CSRD Data Collection and Gap Analysis: A Practical Guide to Getting Your ESG Data Ready

If you've completed your double materiality assessment and understand which ESRS standards apply to your company, you've cleared the strategic hurdle. Now comes the operational one — and for most companies, it's far harder: actually collecting the data.

The CSRD's reporting requirements translate into hundreds of individual data points spanning environmental metrics, social indicators, and governance disclosures. Most organisations discover, often painfully, that the data either doesn't exist, lives in spreadsheets nobody maintains, or is scattered across departments that have never spoken to each other about sustainability.

A structured gap analysis is how you turn that chaos into a manageable project. This guide walks you through the process step by step.

What Is a CSRD Data Gap Analysis?

A gap analysis compares what you need to report under the ESRS with what you can actually measure and document today. The output is a clear map of:

• Data you already have — and whether it meets the quality and granularity the ESRS requires
• Data that exists but needs work — available somewhere in the organisation but not in the right format, frequency, or scope
• Data you don't have at all — requiring new collection processes, systems, or even new supplier relationships

This isn't a one-time exercise. As your reporting matures and the ESRS framework evolves (sector-specific standards are still being developed), you'll revisit your gap analysis regularly. But the first round is always the most intensive.

Step 1: Map Your Material ESRS Data Points

Start with the output of your double materiality assessment. For each material ESRS standard, list every required disclosure and the specific data points behind it.

The full ESRS framework contains over 1,100 individual data points across its 12 standards. After materiality filtering, most companies face 300–600 relevant data points — still a substantial number.

For each data point, document:

• What's being asked — the specific metric or narrative disclosure
• Unit and format — tonnes CO₂e, headcount, percentage, qualitative narrative
• Reporting boundary — consolidated group, per entity, per geography
• Time dimension — point-in-time snapshot, annual aggregate, or trend data
• Whether it's mandatory or subject to materiality — some disclosures within a material standard are always required; others depend on further assessment

Pro Tip: Use the EFRAG Implementation Guidance

The European Financial Reporting Advisory Group (EFRAG) has published detailed implementation guidance for each ESRS standard, including data point inventories. These are freely available and far more practical than reading the legal text of the standards themselves.

Step 2: Inventory Your Current Data Landscape

Before you can identify gaps, you need to know what you already have. This means going department by department:

• Finance — energy costs, capital expenditure on green assets, revenue breakdowns
• HR — headcount, diversity metrics, training hours, health and safety incidents, collective bargaining coverage
• Operations — energy consumption, waste volumes, water usage, production data
• Procurement — supplier lists, spend data, supplier codes of conduct
• Legal/Compliance — policies, due diligence processes, governance structures
• Facilities — building energy certificates, fleet data, business travel records

For each existing data source, assess:

1. Availability — Is it collected systematically or ad hoc?
2. Quality — Is it accurate, complete, and consistent?
3. Granularity — Does it break down to the level the ESRS requires?
4. Frequency — Is it updated annually, quarterly, or in real time?
5. Auditability — Can you trace it back to a source document? This matters because CSRD reports require third-party assurance

Step 3: Identify and Classify Your Gaps

With your requirements map and data inventory side by side, the gaps become visible. Classify them by severity:

Critical Gaps

Data that doesn't exist and requires significant effort to collect. Common examples:

• Scope 3 emissions — Most companies have no systematic process for calculating value chain emissions. This single category often represents the largest data gap
• Biodiversity metrics — Land use impact, proximity to sensitive areas, ecosystem dependencies
• Supply chain due diligence data — Human rights and environmental assessments of Tier 2+ suppliers

Moderate Gaps

Data that exists in some form but needs transformation:

• Energy data by source — You might track total energy cost but not the split between renewable and non-renewable sources
• Employee metrics by category — HR has headcount but not broken down by the ESRS-required categories (gender, age group, contract type, region)
• Training hours — Tracked for compliance training but not for sustainability-related upskilling

Minor Gaps

Data that's mostly there but needs formatting or documentation:

• Policies — They exist but haven't been mapped to ESRS disclosure requirements
• Governance structures — Board composition data exists but hasn't been framed in sustainability terms
• Targets — The company has targets but they haven't been expressed in ESRS-compliant format

Step 4: Build Your Data Collection Infrastructure

Closing gaps requires more than just finding numbers. You need sustainable (no pun intended) processes that will work year after year.

