triangulation

To cross-check data analytics findings across multiple sources, trigger the ask-question or run-analysis workflow. Cross-source validation runs automatically within this embedded workflow to verify consistency across connected datasets and reports.

Cross-source validation in an analytics workflow is the process of cross-referencing findings across multiple connected datasets, dashboards, and reports. It validates conclusions by automatically applying consistency checks to ensure robustness.

No, you do not need to separately invoke triangulation to validate dashboards. The cross-source validation logic is embedded directly within the ask-question and run-analysis workflows and triggers automatically during execution.

Yes, you can run consistency checks across connected datasets without extra setup. By executing standard ask-question or run-analysis commands, the embedded validation logic automatically cross-references findings across the connected data sources.

You need multi-source consistency checks for your reports when validating a finding by comparing results across two dashboards or data sources. This confirms the robustness of your conclusions during standard analytics workflows.

A limitation of embedded cross-source validation is that it operates strictly inline with ask-question and run-analysis workflows. It cannot be invoked separately and relies entirely on connected datasets, dashboards, and reports to function.