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Configuring Analysis Projects (deprecated)

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Analysis Projects analyze Sample data to assemble a set of predictors that have influence on the nominated outcome, or to conduct distribution analysis on a data set.

Starting in Pega Customer Decision Hub version 8.5, this functionality is considered deprecated and may be removed in future versions of the product.
  1. Click Configuration Segmentation Segmentation Support Analysis Projects .

  2. Click Create.

  3. On the Create Analysis Project form, enter the following information:

    • Analysis Project name
    • Sample – Select a Sample from the list.
  4. Click Create and open.

  5. Configure the analysis type for the Analysis Project. The following analysis types are supported:

    • Configuring Static Analysis provides a convenient way to understand what the groups of data look like for a specific property and how many occurrences exist within each group.
    • Configuring Modeled Analysis provides a statistical assessment of the significance of the individual properties and their influence or power in predicting the targeted outcome.
  6. Click Save.

  7. Run the Analysis Project.

    • To run the Analysis Project manually, click the Results tab, and then click Run.
      • For Static Analysis, the Run button is in the Static Results section. If the Run button is inactive, check out the Analysis Project.
      • For Modeled Analysis, the Run button is in the Modeled Results section. If the Run button is inactive, check out the Analysis Project.
    • To run the Analysis Project automatically, schedule the Analysis Project execution in the Schedule tab. Analysis Project scheduling works in the same way as Segment scheduling. For more information, see Optional: Configuring Criteria Segment Runs.
  8. Click the Results tab to review the results of manual and scheduled analysis runs.

  9. Optional:

    Click the History tab to see the analysis execution statistics.

  • Configuring Static Analysis

    You can configure the Analysis Project to use static Data Distribution analysis. This provides a convenient way to understand what the groups of data look like for a specific property and how many occurrences exist within each group.

  • Configuring Modeled Analysis

    You can configure your Analysis Project to use modeled analysis. This approach uses statistical analysis to identify properties that have a high influence on the targeted outcome, completely removing the need for guess work or intuition when assembling criteria in a Segment.

  • Associating Analysis Projects with Segments

    You can associate a Segment with an Analysis Project so that you can reuse static and modeled analysis predictors during criteria assembly. For more information about associating an Analysis Project with a Segment at Segment creation, see .

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