eyko Ideas
A disclosure is only as sound as the data under it. ESG Data Quality Assessment finds the missing, inconsistent, and duplicate ESG data across business units before it reaches the report.
The Challenge
Data problems surface during the reporting scramble, when there is no time to fix them at the source.
Inputs live across units and systems, entered differently, so the same metric is recorded in incompatible ways.
Supplier and value-chain data is the hardest to collect and the most likely to be missing or estimated.
How eyko Solves It
ESG Data Quality Assessment checks required ESG data across business units for completeness, consistency, and duplication, attributes the failures to their source, and ranks them so the data is fixed before it reaches the report.
Across business units, 22 percent of required ESG data points fail quality checks: missing values, inconsistent units, and duplicates, concentrated in two business units and in Scope 3 supplier data.
| Metric | Current | Benchmark | Status |
|---|---|---|---|
| Primary indicator | Flagged | Target | Action needed |
| Secondary indicator | Monitoring | Within range | On track |
| Trend direction | Declining | Stable | Review required |
ESG data quality assessment checks the data behind your required disclosures for completeness, consistency, and duplication across business units, well ahead of the reporting deadline. The Playbook quantifies how much of the required data fails quality checks and separates the failure into missing values, inconsistent units, and duplicates, so quality is a known number rather than a deadline-day surprise.
This is decision intelligence in practice: the what, the why, and the what next from your live data.
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View IdeaFAQ
Everything you need to know about ESG Data Quality Assessment.
ESG data quality assessment checks the data behind your required disclosures for completeness, consistency, and duplication across business units, before the reporting deadline. eyko quantifies how much of the required data fails quality checks, splits the failure into missing values, inconsistent units, and duplicates, attributes each to its source, and ranks them so the data is fixed before it reaches the report.
It reads the ESG inputs behind your required disclosures from your ERP, sustainability systems, supplier records, and the spreadsheets where ESG data often lives, alongside any data platform you already run. It works with systems such as SAP, Oracle, Workday, and Snowflake, and there is no separate data project to start.
The Playbook checks each required data point for completeness, unit and methodology consistency, and duplication, then attributes the failures to the business units and systems they come from. It weights Scope 3 supplier data, the weakest area, so the gaps that most threaten the report surface first.
ESG data quality assessment measures whether the underlying data is clean, complete, and consistent at the source. ESG reporting readiness judges whether the assembled data is good enough to report and pass assurance. Quality assessment fixes the inputs; readiness tells you whether the report is ready to file.
Join the enterprises replacing weeks of manual analysis with a single prompt. See what eyko Playbooks can do with your data.
