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Configuring a Group Comparison KDA

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Group Comparison Key Driver Analyses (KDAs) allow you to compare the difference in performance between to groups of data.

info_icon.png Since data analysis is iterative in nature, you can edit and re-run your Analysis configuration at any time. Alternatively, you can copy the Analysis and edit copy instead, to leave your original Analysis configuration intact. Refer to Duplicating and Editing an Analysis

 

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What is a Group Comparison KDA?

A Group Comparison KDA is one of the three analysis types that Sisu performs:

    1. General Performance
    2. Time Comparison
    3. Group Comparison

In this type of analysis, the data between multiple groups are compared against each other. Groups are mutually exclusive subgroups of data. Common examples of this are:

  • Sales from TX versus Sales from CA 
  • Completed orders versus uncompleted orders
  • Sessions that converted versus sessions that did not convert 

Sisu analyzes all possible combinations in each of the groups, determines the relevant statistics for each subgroup, and then uses our algorithm to determine which subpopulations are statistically significant. 

Statistical significance can be driven from changes in metric calculation, subpopulation size, or combination of the two.

info_icon.png Statistical significance can be driven from changes in metric calculation, subpopulation size, or combination of the two. For more information, refer to Sisu 101.

 

For more details, please refer to Understanding Sisu’s Analysis Types.

Configuring a Group Comparison KDA

To create and configure a Group Comparison KDA:

  1. Ensure that you have either uploaded data to Sisu or have connected to a data source.
    tip_icon_-_small.png Refer to the “Connecting to External Data Sources” articles in the Data Input & Connections section for details on connecting to a data source.

  2. From the Projects module, select the Project Name you wish to work with.

    Select_Project.png

  3. Select a Metric for your analysis.

    Select_Metric.png
    tip_icon_-_small.png Refer to Defining a Metric for details.

  4. Click + to to display the “Create new analysis”modal. Select Key Driver Analysis, type a descriptive name, and click Create analysis.

    Create_Analysis.png

  5. In the Compare menu, select Groups.

    Click_Compare.png

    In this modal, define the two groups that you want Sisu to compare using the fields provided for both Group A and Group B.

    Group Name

    Optional. This will appear in the name of the comparison type for future use.

    For example:  “Compare Morning vs. Night” where Morning is Group A name and Night is Group B name.

    Data Field dropdown

    Select the data point (column) in your data set that will define the group.For example:  ORDER_DAY_PART

    Operation dropdown

    Select the logical operation to determine a condition for the drill down. Options include equal to, less than or equal to, greater than or equal to, less than, greater than, and not equal to.For example:  = STORE_NEWYORK

    Select Data Value dropdown

    For equals to and not equals to, this dropdown will reveal all values in the field and the value selected will create the group.
    For example:  morning for Group A and night for Group B

    Save and Run

    Click to save these settings and run the Analysis immediately if all other settings are complete.

    Save

    Click to save these settings and return to other Analysis settings without running the analysis yet.

    Reset

    Click to clear your current settings in this modal and start over.

     

    tip_icon_-_small.png Refer to Creating & Managing Queries for details.

  6. Optional:  Select Custom filter to define any filters you would like to apply to the Analysis, and click Save to save the filter and return to the Analysis settings (or Save and run if all settings are complete).

    Select_Filter.png
    tip_icon_-_small.png Refer to Setting Custom Filters for more information.

     

  7. Optional:  Choose any additional settings you would like for your Analysis.
    tip_icon_-_small.png Refer to Understanding Sisu's Statistical Models for more information on available advanced settings.

     

    tip_icon_-_small.png The analysis automatically includes all data columns within the dataset. However, if you need to remove any data point, you can use the Manage columns button to deselect them. Refer to Managing Columns for an Analysis

  8. If you selected Save in the define Groups modal, click Run.
    Sisu will process the Analysis and display the results. This example shows orders made in the morning compared to orders made in the Evening.

GC_Example.png

 

tip_icon_-_small.png

If you receive a “Run failed” message, you can click “Show details” to display information about what went wrong. Usually, it’s a problem with the data that can be easily fixed.

Refer to Troubleshooting Common Issues for further assistance.

 

info_icon.png NEXT STEP:  Refer to Interpreting a Group Comparison Analysis for information on understanding the analysis results.