What’s New with Analytics+: Advanced customizations, data-driven reference lines, and more new chart types 

Creating compelling, insightful dashboards in Power BI often comes down to how much control you have over the design and data presentation. That’s where Inforiver Analytics+ stands out — offering unmatched customization options that let you fine-tune every element of your visualizations.  

Step up your data storytelling with advanced legend configurations, data-driven analytics features, and new visual elements like cluster breakdown and arc gauge charts. We’ve also introduced a stepped layout in table mode for a cleaner, more intuitive display of hierarchical data. Plus, action dot–based conditional formatting now lets you extract insights at a glance. 

Explore the latest updates that make Inforiver Analytics+ the most versatile planning and analytics solution available in Power BI. 

1. Charts 

1.1. New chart types - Cluster breakdown waterfall, and Arc Gauge 

1.2. Feature enhancements – analytics and legend customizations 

2. Cards 

2.1. Pagination for KPI dashboards 

3. Tables 

3.1. Stepped layout 

3.2. Conditional formatting - action dots 

Have a look at our release notes for a comprehensive list of requirements, features, and bug fixes.     

1. Charts 

1.1. New chart types - Cluster breakdown waterfall, and Arc Gauge 

• Visualize positive and negative variances simultaneously at each point with the cluster breakdown waterfall.  
  

• Arc gauges are visually minimal and ideal for compact KPI dashboards. 

1.2. Feature enhancements – analytics and legend customizations 

• Size-based legend for bubble charts : Bubble charts are ideal for comparing variables like revenue or population based on the magnitude of the value. Analytics+ supports size-based legends, making it straightforward to associate the value with the size of the bubble. You can choose to display the legend as concentric circles or in a row. 
  
  Legend with concentric circles: 

• Legend support for color scales: Color scales enable users to scan the chart and quickly identify high and low values. For example, in a color-scaled bar chart, you can visualize the values and the trend in parallel. We have added legend support for color scales in the latest version, helping viewers correlate the color shades with the value range. 

• Analytics - data-driven reference lines and bands: Leverage the new "Field" option in analytics to use advanced storytelling tools like data-driven reference lines and bands. Plot reference lines and reference bands using input measures to visualize data over time, detect trends, and identify potential concerns. 
  
  To plot data-driven reference lines, choose "Field" from the Based on dropdown and select the measure from the Value dropdown. 

• Moving average for scatter plots: Moving average lines reveal the underlying patterns in scatter plots, especially when the original data is noisy or irregular. 

2. Cards 

2.1. Pagination for KPI dashboards 

When you have a large number of KPI categories in your trellis, it can be tedious to scroll through the entire dataset. If scrolling is not your first preference, you can use the new pagination option in Trellis settings to browse your dashboard. 

3. Tables 

3.1. Stepped layout 

Analytics+ inherently provides advanced support for hierarchical data. The new stepped layout groups the child categories under the parent rows and makes it easier for report viewers to identify parent-child relationships.  

Additionally, you can customize the sub-total row by adding the parent category as a prefix/suffix and enter a custom row header name in the Total text textbox. 

3.2. Conditional formatting - action dots 

Action dots help users quickly gauge the magnitude of the measure and spot deviations. Choose the Format by > Classification option to use action dots in your tables. 

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Inforiver and all our planning and analytics products continue to be updated to provide a diverse range of users with optimal performance. With continual improvements and innovations planned, we welcome your feedback.         

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