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What is ESG Data?: Why It Matters & How to Use It

What is ESG Data?: Why It Matters & How to Use It

29th October 2026

Supply chain 
disruptions cost companies

$1.6 trillion

in annual revenue growth potential.

Tracking ESG data is now a standard part of how companies operate. Regulators expect it. Investors ask for it. Procurement and sustainability teams rely on it to assess supplier performance and manage risk. 99% of S&P 500 firms report ESG information, and virtually all institutional investors review ESG disclosures when planning investments​. 

This surge in ESG transparency is driven by stakeholders – regulators, investors, customers, and business partners – who expect data-backed proof of sustainable and ethical practices. For compliance and sustainability professionals, the message is clear: effective ESG data management is essential for both meeting obligations and gaining a competitive edge.

If you’re responsible for ESG, compliance or supply chain management, then you’re already dealing with ESG data. The challenge is usually less about collecting ESG data but more about making it usable. You need consistent, comparable and auditable information that’s easy to report on and easy to act on. This page explores what ESG data includes, how companies use it across compliance and operations, and where EcoVadis can help.

Key Takeaways 

  • ESG data gives organizations a reliable way to manage risk, meet disclosure requirments and demonstrate accountability to critical stakeholders.
  • Effective ESG data management starts with consistent collection and clear governance to support credible, auditable reporting.
  • Understanding common data challenges is the first step toward addressing them and building a more resilient ESG program.
  • EcoVadis helps organizations turn well-managed data into verified ESG ratings, actionable scorecards and supply chain intelligence that drives improvement.

What is ESG Data?

ESG data refers to information related to a company’s environmental impact, social responsibility and governance practices. It encompasses a wide range of metrics and disclosures that indicate how an organization manages issues like climate change, resource use, workforce welfare, community impact, ethics and oversight. This data provides a picture of corporate performance beyond financial results.

Examples of ESG metrics include:

  • Environmental data: Greenhouse gas emissions, energy consumption, water usage, waste and recycling rates, pollution incidents and climate change impacts.
  • Social data: Workforce health and safety statistics, employee diversity and inclusion metrics, labor practices (e.g., wages, working hours), community engagement, customer satisfaction and human rights assessments, such as absence of child or modern slavery in the supply chain.
  • Governance data: Board composition (e.g., diversity, independence), executive compensation, anti-corruption policies, tax transparency, data privacy practices and supply chain due diligence processes.

You’ll typically deal with two types of ESG data: quantitative metrics and qualitative disclosures.

  • Quantitative metrics include things like kilowatt-hours of electricity used, tonnes of carbon dioxide emitted or percentage of women in management roles.
  • Qualitative disclosures cover policies, procedures and actions, as well as how you manage these topics, not just the outcomes.

Infographic of the three pillars of ESG: Environmental, Social, and Governance, listing key focus areas for each.

Where Does ESG Data Come From?

Organizations collect ESG data from numerous internal and external sources, including:

  • ERP systems, HR platforms and utility billing
  • Operational monitoring tools and IoT sensors that track energy, emissions or water use in real time
  • Supplier questionnaires and self-reported assessments
  • Third-party ratings platforms and independent audits

Most organizations align ESG data collection with reporting frameworks like the Global Reporting Initiative (GRI), the Sustainability Accounting Standards Board (SASB) or the Greenhouse Gas Protocol. These standards help you structure your data in a way that meets external expectations, especially for mandatory reports.

The goal is to have ESG data that is reliable, consistent and usable. That means data you can report to regulators, share with stakeholders or use internally to track performance and identify where to focus improvements.

ESG Data Use Cases

ESG data creates value when it’s used across compliance, procurement, reporting and performance improvement. Organizations aren’t just collecting information; they’re using it to manage risk, strengthen supplier relationships and meet growing disclosure obligations. Common use cases include:

  • Regulatory compliance: Structuring emissions, supply chain and diversity data to meet mandatory disclosure requirements across major markets.
  • Supplier assessment: Using ESG scores and assessments to evaluate supplier performance, identify high-risk relationships and drive improvement.
  • Investor reporting: Providing consistent, verifiable ESG metrics that meet institutional investor expectations and support access to ESG-focused capital.
  • Internal performance tracking: Monitoring ESG indicators across sites, regions or business units to measure progress against targets and flag issues early.
  • Procurement decisions: Incorporating ESG performance into supplier scorecards and sourcing criteria to support responsible purchasing.

When ESG performance is visible and comparable, it becomes easier to act on.

 

 

Why ESG Data Matters

ESG data does more than satisfy reporting requirements. It gives organizations a reliable basis for managing risk, demonstrating accountability and making better decisions across compliance, procurement and investor relations. 

Regulatory Compliance and Disclosure

Governments are increasingly introducing ESG regulations across most major markets. To meet these requirements, you need accurate, structured data. That includes emissions figures, supply chain risks and diversity metrics. Most regulations don’t just ask for the data, they also expect you to follow recognized standards and, in many cases, have the data independently reviewed.

Collecting and maintaining this data protects your organization from fines, reputational issues, and legal exposure. It also makes it easier to meet new requirements as they’re rolled out, without rebuilding your reporting process each time.

