This is part of the VBX Geo Mapping Capabilities blog series. One of the frequently requested features for spatial analysis in SAP Lumira Designer is the capability to create drill down Geo Maps. In the earlier blog, we talked about how to Create Custom Maps in SAP...
Creating Histogram in SAP Lumira Designer Using VBX
Histogram is an effective way to display the frequency distribution of measures across a continuous data set. They offer an intuitive way to analyze large amounts of data. While a Histogram is used to plot the frequency of occurrence of data across a continuous data...
Custom Region Maps In SAP Lumira Designer
This is part of the VBX Geo Mapping Capabilities blog series. Maps not only look visually appealing but also help you enhance the effectiveness and usability of the dashboard when dealing with geo spatial data. VBX Maps offer robust mapping capabilities with the...
VBX Advanced Table for SAP Lumira Designer
In the earlier blog, we looked at displaying images in a Table along with other unique features. Now let’s look at some of the new features available as part of VBX Advance Table, available as part of VBX 2.0 release. Following are the list of new features available...
Top 7 New Enhancements in VBX Extensions 2.2 for SAP Lumira Designer
Lumel recently came out with the latest release of VBX for SAP Lumira Designer - VBX 2.2. Here is a quick summary of the latest set of enhancements offered by VBX 2.2. We have covered some of the most sought after enhancements by customers. 1. New Charting...
SAP Lumira Designer – Displaying Actual and Percentage Values in Data Labels
This is part of the Tooltip and Data Label Customization blog series. In the earlier blog, we looked at tooltip customization using the new tooltip editor. Now let’s look at customizing the data labels using the Data Label Editor Pane. One of the most common request...
Consolidating Data Sources to Optimize Dashboard Performance in SAP Lumira Designer – Part 1
One of the most effective ways of improving your SAP Lumira Designer application’s performance is by limiting the number of data sources. This can be achieved by reusing data sources across multiple components, this way multiple charts can reuse the same data source...