Our CSRD Data Collection Reporting Support Services
CSRD Readiness Assessment & Scoping
We assess your organization’s CSRD applicability, reporting obligations, and sustainability reporting maturity. Our experts identify in-scope entities, applicable ESRS requirements, reporting boundaries, key performance indicators, and priority focus areas, creating a structured roadmap that accelerates compliance while reducing implementation complexity.
Double Materiality Assessment
Our team conducts comprehensive DMAs aligned with CSRD and ESRS requirements. We facilitate stakeholder engagement, evaluate impact, risk, and opportunity dimensions, and document material topics with clear evidence to support transparent, defensible sustainability reporting.
ESRS Gap Analysis & Disclosure Mapping
We evaluate your existing ESG disclosures, policies, and data against ESRS requirements to identify reporting gaps. Our detailed disclosure mapping helps prioritize actions, define data requirements, and establish a clear path toward complete and compliant CSRD reporting.
CSRD Data Collection Framework Design
SGA designs scalable CSRD data collection frameworks tailored to your operating model. We define data owners, reporting workflows, governance structures, reporting frequencies, and control mechanisms to ensure consistent, traceable, and audit-ready sustainability data across the organization.
Sustainability Data Management & Validation
We help organizations establish reliable sustainability data management processes by integrating data from multiple sources, validating data quality, and implementing quality assurance checks. Our approach improves data accuracy, consistency, and transparency while strengthening confidence in CSRD disclosures.
ESRS Disclosure Drafting & Sustainability Report Support
Our sustainability experts support the preparation of ESRS-aligned disclosures by transforming validated ESG data into clear, compliant, and stakeholder-ready reports. We ensure disclosures align with regulatory expectations, reflect organizational performance accurately, and support assurance and audit requirements.
Standard
Topic Area
Key Disclosure Focus
ESRS 1
General Requirements
Reporting principles, value chain, time horizons
ESRS 2
General Disclosures
Governance, strategy, materiality, metrics & targets
ESRS E1
Climate Change
GHG emissions (Scope 1–3), climate risks, net-zero targets
ESRS E2
Pollution
Air, water, soil pollution; hazardous substances
ESRS E3
Water & Marine
Water consumption, marine ecosystem impacts
ESRS E4
Biodiversity & Ecosystems
Biodiversity footprint, ecosystem degradation
ESRS E5
Resource Use & Circular Economy
Material flows, waste, circular economy
ESRS S1
Own Workforce
Working conditions, pay equity, health & safety
ESRS S2
Workers in Value Chain
Supply chain labour standards, human rights
ESRS S3
Affected Communities
Community impact, land rights, indigenous peoples
ESRS S4
Consumers & End-Users
Product safety, responsible marketing, data privacy
ESRS G1
Business Conduct
Anti-bribery, lobbying, supplier relationships
Our CSRD Data Collection Process
Our CSRD data collection process enables organizations to systematically gather, validate, and organize sustainability information aligned with ESRS requirements. Through a structured approach, we help ensure that ESG data is accurate, traceable, and ready for reporting, supporting effective disclosure and decision-making.
We begin by identifying applicable CSRD and ESRS requirements based on the companies’ sector, operations, and reporting obligations. This includes mapping disclosure requirements, defining reporting boundaries, and establishing the sustainability topics, metrics, and data points required for effective ESRS data collection.
We identify relevant internal and external data sources, including sustainability teams, finance functions, operations, HR, procurement, and other business units. Clear data ownership is established to ensure accountability, streamline information gathering, and improve the consistency and reliability of ESG data inputs.
Data is collected across relevant ESG topics using standardized templates and processes. Quantitative metrics, qualitative disclosures, policies, and supporting documentation are organized into a structured format to enable efficient analysis, validation, and alignment with ESRS reporting requirements.
Collected ESG information undergoes quality checks to assess completeness, accuracy, consistency, and supporting evidence. Data validation processes help identify gaps, inconsistencies, and potential reporting risks, ensuring that sustainability disclosures are based on reliable and verifiable information.