Supplier Performance and Responsible Sourcing

Most environmental and social risks are found within your supply chain. That’s where a large share of emissions, human rights issues and compliance risks occur. ESG data helps you understand how suppliers are performing and where you need to act.

Collecting data through supplier assessments or ratings gives you visibility into emissions, working conditions and due diligence practices. It helps you identify high-risk suppliers and follow up with clear improvement actions.

ESG data is useful for procurement, too. You can include sustainability metrics in supplier scorecards to track progress and guide decisions. It also helps with reporting. Many supply chain regulations, like those focused on forced labor or conflict minerals, require you to show what action you have taken. Without reliable data, it’s impossible.

Investor Expectations and Reputation

Most investors now look at ESG data when assessing performance and risk. They want to see metrics on emissions, governance and social policies, ideally reported in a verifiable way. Without this data, your organization may be excluded from ESG-focused funds or seen as high risk.

Strong ESG data also helps protect your organization’s reputation. Ratings and public disclosures are easy to compare. If your ESG reporting is weak or inconsistent, stakeholders may assume you’re not managing these issues. That can lead to negative attention, lost business or lower investor confidence.

Risk Mitigation and Resilience

ESG issues carry direct operational and financial risks. Flooding, heatwaves and resource shortages affect sites and suppliers. Labor disputes, safety incidents or weak ethics controls create legal exposure and reputational damage. ESG data helps you identify and manage these risks early.

For example, if injury rates are rising at a site, that’s a sign to intervene before someone gets seriously hurt. If you’re sourcing from a region under water stress, you may want to adjust your supply mix. Tracking indicators like audit results, compliance breaches or whistleblower activity helps flag governance risks before they escalate.

Organizations with consistent ESG data tend to respond faster and recover quickly. They may also get better financing terms because investors and insurers often view strong ESG performance as a sign of lower risk. That can reduce your cost of capital or insurance premiums.

Benchmarking and Competitive Insight

ESG data also helps you compare performance. Internally, it shows how different sites, regions or teams are tracking on emissions, safety or diversity. That makes it easier to find what’s working and replicate it. It also shows where support or investment is needed.

Externally, ESG ratings and scorecards give you a reference point against industry peers. If your organization is scoring below average, that’s a clear signal that work needs to be done. If you’re ahead, that’s something you can share with stakeholders.

ESG Data Challenges 

ESG data is valuable, but it can be difficult to manage well. Most organizations run into the same structural problems regardless of size or industry.

  • Data fragmentation: ESG data is dispersed across departments, systems and partners that don’t automatically communicate with each other, making it hard to establish a reliable view of performance.
  • Evolving standards: Companies are often navigating multiple evolving ESG frameworks, creating ongoing compliance and alignment challenges.
  • Hard-to-quantify metrics: Many ESG topics are qualitative by nature. Translating issues like governance culture or human rights practices into measurable data points is a significant hurdle.
  • Manual processes: Spreadsheets and manual data entry are common, increasing the risk of errors and making it harder to scale reporting as requirements grow.
  • Weak data governance: Without clear ownership, ESG data collection is often inconsistent. Duplication, gaps and conflicting figures are difficult to reconcile.
  • Audit readiness gaps: Poor documentation and limited traceability make it difficult to stand behind your data when it is reviewed externally.

The organizations that manage ESG data well tend to share one thing in common: a strategic approach to data governance from the start.

How to Manage ESG Data Effectively

Collecting ESG data is only the starting point. To get value from it, you need a consistent approach to how data is gathered, governed, verified and reported. The following practices apply whether you’re building a program from scratch or strengthening an existing one.

Circular diagram showing four steps to manage ESG data: collect, manage and centralize, confirm and verify, and analyze.

1. ESG Data Collection

Good ESG data starts with knowing what to collect and where to get it. Focus on metrics that are measurable, consistent across reporting periods and aligned with recognized frameworks like GRI, SASB or the Greenhouse Gas Protocol.

  • Environmental: Start with directly measurable data, like energy consumption, water usage and greenhouse gas emissions. Follow the Greenhouse Gas Protocol and separate scope 1, 2 and 3 emissions. Keep units consistent across locations and avoid estimates unless you have a clear, documented methodology behind them.
  • Social: Pull from HR systems, safety reports and workforce surveys. Where surveys are used, back them up with objective data like turnover rates or injury statistics. Handle sensitive demographic data carefully by anonymizing responses and being clear about what’s optional.
  • Governance: Tie governance data to documented processes. Board minutes, signed policies, audit records and training logs are stronger sources than policy statements alone. Focus on what has been implemented and tracked, not just what’s intended.

2. ESG Data Management

Managing ESG data well means making it consistent, traceable and accessible across your organization. That requires clear ownership, standardized processes and a solid infrastructure to support them.

A mature approach to ESG data management includes centralizing data storage so teams across functions and regions are working from the same source. It means standardizing metrics across frameworks to avoid inconsistencies when reporting to different stakeholders. And it means building in controls like version tracking and regular cross-checks against previous reporting periods or operational benchmarks.

