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Run Contribution Analysis

Contribution Analysis is an intensive machine learning process designed to uncover contributors to an observed anomaly in ÃÛ¶¹ÊÓÆµ Analytics. The intent is to assist the user in finding areas of focus or opportunities for additional analysis much more quickly than would otherwise be possible.

NOTE
Contribution Analysis is only supported for data with daily granularity.

The steps to run Contribution Analysis are:

  1. Invoke contribution analysis in a project.

    Run Contribution analysis

    1. In a Line visualization, based on a freeform table with daily granularity, select an anomaly data point. From the popup, select Analyze.

    2. In a freeform table with daily granularity, from the context menu on any row, select Run contribution analysis. You can even run the analysis on rows that do not display any anomaly.

    3. In a freeform table with daily granularity, on a row that indicates an anomaly:

      1. Select the indicator â—¥.
      2. From the Alert Anomaly detected dialog, select Open Contribution Analysis.
  2. (Optional) You can narrow the scope of (and thus speed up) the analysis by excluding dimensions.

    Excluding dimensions from Contribution analysis

  3. Select Run contribution analysis.

  4. Wait while the contribution analysis is processed. The processing can take a considerable amount of time, depending on the size of your report suite and the number of dimensions. Contribution analysis performs analysis on the top 50,000 items per dimension. You are also notified about the number of contribution analysis tokens remaining.

    Contribution analysis executing

  5. Analysis Workspace loads a new Contribution analysis panel directly within this project.

    Contribution Analysis panel

    • A summary number visualization.

    • A monthly trended line visualization.

    • A Top Items freeform table that displays which top items contribute to this anomaly, sorted by Contribution score. The additional columns show the metric in question, and a Unique Visitors metric to provide context.

    • The Generated Segments (Top Item Clusters) freeform table identifies associations of top items based on the Contribution Score, anomaly occurrences, and overall percentage contributing to the anomalous metric. This association is then captured as an audience segment (Contribution Segment 1, Contribution Segment 2, etc.). Select Info to display the segment’s definition, including which top items the segments is made up of:

  6. Since contribution analysis is now part of Analysis Workspace, you can take advantage of a number of its features from a freeform table context menu to make your analysis even more meaningful, such as:

NOTE
The anomaly that is analyzed is highlighted with a blue dot within Contribution Analysis and the Intelligent Alert projects linked to it. This highlight provides a clearer indication of the anomaly being analyzed.

Exclude dimensions

You might want to exclude some dimensions from Contribution Analysis. For example, you may not care about any browser- or hardware-related dimensions at all, and you want to speed up analysis by removing them.

To manage the excluded dimension:

  • Drag any unwanted dimensions into the Excluded Dimensions panel, then save the list by clicking Set as Default.

  • Select Clear All to start over.

  • Select Dimensions to display a context menu and use CrossSize400 to remove any selected excluded dimension from the list.

After you have modified dimensions to exclude, select Run contribution analysis again.

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