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Power BI benefits corporations as it allows them to excel at hybrid deployment, data modeling, and self-service data preparation. Originally called Project Crescent, this business intelligence (BI) tool has established itself as one of the popular BI platforms. This post will overview the advanced data visualization techniques in Power BI. 

Understanding Data Visualization 

Data visualization describes trends and stories by turning structured and unstructured data into flexible, visual dashboards. They precisely explain fluctuations across standard and user-defined metrics concerning time, progress rate, and resource usage. For example, a company might employ data visualization consulting services to capture sales statistics, brand popularity, or advertisement effectiveness. 

Visualized reports highlighting accurate trends and depicting differences between gathered observations are crucial to ensuring clarity in business correspondence. Therefore, enterprises study and invest in reliable BI programs like Microsoft Power BI for data visualization, reporting, and storytelling. 

Cloud-powered visualization platforms must support extensive customization freedoms for innovative application programming interfaces (APIs). Unsurprisingly, Power BI allows for API-assisted interactive report creation. Furthermore, organizations can accelerate reporting, meetings, collaborations, and decision-making by utilizing automation-friendly data visualization tools. 

Advanced Data Visualization Techniques in Power BI 

1| Area Charts – Basic or Stacked 

Power BI’s basic area chart comprises a line chart where you observe the colored area between the axis and the line. Area charts accentuate how metrics change over time, so business intelligence consulting teams use them to describe trends in MS Power BI. 

Consider data on profit variations. You can represent it via area charts to discuss the story behind the total profit. Meanwhile, a stacked area chart indicates the cumulative sum of distinct data series. Each series’ area chart will stack on top of another. This approach helps review multiple data series and trends with intuitive visual reporting. 

2| Combo Charts 

Managers should showcase multiple measurement methods summarizing distinct value ranges and correlations on a unified canvas. Power BI provides them with a combo chart for data visualization featuring at-a-glance data views. Remarkably, a combo chart can include two Y-axes, each demonstrating a separate measurement corresponding to each X-axis value. You can toggle the secondary Y axis on or off.  

Consider combo chart transformation options for column charts. A data visualization professional might use line and stacked columns or line and clustered columns for combo charts in Power BI. 

3| Decomposition Tree 

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. 

  1. 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. 

  1. 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. 

  1. 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. 

  1. 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. 

MS Power BI will continue to rule the business intelligence, data visualization, storytelling, and reporting landscape. Remember how machine learning (ML) models and generative AI will facilitate more user-friendly, easy-to-learn learning experiences for new adopters. 

Industry experts also point to the emergence of analytics-led business development initiatives worldwide. Therefore, the demand for visualized reporting skills concerning Power BI will only grow. 

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