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 visualizations and analysis if we use extensions. The cycle plot is an excellent example of a useful visualization that is not available as a native QlikView object. In the next chapter, let's review the data model, user stories, analytical methods and visualization techniques for the financial perspective.