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Create a Metric for a Semantic Model in Data 360
Create a metric to standardize how your organization measures performance.
Required Editions
| Available in: All editions supported by Data 360. See Data 360 edition availability. |
| User Permissions Needed | |
|---|---|
| To create a metric: | Permission set:
AND Semantic Models object |
- In Data Cloud, on the Semantic Layer tab, go to the Metrics tab.
- Click New Metric, and select the semantic model that you want to use.
- Name the metric, enter an optional description, and click Next.
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Define the measure and time dimension fields to track the Metric over time, and then
click Next.
- To create a new measure or dimension, click + Add New from the dropdown.
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If you want to group and filter the metric for more detailed insights, add dimensions,
and then click Next.
- To create a new dimension, click + Add New from the dropdown.
- Set the primary comparison period. Add an optional secondary comparison.
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(Tableau Next only) On the Insights step, configure automated
analysis and drill-down options.
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Record-Level Details: Enable drill-down functionality to
row-level data.
Note Enter the information for Record ID and Fields before turning on Records Level Data. The record-level table appears on the Metric detail page after you configure all three items.
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Record-Level Details: Enable drill-down functionality to
row-level data.
- Click Save.
- Edit or Delete a Metric
Keep your data model current by updating metric configurations or removing them. Deleting a metric removes it from all associated reports and dashboards. - Apply a Filter to a Related Metric
Use submetrics to provide additional granularity and track more detailed performance indicators. A submetric breaks down the main metric into more specific, actionable data points.
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