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Intelligence Module
Data Quality Intelligence
Know exactly how trustworthy your ESG data is — before your auditor does. Rule-based quality scoring across every metric, every source, every reporting period.
5
PCAF quality tiers
6
Decomposed scoring
100%
Audit trail coverage
100%
Gap detection
Transparent Quality Scoring
Every data point receives a quality score on two axes - Emissions DQ and Denominator DQ - combined using the weakest-link principle. No black boxes.
Portfolio Coverage at this Tier
95%Verified and reported primary data meets the highest assurance standards for external reporting.
Two-Axis Decomposition
Emissions DQDQ 1
Denominator DQDQ 2
Combined (MAX)DQ 2
Weakest link governs
Agentic Quality Assurance
Continuous agents monitor your data estate — flagging anomalies, detecting gaps, and recommending remediation before reporting deadlines.
Automated Gap Detection
Agents continuously scan all connected data sources, flagging missing metrics, stale records, and coverage blind spots against your active frameworks.
Anomaly Detection
Statistical agents identify outliers, sudden shifts, and unit mismatches across your metric estate — alerting data owners before errors propagate to disclosures.
PCAF v2.0 Native
Per-holding two-axis DQ scoring (Emissions × Denominator) with combined MAX logic. Asset-class-specific lookup tables per PCAF Table 4-1 across all 7 classes.
Remediation Workflows
Every quality finding generates an actionable task — assigned to the data owner, tracked to resolution, logged immutably. DQ improves sprint by sprint.
Confidence Indicators
Every metric displays its quality tier, data source, last verification date, and confidence level. Your assurance provider sees exactly what you see.
Audit-Ready Reports
Generate data quality reports by framework, module, or reporting period. Complete lineage from source system to published disclosure.
How It Works
The platform runs continuous quality assessment across your data estate - no manual audits needed.
1
Connect Sources
Link your enterprise systems - Workday, SAP, Honeywell, GHG Inventory, or upload directly. The platform auto-maps fields to SustainGRC's canonical data model.
2
Assess Quality
Every data point is scored on two axes against PCAF v2.0 I2.0kup tables, Combined score uses weakest-link logic, no manual classification needed.
3
Detect & Alert
AI agents flag anomalies, missing values, and temporal mismatches. Findings auto-assign to data owners with remediation guidance.
4
Improve & Report
Track DQ improvement over time. Generate audit-ready reports showing quality progression by framework, metric category, or business unit.
Live Quality Dashboard
GHG Scope 1 Emissions
Honeywell
DQ 1Verified
Employee Turnover Rate
Workday
DQ 2Reported
Water Withdrawal
Manual Upload
DQ 3Estimated
Scope 3 Cat. 15
PCAF Default
DQ 5Default
Board Gender Diversity
sap hr
DQ 2Reported
Waste Recycling Rate
Intelex
DQ 1Verified
Portfolio Weighted DQ
2.3Scores Every Module
DQ Intelligence is the quality layer across your entire SustainGRC instance.
ESG Reporting
Climate Risk
CBAM
Materiality
Supply Chain
Green Claims
AI Governance
Board Governance