The collected information is mapped against relevant ESRS disclosure requirements to determine compliance readiness. This step ensures that reported metrics, narratives, and evidence align with applicable standards, including material topics identified through the organization’s DMA.
The final stage involves consolidating validated ESG information into a reporting-ready format. Structured datasets and documentation enable organizations to efficiently prepare CSRD disclosures, support assurance processes, and maintain a reliable foundation for ongoing sustainability reporting and future regulatory requirements.
We begin by identifying applicable CSRD and ESRS requirements based on the companies’ sector, operations, and reporting obligations. This includes mapping disclosure requirements, defining reporting boundaries, and establishing the sustainability topics, metrics, and data points required for effective ESRS data collection.
We identify relevant internal and external data sources, including sustainability teams, finance functions, operations, HR, procurement, and other business units. Clear data ownership is established to ensure accountability, streamline information gathering, and improve the consistency and reliability of ESG data inputs.
Data is collected across relevant ESG topics using standardized templates and processes. Quantitative metrics, qualitative disclosures, policies, and supporting documentation are organized into a structured format to enable efficient analysis, validation, and alignment with ESRS reporting requirements.
Collected ESG information undergoes quality checks to assess completeness, accuracy, consistency, and supporting evidence. Data validation processes help identify gaps, inconsistencies, and potential reporting risks, ensuring that sustainability disclosures are based on reliable and verifiable information.
The collected information is mapped against relevant ESRS disclosure requirements to determine compliance readiness. This step ensures that reported metrics, narratives, and evidence align with applicable standards, including material topics identified through the organization’s DMA.
The final stage involves consolidating validated ESG information into a reporting-ready format. Structured datasets and documentation enable organizations to efficiently prepare CSRD disclosures, support assurance processes, and maintain a reliable foundation for ongoing sustainability reporting and future regulatory requirements.
Key Benefits of SGA’s CSRD Reporting Support
SGA streamlines CSRD data collection and reporting through automation, structured data processes, advanced validation, and sustainability expertise. Our approach helps companies improve data reliability, enhance reporting efficiency, and establish a strong foundation for compliant, transparent, and audit-ready sustainability disclosures.
The Role of AI and Technology in CSRD Data Collection
AI and technology are transforming CSRD data collection by enabling faster data capture, improved accuracy, and scalable sustainability reporting processes. SGA leverages advanced data capabilities to automate ESG information management, strengthen validation, identify reporting gaps, and support organizations in preparing reliable, audit-ready CSRD disclosures.
Why Choose SGA for CSRD Reporting Services?
We provide comprehensive CSRD reporting support covering data collection, validation, ESRS mapping, disclosure preparation, and reporting workflows. Our integrated approach helps organizations manage the complete sustainability reporting life cycle with greater efficiency and consistency.
We leverage advanced analytics, automation, and AI-enabled data solutions to streamline ESG data management. Our technology-driven approach improves data extraction, validation, structuring, and reporting accuracy while reducing manual effort across processes.
Our teams bring strong knowledge of ESRS requirements, sustainability reporting frameworks, and evolving regulatory expectations. We help organizations align their sustainability data and disclosures with CSRD requirements through structured, standards-based processes.
We focus on data quality, traceability, documentation, and governance to ensure sustainability information is reliable and audit-ready. Our processes help organizations maintain confidence in their CSRD disclosures and support assurance requirements.
SGA delivers flexible CSRD reporting services that can scale across business units, geographies, and reporting requirements. Our white-label delivery model enables organizations and partners to access reliable sustainability data capabilities under their preferred workflows.
Our sustainability data expertise supports alignment across multiple ESG reporting frameworks and standards. We help organizations create consistent data structures that enable efficient reporting across CSRD, ESRS, and other sustainability disclosure requirements.
