Diagnose Analytics Dashboard Issues

1. Checks the dashboard's visualizations and the semantic models behind them.
2. Looks at logical views, data model objects and joins to confirm the underlying data exists.
3. Traces the cause to a specific setting or source field. In one case it was empty time-grain settings that stopped cumulative aggregations. In another it was a content ID field on the email message data model object that was not populated.
4. Writes a fix plan as API calls against the semantic models, or gets the source data corrected through a CRM connector refresh.
5. Checks a real record to see whether the dashboard now shows correct values.
6. Confirms through the Tableau Next API that dashboards exist, and gives navigation steps.

Next: Build Analytics Dashboards.