Assign Data Ownership

Every data point needs a named owner — a real person responsible for collecting, validating, and delivering it on schedule. Sustainability reporting fails when it's treated as "the sustainability team's problem." The sustainability team coordinates; the data comes from across the business.

Define Collection Processes

For each gap, decide:

• Source system — Where will the data originate? ERP, HR system, utility bills, supplier questionnaires?
• Collection method — Automated extraction, manual input, third-party calculation?
• Validation steps — Who checks the data before it enters the report? What reasonableness checks apply?
• Timeline — When must data be delivered to meet reporting deadlines?

Consider Technology

For companies with complex structures or multiple sectors to report on, manual Excel-based collection becomes unsustainable quickly. ESG data management platforms can help by:

• Centralising data collection with role-based input
• Automating unit conversions and calculations (particularly for emissions)
• Maintaining audit trails automatically
• Tracking progress against deadlines
• Generating ESRS-aligned outputs, including XBRL-tagged reports

That said, don't over-invest in tooling before you understand your data. Many companies start with structured spreadsheets for Year 1 and migrate to platforms once they know what works.

Step 5: Address the Hardest Gaps — Value Chain Data

The CSRD explicitly requires reporting on upstream and downstream value chain impacts. This is where most gap analyses reveal the deepest holes.

Your own operations produce data you control. Your value chain doesn't. Closing this gap requires:

• Supplier engagement programmes — Questionnaires, scorecards, and capacity-building initiatives
• Industry databases — Sector-average emission factors, benchmarking data
• Estimation methodologies — The ESRS permits estimations and proxies where primary data isn't available, but you must disclose your methodology
• Phased approaches — Start with your most material suppliers (usually top 20 by spend or impact) and expand coverage over time

If your company qualifies as an SME working within a larger company's value chain, you may be on the receiving end of these data requests. Understanding what's being asked — and why — helps you respond efficiently.

Common Pitfalls to Avoid

Starting too late. A thorough gap analysis takes 2–4 months. Data collection infrastructure takes another 3–6 months to build. If your first reporting period has already begun, you're behind.

Treating it as a one-off project. Gap analysis is iterative. Your first report will use estimates and proxies where primary data isn't ready. That's acceptable under the ESRS — but you need a credible plan to improve data quality over time.

Ignoring data quality. Having a number is not the same as having a reliable, auditable number. Your assurance provider will test not just whether data exists, but whether it's accurate and traceable.

Working in silos. The single biggest failure mode is the sustainability team trying to do everything alone. CSRD data collection is a cross-functional exercise. Finance, HR, operations, procurement, and IT all need to be involved from day one.

Over-engineering Year 1. Perfectionism kills momentum. Your first CSRD report won't be perfect — and regulators know that. Focus on material topics, use reasonable estimates where needed, and document your methodology clearly.

How a Consultant Can Help

If this process sounds overwhelming, you're not alone. A CSRD consultant can accelerate your gap analysis significantly by bringing:

• Pre-built data point inventories mapped to each ESRS standard
• Experience with what "good enough" looks like for Year 1
• Templates for data collection and validation
• Benchmarks from similar companies in your industry
• Guidance on cost-effective approaches to closing gaps

Whether you choose a Big 4 firm or an independent specialist depends on your size, complexity, and budget. But for most companies, external support during the gap analysis phase pays for itself in time saved and mistakes avoided.

Your Gap Analysis Checklist

Use this as a starting point for your own process:

• ☐ Complete double materiality assessment
• ☐ Map all material ESRS data points with required format and boundary
• ☐ Inventory existing data sources across all departments
• ☐ Classify gaps as critical, moderate, or minor
• ☐ Prioritise critical gaps (Scope 3, value chain, biodiversity)
• ☐ Assign data owners for every material data point
• ☐ Define collection processes, validation steps, and timelines
• ☐ Evaluate technology needs (spreadsheets vs. ESG platform)
• ☐ Launch supplier engagement for value chain data
• ☐ Document methodology for all estimates and proxies
• ☐ Test data flows with a dry run before the reporting deadline
• ☐ Brief your assurance provider on your data architecture

Getting Started

The gap analysis is where CSRD compliance moves from strategy to execution. It's not glamorous work — but it's the foundation everything else builds on. Companies that invest in this phase properly end up with cleaner reports, smoother audits, and a genuine understanding of their sustainability performance.

Start early, involve the right people, and don't let perfect be the enemy of done. Your first report is a baseline, not a final exam.

Need help identifying your data gaps? Browse our directory of CSRD consultants to find specialists who can guide you through the process — or get in touch to discuss your specific situation.