Sustainability Reporting Data Collection and ESG Metric Research

Deliver reliable, audit-ready sustainability data and actionable ESG insights that power credible disclosures, investor engagement, and operational decarbonisation. Research Bureau provides end-to-end Sustainability Reporting Data Collection and ESG Metric Research tailored to your industry, reporting framework, and strategic priorities.

We translate complex environmental and social systems into robust datasets, clear KPIs, and defensible narratives so you can meet regulatory requirements, investor expectations, and internal sustainability goals with confidence.

Why accurate sustainability data matters (and why most programs fail)

Accurate data is the foundation of credible sustainability performance. Without reliable inputs, targets are meaningless, progress can't be tracked, and disclosures risk being challenged by auditors, investors, or regulators.

Common reasons sustainability programs underperform:

  • Fragmented data sources and inconsistent collection methods.
  • Lack of clear metric definitions and boundary setting.
  • Poor data governance and unclear roles for data owners.
  • Overreliance on estimates without documented assumptions.
  • Misalignment between strategic priorities and reported KPIs.

Research Bureau fixes these issues by combining rigorous data collection protocols, domain-specific ESG metric research, and a repeatable, auditable workflow.

What we do — Services overview

We offer modular, scalable services that cover the entire lifecycle of sustainability reporting data and ESG research.

  • Data collection design and implementation — Build automated and manual collection systems aligned to your reporting boundaries.
  • ESG metric research & KPI design — Define sector-specific, material KPIs mapped to GRI, SASB/ISSB, TCFD, EU CSRD, and voluntary frameworks.
  • Data validation, QA & uncertainty quantification — Implement controls, error tracking, and uncertainty assessments.
  • Scope 1–3 emissions calculation & modelling — From fuel combustion to complex supply chain emissions, with transparent assumptions.
  • Materiality assessment & stakeholder mapping — Identify what truly matters to your stakeholders and business value chain.
  • SDG mapping & impact alignment — Translate activities into Sustainable Development Goal contributions.
  • Assurance readiness support — Prepare datasets and documentation for third‑party assurance.
  • Custom reporting templates & dashboards — Deliverables include disclosure-ready tables, narrative text, and visualization-ready datasets.
  • Ongoing ESG research & benchmarking — Competitive benchmarking and trend analysis to inform strategy.

Our approach — disciplined, sector-aware, and transparent

We follow a five-phase methodology that ensures defensible outcomes and practical utility.

  1. Scoping & materiality
    We define reporting boundaries, legal and operational scopes, and material topics using stakeholder input and sector benchmarks.

  2. Metric selection & framework mapping
    We map KPIs to relevant frameworks (GRI, SASB/ISSB, TCFD, GHG Protocol, EU CSRD) and tailor definitions to your operations and data availability.

  3. Data collection system design
    We design workflows (manual forms, CSV templates, API pulls, metered feeds) and integrate with ERP/EMS where possible.

  4. Data validation & calculation
    We apply QA checks, emission factors, conversion rules, and uncertainty estimates. All calculations are fully documented.

  5. Reporting & continuous improvement
    We prepare disclosure-ready outputs and build feedback loops for continual data quality improvement.

Frameworks, standards and alignment

We specialise in mapping data to the full suite of commonly used frameworks. You get metrics that serve multiple purposes — regulatory filings, investor reporting, and internal KPI tracking.

  • GHG Protocol (Scope 1, 2, 3)
  • GRI Standards
  • SASB / ISSB metrics
  • TCFD climate disclosures
  • EU CSRD and ESRS mapping
  • National and regional reporting requirements
  • Voluntary disclosures (CDP, sustainability indices)

We handle crosswalks between frameworks and produce one dataset that can be sliced for different audiences.

Practical examples: KPIs and calculation methods

Below are common KPIs we deliver, how we calculate them, and typical data sources.

Environmental metrics

  • Scope 1 GHG emissions (CO2e)
    Calculation: Fuel consumption (L or m3) × fuel-specific emission factor (kg CO2e/unit).
    Sources: Fuel invoices, metered data, fleet telematics. Emission factors: IPCC, DEFRA.

  • Scope 2 emissions (market/location-based)
    Calculation: Electricity consumption (kWh) × grid emission factor or supplier-specific factor.
    Sources: Utility bills, supplier certificates.

  • Scope 3 emissions (selected categories)
    Typical categories: Purchased goods & services, upstream transport, business travel, use of sold products, end-of-life treatment.
    Approach: Hybrid of spend-based, activity-based, and supplier data, with documented assumptions.

