Throughout this book, we have shared the driving forces in the creation of Qlik Sense and key capabilities to aid in helping organizations make better business decisions. This chapter is the first of four that will apply Qlik Sense to the challenges of analyzing sales performance within your organization. This example and many others are available for you to explore live at http://sense-demo.qlik.com. Please bookmark this link as additional demonstrations and examples are constantly being added and updated. Now, let's turn our attention to the following challenge of sales analysis and how Qlik Sense addresses this common business challenge.
In this chapter, we will cover the following topics:
- Common sales analysis problems
- The unique way Qlik Sense addresses these problems
- How the Sales Discovery application was built
Analyzing sales information can be a difficult process for any organization, and is critical to meeting sales expectations and understanding customer demand signals. What makes sales analysis so difficult is that many perspectives can be taken on the enormous amount of information that is captured during the sales process.
Some key questions include:
- Who are our top customers?
- Who are our most productive sales representatives?
- How are our high margin products selling and to whom?
The key thing here is that during the analysis process, one answered question always leads to further questions depending on the results; in other words, the analysis process's diagnostics. These paths to discovery cannot be precalculated or anticipated. With this in mind, let's take a look at how the Sales Discovery application seeks to meet these requirements.