Validate Alteryx Reports And Artifacts
Some Alteryx workflows create files and visual outputs rather than only tables. PlaidCloud converts these steps into cloud-native artifacts that can be stored in Document, reviewed from workflow run history, and used by downstream processes.
Artifact Types
Section titled “Artifact Types”Converted workflows can produce or use:
- PDFs.
- Images.
- Charts.
- Maps.
- HTML or report fragments.
- Report tables and layouts.
- Dashboards or insight-style review artifacts.
- Model, NLP, OCR, or text-analysis outputs.
PlaidCloud stores generated files in Document when the converted workflow writes an artifact.
Validate Report Content
Section titled “Validate Report Content”For reports and PDFs, confirm:
- The file was created in the expected Document path.
- The report contains the expected tables, labels, sections, and values.
- Images and logos appear where expected.
- Page-level layout is acceptable for the business use.
- Downstream users can open or distribute the file.
When exact layout is important, compare the PlaidCloud artifact to a trusted Alteryx output.
Validate Charts And Dashboards
Section titled “Validate Charts And Dashboards”For charts and dashboard-style outputs, confirm:
- The source data matches expected schema, row count, and values.
- Measures, dimensions, and labels are correct.
- Filters or parameters were applied correctly.
- The generated chart or dashboard supports the intended review workflow.
PlaidCloud may create a cloud-native visualization rather than reproducing an Alteryx desktop-specific renderer.
Validate Maps
Section titled “Validate Maps”For map outputs, confirm:
- Spatial inputs loaded successfully.
- Coordinate reference behavior is acceptable.
- Map layers contain the expected records.
- Labels, boundaries, and geometry are correct for the business use.
- Any intentional cloud-native artifact difference is documented.
For data-critical map workflows, also validate the geometry table behind the artifact.
Validate OCR, PDF, And NLP Outputs
Section titled “Validate OCR, PDF, And NLP Outputs”For extraction and text workflows, confirm:
- The expected files were processed.
- Extracted text, tables, scores, topics, or classifications are present.
- Output tables match expected schema and row counts.
- Values match expected outputs within agreed tolerance.
- Executor notes were reviewed.
Acceptance Record
Section titled “Acceptance Record”For production migrations, keep a validation record with:
- Workflow name.
- Run date.
- Document output path.
- Expected output source.
- Validation level.
- Accepted cloud-native artifact differences.
- Approver.