Power BI report design tools offer multiple advanced functions to aid with data analysis. In fact, one need not be an expert to use these tools. Power BI report design tools help one create reports that are easily understandable by the entire team and clients. Here are three tips that you should consider to make data more user-friendly in the long run.
Simplicity is Key
While looking for the right way to deliver the message of each report, one can get lost among the multiple increasing levels of visualizations in the Power BI gallery. Some of these visualization tools are far too complex, and much of the information can get lost in translation. The relation between data and elements used needs to make sense. Keep the diagrams and visual elements simple, clear, and easy to understand rather than complicate too much information within one visual.
Follow the general rules of creating infographics such as:
Note that generally, people read from top left to bottom right, so put the information in that order.
People prefer vertical bars for any general display.
Horizontal bars are best suited for displaying data rankings.
Lines are used to demarcating time series while trying to compare multiple entries.
Pay Attention to Context
One of the most sought after features in an infographic is the ability to use cross-filtering tools. This feature helps to compare and contrast the two different data that are correlated with each other. This visual aid helps in narrowing down the sight of focus each time. Not only does this feature help to filter out appropriate data, but it aids in connecting data to each other, showing the stream of connections and how everything correlates.
When ‘No fIlter’ mode is turned on, it showcases the data as is without taking into consideration other correlating elements such as user behavior, etc.
When the ‘highlight’ mode is toggled on, only the filtered value is displayed in terms of the context of the highlighted term.
On the other hand, using the ‘filter’ tool, the actual value of the filtered material is displayed. All corresponding data correlating to the filtered element’s value can be seen as a chain of events.
Slice & Dice
The one big concept of using Power BI report design tools is the plethora of filtering possibilities that are available to you. The idea of dividing each sector of these data and analyzing them individually is by far the most interesting part of the report tool and study process.
Slicers are in-canvas filters that can be opened and closed based on checking multiple or single selection checkboxes or dropdowns. These filters work on some particular pages and not on others, which makes it a limiting feature. You most likely lose context of the data when you toggle to a different page. However, when cross-filtering is checked on, they can easily give perspective by adding the value of all additional information in the loop, making the slice and dice technique of Power BI report design highly important.