CSRD Data Collection
Data collection is the biggest practical challenge in CSRD compliance. Most companies have the data — it just lives in 15 different systems in incompatible formats. Building a unified ESG data infrastructure is a 12–18 month project. Start now.
Data collection is the biggest practical challenge in CSRD compliance. Environmental data (Scope 1, 2, energy, waste, water): Utility management systems, procurement records, fuel logs, meter readings.
Where CSRD data lives in your organisation
Environmental data (Scope 1, 2, energy, waste, water): Utility management systems, procurement records, fuel logs, meter readings. Often managed by facilities or operations teams.
Scope 3 data: Procurement systems (spend data for Cat 1), fleet management (Cat 4), HR systems (headcount for Cat 7 commuting), finance systems (business travel Cat 6), product teams (Cat 11 product energy use).
Social data (ESRS S1): HR information systems — headcount, contracts, location, gender, pay, training hours, health and safety incident logs.
Governance data (ESRS G1): Legal, compliance, and finance teams — anti-corruption training records, whistleblower case logs, payment term data, lobbying expenditure.
The data quality requirements
CSRD data must be: complete (all required datapoints, no unexplained gaps); accurate (traceable to source records); consistent (same methodology year-over-year); and timely (available within the filing window).
Most companies find that existing data fails at least one of these tests. Common problems: energy data not reconciled to invoices; headcount data inconsistent between HR and finance systems; health and safety data in paper records not digitised; Scope 3 data entirely estimated with no supplier engagement.
Building compliant data infrastructure requires a systematic mapping of each required ESRS datapoint to its source system, followed by a gap analysis of data quality.
Building your data collection process
Step 1 — Data mapping: For each ESRS datapoint you need to report, identify which system it comes from, who owns it, and what format it is in.
Step 2 — Quality assessment: For each data source, assess quality against the CSRD requirements. Identify gaps, inconsistencies and reliability issues.
Step 3 — Process design: Design the collection, validation and consolidation process for each data stream. Assign ownership. Set collection frequencies.
Step 4 — System implementation: Implement the collection system — whether a dedicated ESG platform like ESGMaster or a structured spreadsheet architecture for smaller companies.
Step 5 — Dry run: Collect and consolidate a full year of data before your first filing. Identify issues. Fix before the real filing.
Frequently asked questions
Do we need specialist ESG software for CSRD data collection?
Not necessarily for small companies. For 250–500 employee companies with limited ESRS exposure, well-structured spreadsheets with clear audit trails can work. For 1,000+ employee companies with complex value chains, dedicated ESG software significantly reduces risk and effort.
How long does it take to build Scope 3 data infrastructure?
12–18 months for a complete Scope 3 programme including supplier engagement. The spend-based screening (Category 1 estimate) can be done in weeks. Primary supplier data for material categories requires relationship building over time.
Can we restate prior year data if our methodology changes?
Yes — ESRS requires restatement of prior year comparatives when methodologies change significantly. The restatement must be disclosed with an explanation of why the change was made.