End-to-End CSRD Capability
We provide comprehensive CSRD reporting support covering data collection, validation, ESRS mapping, disclosure preparation, and reporting workflows. Our integrated approach helps organizations manage the complete sustainability reporting life cycle with greater efficiency and consistency.
AI-Powered Data Infrastructure
We leverage advanced analytics, automation, and AI-enabled data solutions to streamline ESG data management. Our technology-driven approach improves data extraction, validation, structuring, and reporting accuracy while reducing manual effort across processes.
Deep ESRS & Regulatory Expertise
Our teams bring strong knowledge of ESRS requirements, sustainability reporting frameworks, and evolving regulatory expectations. We help organizations align their sustainability data and disclosures with CSRD requirements through structured, standards-based processes.
Assurance-Ready Delivery
We focus on data quality, traceability, documentation, and governance to ensure sustainability information is reliable and audit-ready. Our processes help organizations maintain confidence in their CSRD disclosures and support assurance requirements.
Scalable, White-Label Delivery
SGA delivers flexible CSRD reporting services that can scale across business units, geographies, and reporting requirements. Our white-label delivery model enables organizations and partners to access reliable sustainability data capabilities under their preferred workflows.
Multi-Framework Alignment
Our sustainability data expertise supports alignment across multiple ESG reporting frameworks and standards. We help organizations create consistent data structures that enable efficient reporting across CSRD, ESRS, and other sustainability disclosure requirements.
Case Studies
Enhancing Scope 3 Inventory Accuracy: Transitioning From Spend-Based to Hybrid Carbon Accounting
Business Situation
A pharmaceutical manufacturer sought to strengthen the accuracy and transparency of its Scope 3 greenhouse gas (GHG) inventory by incorporating activity-based emissions
The Future of ESG Ratings: Combining Human Expertise with AI-Powered Data Operations
Business Situation
A leading global ESG ratings and research organization was experiencing growing pressure to scale its ESG data operations amid increasing demand for sustainability
FAQs – CSRD Data Collection & Reporting Support
CSRD requires companies to collect comprehensive qualitative and quantitative ESG data across 12 sector-agnostic ESRS. Under EFRAG guidelines, in-scope organizations must gather metrics spanning Environmental (Scope 1–3 GHG emissions, energy, water, circular economy, biodiversity), Social (own workforce demographics, pay equity, supply chain human rights), and Governance (business conduct, whistleblowing, anti-corruption) factors based on their material impacts.
A DMA is a mandatory requirement under CSRD that determines which ESRS topical standards an organization must disclose. It evaluates two distinct perspectives: Impact Materiality (how corporate operations affect society and the environment) and Financial Materiality (how external ESG risks and opportunities influence the company’s financial performance, cash flows, and valuation).
The duration of CSRD data collection depends on an organization’s size, reporting scope, and data maturity. Initial implementation typically takes several months as companies identify data sources, establish governance processes, conduct materiality assessments, and align reporting with ESRS. Future reporting cycles become more efficient with standardized processes and technology.
The CSRD replaces and significantly expands the Non-Financial Reporting Directive (NFRD) by mandating standardized, audit-ready ESRS disclosures. Unlike NFRD, the CSRD expands the reporting scope to over 50,000 companies, mandates third-party limited assurance, requires digital iXBRL markup tagging under the ESEF format, and incorporates double materiality.
Limited assurance is a mandatory third-party audit that verifies a company’s CSRD sustainability disclosures are free from material misstatements. An independent auditor evaluates data collection methodologies, internal controls, and calculation logic, providing stakeholders with verifiable confidence as the EU transitions toward stricter “reasonable assurance” standards.
Yes, existing GRI or TCFD framework disclosures provide a strong foundation, but they must be re-mapped to satisfy complete ESRS requirements. Because ESRS incorporates aligned metrics from GRI, TCFD, and ISSB, organizations can leverage historical data while conducting an ESRS gap analysis to address missing disclosure requirements and double materiality rules.