troubleshooting-data-issues

Data discrepancies often stem from source connection errors, timezone mismatches, or incorrect report types. Systematic troubleshooting audits sources, blends, and widget configurations to pinpoint whether the mismatch is caused by currency settings or attribution window differences.

To troubleshoot missing metrics, you need to perform root cause analysis on your data sources. This involves checking source connection failures, auditing blend logic, and verifying widget-level filtering to identify where the data integration is breaking down.

The best way to diagnose a source connection failure is to systematically audit the source configuration and fetch raw data. Comparing raw data fetches against native platform metrics helps validate data integrity and isolate the connection error.

Yes, data validation involves fetching raw data and comparing it against native platform metrics. This process isolates configuration errors and identifies whether issues originate from blend logic, widget-level filtering, or the source connection itself.

Yes, systematic root cause analysis requires access to list-sources, fetch-data, and list-widgets tools. These tools allow you to audit marketing data integration, inspect blend logic, and verify configurations to resolve errors.