  • Energy intensity
    KPI: kWh per unit of production or per revenue.
    Use: Tracking efficiency improvements.

  • Water withdrawal & consumption
    Sources: Meter readings, supplier data. Metrics by source (surface, groundwater, municipal).

  • Waste generation and diversion rate
    Metrics: total waste (tonnes), % diverted (recycled/reused/composted).
    Data: Site waste logs, contractor manifests.

  • Biodiversity & land use
    Metrics: area of habitat impacted, hectares restored, biodiversity risk screening results.
    Approach: GIS mapping, specialist studies, supply chain screening.

Social & governance metrics

  • Workforce composition & diversity
    Metrics: gender split, age bands, managerial diversity, employee turnover rate.
    Data: HRIS exports, payroll records.

  • Health & safety (TRIR, LTIFR)
    KPIs: Total Recordable Incident Rate (TRIR), Lost Time Injury Frequency Rate (LTIFR) per 200,000 hours.
    Data: Incident logs, contractor reporting.

  • Human rights & supply chain due diligence
    Outputs: supplier risk scores, remediation actions, percentage of suppliers screened.

  • Board & governance indicators
    Metrics: independent directors, board gender diversity, existence of risk committees, ESG-linked executive remuneration.

Sector-specific KPI examples

Different industries require tailored metrics. Below is a snapshot of KPIs we design by sector.

  • Manufacturing: energy use intensity, process emissions (kg per product), hazardous waste tonnage, freshwater withdrawal intensity.
  • Financial services: financed emissions, sustainable finance products volume, climate-risk exposure by sector.
  • Retail: scope 3 emissions from goods sold, product recyclability rates, supplier audits completed.
  • Mining & extractives: tailings management incidents, water management indices, land rehabilitation hectares.
  • Agriculture & food: scope 3 from fertilizer, crop yield per water unit, antibiotic stewardship, traceability rates.
  • Technology & data centres: PUE (Power Usage Effectiveness), renewable energy procurement, e‑waste recovery.

Data collection templates and technical deliverables

We deliver both human- and machine-readable assets so your team can repeat and scale data collection.

  • CSV templates with pre-defined fields and validation rules.
  • API mappings and integration guides (ERP, utility portals, building management systems).
  • Instructional SOPs for site teams and third-party suppliers.
  • Metadata catalogues documenting units, calculation methods, emission factors, and data owners.
  • Example CSV schema:
Field name Type Unit Description
site_id string n/a Unique site identifier
reporting_period_start date n/a Start of reporting period
reporting_period_end date n/a End of reporting period
energy_source string n/a e.g., grid_electricity, diesel
consumption_value number kWh or L Measured consumption
emission_factor_source string n/a e.g., DEFRA 2024
calculated_co2e number kg CO2e Output from calculation

We also provide example dashboards and PowerPoint-ready visuals for executive reporting.

Data quality, uncertainty, and assurance readiness

Good sustainability data is not just numbers — it's defensible, traceable, and trustworthy.

Our quality assurance stack includes:

  • Data lineage mapping to show the origin of every data point.
  • Validation rules (range checks, reasonableness checks, cross‑field consistency).
  • Uncertainty assessment and sensitivity analysis for estimated data.
  • Documentation of assumptions and emission factors.
  • Packaged evidence (bills, certificates, metering screenshots) to support each aggregate.

We prepare your datasets and documentation to be easily reviewed by third‑party assurance providers. We do not provide formal assurance ourselves, but we support the assurance process with reconciled evidence and clear workpapers.

Materiality assessment: linking ESG metrics to business impact

A good materiality assessment prioritises issues that affect value creation and stakeholder trust.

Our materiality process:

  • Stakeholder identification and engagement (investors, customers, regulators, employees).
  • Internal workshops with senior management to align on business risks and opportunities.
  • Evidence-based prioritisation using sector benchmarks and peer disclosures.
  • Mapping of material topics to KPIs and disclosure requirements.

Deliverables include a materiality matrix, interview summaries, and a prioritized list of metrics for year 1–3 reporting.

Integration with strategy and targets

Data collection without targets is reactionary. We help you convert insights into strategy.

  • Translate baseline data into science-based targets (SBTi pathway support) or internal net-zero trajectories.
  • Model interventions and forecast emissions reduction from energy efficiency, fuel switching, or supplier engagement.
  • Create KPI cascades to align site-level operational goals to corporate targets.

