Blend External Data with Workday Data
Use Prism Data Management to transform and aggregate data from your external tables (and optionally Workday tables) into an analysis-ready dataset.
- Create a Derived Dataset.
- Access the Prism Data Catalog report.
- Select .
- Select one or more source tables or datasets that contain the measures and dimensions you want to analyze.Example: A Workday dataset and an external table.
- Enter a meaningfulDataset Namethat clearly describes the content and purpose of the dataset.
- SelectSaveto open the dataset in theEdit Dataset Transformationspage.
- Join Workday and external data.
- On theEdit Dataset Transformationspage, in the top panel, select .
- In thePrimary Pipeline, keep your main table or dataset (Example: Workday data).
- In theSelect a Pipelinedropdown list, clickAdd Another Pipelineand select the external table from yourExternal Catalog.
- Use business keys (Examples: Worker IDs, transaction IDs, cost center IDs) to define the join.
- (Optional) Use Copilot suggestions to identify high-confidence field pairs and confirm the ones you want to use.
- Select an appropriateJoin Type(Example:Inner Joinwhen you only want records that exist in both sources).
- InSelect Fields, include only the fields that are relevant to your analysis.
- Create calculated fields.To prepare your measures for analysis:
- On theEdit Dataset Transformationspage, selectAdd Field.
- Use thePrism Copilot Expression Builderto:
- Standardize numeric measures (Examples: Convert text to numeric, or normalize to a common currency or unit).
- Derive business metrics (such as totals, ratios, flags, or categories).
- Clean or format text and date fields into more report-friendly values.
- Give each calculated field a clear, business-friendly name.
- SelectSavein the upper-right corner to save the updated dataset definition.
- Reshape and aggregate the data.Depending on your reporting needs, you may want to reshape or pre-aggregate the data:
- Use stages such asUnpivotorPivotto restructure multiple related measures into a format that is easier to slice and compare.
- UseAggregateor Grouping-style transformations to pre-roll up data at a useful grain (Examples: By worker, cost center, time period, or product).
After making changes, use the preview pane to confirm that:- The key dimensions (Examples: Organizations, dates, entities) appear as expected.
- The measures are in the correct format and at the correct level of detail.
- Publish the dataset.When you are satisfied with the structure and contents of the dataset:
- From theView Dataset Detailspage, select .
- SelectSubmitto start the publish operation.
- Use theRefreshicon to update the status until the publishing operation is complete and shows as Published.
The published dataset is now ready to be used as a data source in:
- Custom Reports
- Dashboards
- Discovery Board Visualizations
- WQL Queries