Data intake/profiling
Data-quality rules
Data Quality
Know when your data stops being trustworthy — and why.
Request a DemoExplore capabilities ↓Data QualityDEPARTMENT WORKSPACE
THE OUTCOME
Trustworthy data. Findings you can explain.
Evidence & contextPreserved
Human decisionExplicit
Department stateDurable
Illustrative workspace · example data
CLEAR OWNERSHIP
What it owns
Baselines and expectations
Anomaly/finding detection
Drift and recurring issue visibility
Evidence-backed investigation
Data readiness
BUSINESS CAPABILITY
Capabilities
The work this department brings together.
Sources & rules
- Reusable source/data profiles
- Schema and content validation
- Completeness, validity, consistency and relationship rules
- Source-specific rule libraries
Data health & monitoring
- Baseline health and change/drift detection
- Review duplicate records, mappings and identity matches
- Trend and recurring-defect analysis
- Scheduled and event-driven monitoring within approved capacity and scope
Findings & reusable knowledge
- Explainable findings with source evidence
- Preserve verified, reusable organizational knowledge in Company Brain
Readiness & root causes
- Data readiness for implementation/onboarding
- Root-cause handoffs to Operations Quality
- Customer Success/Implementation readiness handoffs
WORK IN MOTION
How the work flows
- 01Receive & profile the file
- 02Run deterministic checks
- 03Inspect anomaly evidence
- 04Explain the finding
- 05Hand process causes to Ops
- 06Prepare the human decision
CONNECTED ORGANIZATIONAL WORK
Works with
Clear ownership. Shared evidence. Context that travels with the work.
DECISIONS THAT MATTER
Human control
You decide which corrections and downstream actions to authorize. Data Quality provides the findings, source evidence and reasoning needed to make that decision.
DURABLE STATE
What stays with the department
Source profiles, rules, findings, baselines, investigation evidence and decisions.
Parking preserves the work, history and configuration. Reactivation brings the same organization back into focus.
LET’S MAKE IT CONCRETE