Data & evidence
Data quality
Data quality refers to the accuracy, completeness, consistency, and reliability of data used in sustainability reporting and analysis.
Corenot covered
What it is
Data quality refers to the accuracy, completeness, consistency, and reliability of data used in sustainability reporting and analysis. High-quality data ensures that sustainability metrics and disclosures are trustworthy, enabling informed decision-making and credible external reporting.
Why it matters
High-quality data ensures that sustainability metrics and disclosures are trustworthy, enabling informed decision-making and credible external reporting.
How it connects
improves
- Data governance
- Audit trail
- Assurance
- SASB Standards
- Carbon footprint
- Decarbonisation
- Cost of capital
- Supply chain mapping
- Anomaly detection
- GHG Protocol
- Market access
- Materiality assessment
- Biodiversity
- Science-based target
- SBTi
- GRI Standards
- TCFD
- Suppliers
- Product carbon footprint
- Supplier engagement
- Target setting
- Benchmarking
- Data collection
- Carbon accounting
- AI-driven entity resolution in supply chains
- Capital allocation
requires
measures
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