Enterprises can use the decomposition tree, one of the advanced visualization techniques in Power BI, to describe data variations based on multiple dimensions. It helps automate data aggregation and insight exploration involving many dimensions regardless of inspection sequence. 

Power BI’s decomposition tree relies on artificial intelligence (AI) for data visualization. As a result, reporters can command it to estimate the next dimension to dig deeper and find relevant patterns that fit prescribed reporting criteria. 

Analysts and storytelling professionals can utilize decomposition trees as valuable tools for ad hoc exploration, which is vital to root cause analysis in problem-solving. 

4| Doughnut Charts 

A doughnut chart is better than a pie chart because it has a concentric blank gap to insert data legends or quantity labels. The sum of all described percentages must be 100%. This requirement helps business intelligence and data visualization professionals troubleshoot issues during Power BI reporting. 

The doughnut chart option is in the visualization pane, enabling quick chart conversion for bar charts. However, you must add only a few categories to prevent labeling and readability problems in print media, such as presentation handouts. 

A doughnut chart is appropriate for discussing a component in great detail but unsuitable for showing 50 or more percentages on one canvas. 

5| Key Influencers and Top Segments Chart 

Business intelligence programs must assist data storytelling enthusiasts in finding top contributors to a process outcome. Power BI has fulfilled this demand since 2019 through its first AI integration, known as key influencers. 

Leaders can find key influencers using the desktop version and online service when investigating reasons for sales, supply, and employee retention period dynamics. In other words, a key influencers and top segments chart facilitates priority determination for business improvement and budget re-allocation brainstorming sessions. 

The length of the arrows in the key influencers chart is proportional to each contributing factor’s significance. Although it is one of the advanced data visualization techniques, it does not support Direct Query, Azure analysis, or SharePoint embedding. Moreover, a data storyteller must invest more effort in learning the relationship between themes, key influencers, categorical analysis, top segments, visual interpretations, and continuous analysis. 

6| Power BI Maps – Basic, Azure, ArcGIS, Choropleth 

Superimposing customer base, repurchases, churn, and complaints datasets over a map helps devise region-specific relationship improvement strategies. Microsoft’s Power BI desktop and web services include many map integrations for geospatial data storytelling. 

1. A basic map supports categorical and quantitative data visualizations. 

2. An ArcGIS map combines the strengths of Power BI with the vast mapping customizations and demographic datasets in Esri’s ArcGIS ecosystem. For instance, Businesses use it to study customer segments based on median household income or regional population density variations. 

3. Furthermore, the “Azure Maps Power BI” visual examines a business’s location context. After all, it affects key influencers, sales, profitability, sustainability, and growth potential. 

4. A Choropleth is a shaded or color-filled map revealing changes in assigned variables based on distinct zones within a state, nation, continent, or user-defined mapping boundary. 

5. A shape map might use color-coding like a choropleth but does not include numerical or textual data descriptions.  

Conclusion 

In addition to the advanced visualization techniques mentioned above, Power BI empowers business analysts, data storytellers, and document designers to create ribbon charts or replace tables with intuitive data matrices. Likewise, you can utilize scatter, bubble, and dot plots to benefit from visual density depictions. They describe closely or loosely related data points.