Frame the question
Define the decision, audience, scope, evidence standard, and accountable reviewers.
How Clarify Data works
A connected workflow from raw information to reviewable decisions
Clarify Data is designed to preserve source context through preparation, validation, verification, analysis, and accountable human review.
Working principle: The exact workflow is configured around the customer's data, decision, risk level, evidence standard, and review responsibilities.
The workflow
Nine stages, one evidence chain
Collect approved inputs
Inventory supplied files, documents, public sources, and permitted system data.
Prepare and map
Profile structure, normalize fields, resolve identities, and retain transformation lineage.
Validate quality
Apply explicit completeness, consistency, plausibility, uniqueness, and freshness rules.
Extract material claims
Separate factual assertions, calculations, interpretations, and recommendations.
Map evidence
Connect claims and metrics to current source passages, fields, definitions, and versions.
Analyze context
Compare internal performance, market observations, and previous report versions.
Route human review
Escalate uncertainty and high-impact conclusions to accountable domain reviewers.
Deliver and refresh
Publish traceable outputs with limitations, review state, and change triggers.
What stays attached
Evidence is part of the deliverable
Source lineage
Origin, publisher, access date, version, relevant passage, and usage constraints.
Transformation lineage
Mappings, calculations, exclusions, unit changes, merges, and rule versions.
Uncertainty
Conflicts, gaps, indirect evidence, stale values, and assumptions that need attention.
Review history
Reviewer, decision, rationale, overrides, open questions, and release state.
Expected outputs
Choose deliverables that match the decision
Structured evidence
Prepared datasets, validation reports, claim registers, source maps, comparison tables, and exception queues.
Decision support
Executive briefs, market analyses, benchmark reports, change summaries, and review-ready recommendations.
A practical next step
Bring a real question. Leave with a clearer evidence path.
Show us the dataset, claim, report, or market question your team needs to trust. We will map the relevant workflow and the review points it requires.