Dim Analysis
Dim Analysis is designed to provide users with a flexible way to explore data at multiple levels of granularity.
Dim Analysis allows to dynamically analyze relationships between different Dimensions. This is structured to support hierarchical data exploration, enabling users to drill down from broader activity-level insights to more detailed, dimension-specific views, by using filters like top/bottom counts and minimum instance thresholds.
Dim Analysis ensures efficient data visualization and focuses analysis on the most relevant and impactful data points.
Click on the ‘Analytics’ tab in ViVE’s Process Maps Interface to display the following sub-menu
Click ‘Dim Analysis' from the list to display the following screen
This is a ‘Forced Directory Tree’ graph, displaying all the Events in the Process Flow. Each of the bubbles represent the different process steps. The relative size of the bubbles are based on the configuration of the metrics chosen. (ex: Avg. Process Time, Total Re-work days, etc.)
Hover on any of the bubbles to view details of the configured metrics.
Click on the ‘Tabular View’ icon to the top right of the screen, to switch to the Tabular View.
Configuring Dim Analysis.
Selecting and configuring the Dimensions at different levels helps analysis of data to these levels of granularity. This is structured to support three levels of drill down and the data is plotted with the configured metrics, along with the applied filters like top/bottom counts.
Analysis can be done by choosing a combination of Dimensions and Measures to three levels of drill down.
Click on the ‘Configuration' tab to the right side of the interface to display the following screen.
This is the interface to configure:
The three levels of Dimensions
Metrics for plotting
Filters (top/bottom)
Configuring the three levels of Drill Down.
Click on the ‘First Level’ Drop down to display the following list
Click on any of the Dimensions in the list to choose it as the first level Dimension.
Second Level.
Click on the ‘Second Level’ Drop down to display the following list
Click on any of the Dimensions in the list to choose it as the second level Dimension.
Third Level.
Click on the ‘Third level’ Drop down to display the following list
Click on any of the Dimensions in the list to choose it as the third level Dimension.
Note:
The third level Drop Down will be active only after choosing the second level Dimension.
Configuring the top level is mandatory and configuring the next two levels is optional.
Once all the three levels are configured click on the ‘Generate' button to generate the bubble graph with the chosen configuration of metrics.
Example.
If the First level configuration is ‘Process Activity’, the second level configuration is ‘Agent Name’ and the third level configuration is ‘Customer name’ , the graph is plotted with all the process levels, with the top level being ‘Process Activities’. The second level drill down will be based on the different ‘Agents’ within each of the individual ‘Process Activities’. The third level drill down will be based on the different ‘Customers’ mapped to each of these ‘Agents’ within these ‘Process Activities’.
Viewing the Drill Downs.
First Level
The default Plot is of the first level configuration as shown below. ( with the applied filters along with the chosen configuration )
Second level Drill Down
Click on any of the Bubbles in the default graph to display the second level drill down along with their metrics.
The pink colored bubbles represent the second level drill down. ( In this example, the different ‘Agents’ in each of the process steps. )
Third Level Drill Down.
Click on any of the second level data points (pink bubbles) to drill down to the next level.
The purple bubbles represents the data for the third level drill down. (In this example, the different ‘Customers’ mapped to the ‘Agent’.)
Hover on any of the bubbles to view the details of the configured metrics.
Choosing the metrics for bubble size.
The size of the bubble in the graph depends on the data density of the metric chosen. For example, if the ‘Total Avg. Process Time’ is chosen to represent the bubble size, then:
The largest bubble will represent the ‘Process Activity’ (if ‘Process Activity’ is configured as the first level Dimension) with the highest ‘Total Avg. Process Time’.
The smallest of the bubbles will be represent the ‘Process Activity’ with the lowest ‘Total Avg. Process Time’.
The sizes of the rest of the bubbles in the plot will be between these two.
Click on the the ‘Bubble Size’ in the configuration screen to display a list of Dimensions.
Choose any one of the Metrics and click on the ‘Generate’ button to plot the graph with the chosen configuration.
Adding ‘Additional Metric’.
The details of the metrics for each bubble is displayed in a pop-up view, when the user hovers on any of the bubbles.
The Details displayed are:
Name of the Activity
Dimension chosen for the Bubble Size
Additional Metrics Chosen
While the first two options are chosen from the configuration screen. The third metric is added in the ‘Additional Metric’ option in the same interface.
Select and choose the metric from the drop down list in the ‘Additional Metric’ option and click the ‘Generate’ button to plot the graph with the configured metrics.
Setting the Minimum Instance Count
Set the ‘Minimum Instance Count’ to plot only those metrics from those process steps which have at least the mentioned number of instance counts.
For Example, if the ‘Minimum Instance Count’ is set to 10, data will be fetched and plotted only for those configured metrics which have have at least 10 Instances.
Enter a number in the ‘Min Instance Count’ box, in the configuration screen and press the ‘Generate' button to plot the graph with the given configuration of the 'Minimum Instance Count'.
Setting Top and Bottom counts
The configured plot can further be filtered based on certain number of ‘Top’ or ‘Bottom’ values.
Select type as ‘Top’ or ‘Bottom’ from the drop down list in the ‘Type’ feature at the bottom of the configuration screen and set a number in the ‘Value’ box.
For example, if the ‘Type' is set to ‘Top’ and the value is set to 10, then only the top 10 values of the chosen configuration will be plotted.
Note: The Max value that can be set is 30.