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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.

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.

For reports and PDFs, confirm:

  1. The file was created in the expected Document path.
  2. The report contains the expected tables, labels, sections, and values.
  3. Images and logos appear where expected.
  4. Page-level layout is acceptable for the business use.
  5. Downstream users can open or distribute the file.

When exact layout is important, compare the PlaidCloud artifact to a trusted Alteryx output.

For charts and dashboard-style outputs, confirm:

  1. The source data matches expected schema, row count, and values.
  2. Measures, dimensions, and labels are correct.
  3. Filters or parameters were applied correctly.
  4. 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.

For map outputs, confirm:

  1. Spatial inputs loaded successfully.
  2. Coordinate reference behavior is acceptable.
  3. Map layers contain the expected records.
  4. Labels, boundaries, and geometry are correct for the business use.
  5. Any intentional cloud-native artifact difference is documented.

For data-critical map workflows, also validate the geometry table behind the artifact.

For extraction and text workflows, confirm:

  1. The expected files were processed.
  2. Extracted text, tables, scores, topics, or classifications are present.
  3. Output tables match expected schema and row counts.
  4. Values match expected outputs within agreed tolerance.
  5. Executor notes were reviewed.

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.