter.

Like customer stratification and customer churn, we can often create minimally viable solutions using basic QlikView. However, we can develop a better solution by understanding and applying more advanced techniques like Pareto analysis and statistical distributions.

We can also add more powerful...