Evidence before claims

Synthetic dataset case studies

The current story is an illustrative template, not a completed customer deployment. Future customer cases require approval and evidence for every stated outcome.

Reusable publishing template

Every case must answer the same six questions.

A case is publishable only when scope, evidence, outcome, and limitations can be reviewed independently.

  1. 1 · Problem

    What decision, test, or workflow needed better data?

  2. 2 · Source and scope

    Which immutable observed release, fields, volume, and exclusions were used?

  3. 3 · Evidence

    Which fidelity, privacy, and domain-specific checks support the result?

  4. 4 · Delivery

    What format, release, label version, and access path were delivered?

  5. 5 · Outcome

    What changed, how was it measured, and over what period?

  6. 6 · Limitations

    What may not be inferred, and which uses remain prohibited?

01

Illustrative case-study template · not a customer deployment

Vehicle-market integration testing

Problem and intended use

A product team needs enough stable, realistic vehicle-listing rows to test pagination, filters, imports, and analytics before production use.

Scope and evidence

Pin dsv-preview-20260813, scope five fields and 100,000 target rows, exclude direct identifiers, then review schema, distributions, relationships, rare combinations, and source-row similarity.

  • Pinned lineage
  • Fidelity review
  • Privacy review
  • Explicit limitations
Illustrative outcome100,000 review-gated rows; no production claim while thresholds remain pending.
Delivery contractDataset label + accepted API or file releaseOne scoped pilot release
Apply the same evidence standard

Scope a pilot that can become an honest case study.

Scope a synthetic-data pilot
Synthetic dataset case studies | Dataset API