CSRD reporting at scale — collecting sustainability data from operations, value chain, and subsidiaries; applying ESRS standards; tagging in ESEF format; preparing for assurance — cannot be done efficiently in spreadsheets. The companies that build their CSRD reporting process on the right tooling infrastructure will spend a fraction of the time on annual reporting compared to those using manual processes.
The CSRD Data Challenge
CSRD requires data from multiple internal systems and external sources:
Internal systems:
- Finance system: revenue, CapEx, OpEx by category (for EU Taxonomy calculations)
- HR/payroll: headcount, gender breakdown, pay data, training records
- EHS (Environment, Health and Safety) system: incident rates, waste data
- Energy management: electricity, fuel consumption by site
- Procurement: supplier spend data (for Scope 3 Category 1 calculations)
External data:
- Cloud provider carbon reports (AWS, Azure, GCP)
- Supplier sustainability data (for value chain reporting)
- Emission factor databases (GHG Protocol, DEFRA, IEA)
- Financial market data (for financial institutions' financed emissions)
The challenge: these data sources are in different systems, formats, and update cycles. Manually aggregating them into a CSRD report annually is error-prone, slow, and not auditable.
The CSRD Reporting Technology Stack
1. Data Collection and Aggregation
Purpose: Pull sustainability data from internal systems and suppliers into a central repository.
Tooling options:
- ESG data platforms (Workiva, Persefoni, Watershed, Sweep, Plan A): Purpose-built for collecting, validating, and aggregating sustainability data. Most support ESRS/GRI/TCFD alignment and Scope 1/2/3 calculation.
- BI tools (Power BI, Tableau, Looker): Can aggregate internal data but require significant configuration for ESRS-specific requirements; no native ESRS or ESEF support.
- Manual data collection with templates: Excel or Google Sheets master templates for collecting data from subsidiary managers or suppliers. Low cost; high manual effort; poor for assurance.
2. GHG Calculations
Purpose: Calculate Scope 1, 2, and 3 GHG emissions using appropriate emission factors.
Key tools:
- Watershed, Persefoni, Sweep: Automated Scope 3 Category calculations using spend data and activity data; built-in emission factor libraries; GHG Protocol compliant
- DEFRA/EPA emission factor databases: Free; require manual application
- Cloud provider tools: AWS Customer Carbon Footprint, Google Carbon Footprint, Azure Emissions Impact — direct connection available via ESG platforms
3. ESRS Disclosure Management
Purpose: Organise and write ESRS disclosures, track what has been completed, and manage the reporting document.
Tooling options:
- Workiva, OneStream: Full ESG reporting platforms with ESRS disclosure templates, assurance workflow, and ESEF tagging
- EFRAG ESRS checklist tool: Free reference tool for checking disclosure completeness
- Document management systems with version control (SharePoint, Confluence): Can work for smaller companies but lack ESRS-specific structure
4. ESEF Tagging
Purpose: Tag quantitative ESRS disclosures in the European Single Electronic Format for machine-readable reporting.
ESEF taxonomy: The European Commission has extended the ESEF taxonomy to include ESRS tags. Taxonomy extensions are available from ESMA.
Tooling: ESEF tagging requires specialist software (Workiva, IRIS, Toppan Merrill, filing agents) or manual iXBRL tagging using open-source tools. This is a technical requirement — most companies will use a service provider.
5. Assurance Support
Purpose: Organise underlying evidence and data trails to support the limited assurance engagement.
What assurance providers need:
- Source data with clear provenance (utility bills, HR system exports, cloud carbon reports)
- Documented calculation methodology
- Data validation log (how errors were caught and corrected)
- Management review trail
Good data management during the year — not just at report time — reduces assurance effort significantly.
Automation Opportunities by ESRS Topic
| ESRS Topic | Automation Opportunity |
|---|---|
| E1 (Climate/Energy) | Auto-import utility bills; cloud provider API integration for Scope 3; automatic GHG calculation |
| S1 (Workforce) | HR system API export; automatic TRIR calculation from incident system |
| G1 (Business conduct) | Policy register integration; automated policy review reminders |
| ESRS 2 (General disclosures) | Governance structure documentation; materiality assessment workflow |
Value Chain Data Collection
Requesting sustainability data from suppliers is one of the most time-consuming elements of CSRD compliance. Platforms that streamline this:
EcoVadis, Sedex, CDP Supply Chain: Suppliers complete sustainability assessments once and share results with multiple customers. Reduces supplier questionnaire fatigue.
Standardised supplier questionnaires aligned with ESRS VSME: Using a standard format based on the ESRS voluntary SME standard helps suppliers respond more efficiently.
Building the Reporting Workflow
Year-round data collection: Don't wait until December to start collecting data. Energy consumption and HR data should be collected monthly. Cloud carbon data should be pulled quarterly.
Single source of truth: All sustainability data should flow into one central system, not individual spreadsheets held by different team members.
Audit trail: Every data point should have a documented source — utility bill, system export, or manual entry with reviewer sign-off.
Internal review workflow: CFO review of financial metrics, ESG lead review of environmental metrics, HR review of workforce metrics — before assurance engagement.