Technology is at the center of all of this. Automated data collection reduces manual entry and the errors that come with it. When ESG integration links ESG data with core business processes like procurement, finance and supply chain, sustainability stops being a reporting exercise and starts informing high-level decisions.

3. Data Verification

Accurate ESG data requires more than good collection practices. Without verification, even organized data can lose credibility when it reaches regulators, investors or business partners.

Internal verification is the foundation. That means cross-checking inputs against source data, auditing records regularly and using automated validation rules to flag outliers. Good internal controls also include tracking who entered data, maintaining version history on important documents and comparing reported figures against prior periods.

Third-party verification adds an additional layer of assurance. Independent review of your ESG data,  particularly emissions and social metrics, increases credibility and helps protect against greenwashing claims. Some regulatory frameworks now require external assurance for certain disclosures. Even where it isn’t mandated, third-party validation signals to stakeholders that your data can be trusted.

4. ESG Reporting 

ESG reporting involves disclosing how your company performs on critical ESG topics. It gives regulators, investors, customers and other stakeholders a clear view into how you’re managing risks, meeting standards and making progress on sustainability issues.

Verified ESG data is what makes reporting credible. When the figures in your disclosures are traceable and independently reviewed, stakeholders can rely on them. That matters because ESG reports are increasingly subject to scrutiny from regulators monitoring compliance and investors assessing long-term risk. Structured, well-governed data also makes it easier to report across multiple regulatory frameworks.

5. ESG Ratings

ESG ratings translate your data into an assessment of how your organization manages ESG risks relative to industry peers. Investors use them to evaluate long-term risk, and ratings increasingly influence access to capital and borrowing rates.

For organizations looking to improve sustainability performance, a rating provides a clear starting point. It shows where you’re doing well and where gaps exist across critical ESG factors. That makes it easier to build a focused improvement roadmap.

EcoVadis Ratings give buyers and suppliers a verified, comparable view of ESG performance across the supply chain. Each scorecard covers environment, labor and human rights, ethics and sustainable procurement, with clear improvement guidance built in.

Turn ESG Data into Action with EcoVadis

EcoVadis helps you collect, assess, and act on ESG data across your organization and supply chain. If you’re trying to build a consistent, reliable view of sustainability performance, our tools can support that at scale.

  • The EcoVadis Ratings platform gives you a structured, third-party view of ESG performance for both your organization and your suppliers. Each scorecard evaluates performance across environmental, social, ethics and governance themes, with supporting documents and improvement areas. Meet reporting requirements, run supplier assessments and benchmark performance across regions.
  • IQ Plus helps you screen and prioritize your supply base. It maps ESG risk across thousands of suppliers using predictive data, not just self-reporting. That means you can focus your attention on high-risk or low-performing suppliers – and avoid spending time where there’s low exposure.
  • The Carbon Action Manager supports emissions tracking and supplier engagement on climate targets. You can use it to estimate emissions, collect scope 1, 2 and 3 data, and track supplier decarbonization progress. The data feeds into dashboards you can use for internal reporting, regulatory disclosures and supplier development.

EcoVadis solutions are designed to support action, not just reporting. You get clear data, practical improvement guidance and dashboards to monitor progress over time. If you’re looking for ESG data you can use across procurement and compliance, we can help.

Ready to use your ESG data more effectively? Talk to us about how EcoVadis can support your program.

FAQs

Q: How is ESG data used in supplier management?
A: Procurement teams use ESG data to evaluate supplier risk, set performance expectations and track improvement over time. It helps identify suppliers with things like weak labor practices, high emissions or governance gaps before those issues create disruption. ESG data also supports due diligence requirements under supply chain regulations that require companies to demonstrate active oversight, not just policy commitments.

Q: What ESG data do investors look for?

A: Investors assess ESG data to evaluate long-term risk and organizational accountability. While priorities vary by fund and strategy, most institutional investors focus on:

  • Emissions data: Scope 1, 2 and 3 greenhouse gas figures, reduction targets and progress against them
  • Governance structures: Board composition, executive compensation, anti-corruption controls and data privacy practices
  • Social risk indicators: Labor practices, human rights due diligence, workforce safety records and supply chain oversight
  • Reporting consistency: Metrics that are comparable across periods and aligned with recognized frameworks like GRI or SASB
  • Data governance: Evidence that ESG figures are well-managed, traceable and independently verified

Q: What is third-party ESG verification?

A: Third-party ESG verification is an independent review of a company’s ESG data by an external auditor or ratings provider. It confirms that reported metrics are accurate, traceable and supported by documentation. Verification strengthens the credibility of ESG disclosures, reduces greenwashing risk and is increasingly required under formal reporting frameworks.

Q: How often should ESG data be reported?

A: Most regulatory frameworks require annual ESG disclosures, aligned with financial reporting cycles. But formal reporting schedules and stakeholder expectations are two different things. Investors, customers and business partners increasingly expect ongoing visibility into ESG performance, not just a yearly summary. Organizations that communicate progress regularly, through updates, scorecards or sustainability dashboards, tend to build stronger stakeholder confidence over time.