Well-designed applications always present the data in an ordered and logical manner. They usually follow a pattern that lets the user see the high-level KPIs first and then—as the situation demands it—presents a more detailed view of the data. A great reference in this regard is Qlik's DAR methodology, which divides the applications in three sections:

In the pursuit of a stunning dashboard, we should also focus on the distribution of the objects inside a particular sheet. The layout will depend on the type of analytical objects and the format of the filters that you choose to include. However, consistency and alignment should always prevail. Unlike other platforms, QlikView doesn't restrict the location of the objects to a rigid grid, so you can try countless distributions. Pick the one that best suits the information displayed:

For instance, the following application uses three main blocks—time filters (top), the general filter pane (left), and the analytical objects (right).

In contrast, the next dashboard changes the classic distribution and displays four blocks. From top to bottom: time filters, the general filter pane, the KPI belt, and the analytical objects.

As you can see, there is no need for lines or other elements to enclose these blocks. The appropriate usage of white space and the Gestalt principle of proximity will do the trick.

Also, when you are building a dashboard, think about it as a whole. While individual charts and tables can be efficient means to display information, when all the components of a sheet work together, insights and discoveries come naturally. Try to combine the analytical capabilities of the charts with the flexibility and detailed perspective of the tables. Remember that selecting an item in one graphic and seeing what happens in the rest of the objects is a valuable trait for business analysis.