2. Provide users examples of other analytical applications for similar business scenarios
Maybe start with examples from other divisions or departments, or utilize application templates. Either way, seeing how others use visual analytics will help your users see the potential of how they can use them in their daily life. Then draw up wireframes or prototypes, and walk through them as if they are using them in real life. Ask questions to follow how they are thinking about what they are seeing. Refine the design to better follow their thinking and decision making process.
3. Create the data model to fit the requirements
NOW you can start focusing on data. Map out what is needed to fulfill the requirements, assessing where there are gaps or differences between data sources for key fields. Identify where the business may need to shore up their internal processes or ERP systems. But, most importantly, create the data model to fit the business solution need.
As technical, analytical professionals our nature is to believe we can save time and money by diving immediately into the data because we know that data is the key to good analytics. Or is it?
For more information on how to maximize the value of your Qlik solutions, please visit qlik.com/consulting.