We provide scenario modelling to show cost, emission, and timing trade-offs for different decarbonisation pathways.

Typical engagement models and timelines

We offer flexible engagement models to meet different maturity levels.

  • Rapid Diagnostic (2–4 weeks) — High-level gap analysis, materiality review, and recommended roadmap. Ideal for organisations starting ESG disclosures.
  • Full Reporting Build (8–20 weeks) — Design and implement data collection system, calculate full-scope emissions, prepare draft disclosures.
  • Continuous Program Support (Ongoing) — Quarterly data collection, KPI tracking, benchmarking, and assurance support.

Price ranges (indicative):

  • Diagnostic: fixed-fee starting from small engagements.
  • Full build: project-based fees scaled by number of sites, complexity, and scope (from modest budgets for small enterprises to larger programs for multi-national operations).
  • Ongoing support: monthly retainers or annual contracts with staged deliverables.

Contact us for a tailored quote — share details about your sectors, number of sites, and target frameworks.

Case study snapshots (anonymised)

Below are anonymised outcomes that demonstrate how rigorous data collection changes performance and disclosures.

  • Manufacturing client: Identified 12% under‑reported fuel use at two plants via data reconciliation, corrected baseline, and implemented meter-based tracking leading to a 7% reduction in energy use in year one.
  • Financial services firm: Built financed emissions model for corporate loan book, enabling internal risk pricing and launching a green lending product.
  • Retail chain: Implemented supplier data collection across top 200 SKU suppliers, reducing scope 3 uncertainty by 40% and improving supplier engagement scores.

Each engagement delivered measurable impacts on reporting accuracy, stakeholder confidence, and decision-making.

Tools, data sources and emission factors we use

We use reputable, up-to-date sources and tools to ensure defensible calculations.

Primary emission factor sources:

  • IPCC Guidelines
  • DEFRA/UK Government conversion factors
  • IEA statistics
  • National inventories and country-specific factors

Data and tools:

  • Spreadsheet-based modelling with documented formulae
  • Python/R for bespoke analytics and scenario models
  • API integrations for utility portals and ERPs
  • GIS tools for spatial analysis (land use, biodiversity risk)
  • Third-party databases for supplier and product LCA data

We can work with your preferred tools or recommend scalable tech stacks.

Common data challenges and our mitigation strategies

  • Incomplete supplier data: We apply tiered approaches — direct supplier data, representative lifecycle datasets, and spend-based estimations with transparent uncertainty ranges.
  • Misaligned units and timeframes: We enforce standardized templates and automated unit conversion rules to prevent aggregation errors.
  • Data silos across departments: We create role-based data responsibilities and centralised metadata registries to ensure ownership and accountability.
  • High-volume transaction data: We implement sampling methodologies, automated summarisation, and anomaly detection to reduce manual burden.

Deliverables you will receive

Each engagement concludes with a clear package tailored to your needs.

Typical deliverables:

  • Consolidated, validated dataset (CSV/Excel) with metadata.
  • Calculation workpapers and emission factor library.
  • Materiality assessment and stakeholder summary.
  • Disclosure-ready KPI tables and narrative text mapped to selected frameworks.
  • Executive dashboard and recommended KPIs for board reporting.
  • Implementation roadmap for the next 12–36 months.

How to get started — simple onboarding process

  1. Share basic details: industry, number of sites, reporting frameworks, current maturity.
  2. We scope a proposal with timelines, deliverables, and price options.
  3. Kickoff workshop with data owners and sustainability leads.
  4. Implementation, iterative validation, and delivery of final outputs.

Send a brief project outline through the contact form, click the WhatsApp icon on this page to message us, or email [email protected] for a fast response.

Sample reporting extract (illustrative)

KPI Unit Year 1 Year 2 (target) Method
Scope 1 emissions tCO2e 12,345 11,107 (-10%) Direct fuel combustion records × DEFRA factors
Scope 2 (location-based) tCO2e 4,567 4,106 (-10%) Electricity consumption × national grid factor
Scope 3 (purchased goods) tCO2e 25,000 23,750 (-5%) Supplier data + spend-based estimates
Energy intensity kWh/unit 150 130 Metered energy / production volume
Water consumption m3 75,000 67,500 Site meters and supply invoices

This format is ready for inclusion into sustainability reports and investor disclosures.

Pricing considerations and ROI

Cost drivers:

  • Number of sites and systems to integrate.
  • Scope breadth (full scope 1–3 vs selective categories).
  • Need for primary supplier engagement and LCA studies.
  • Reporting frameworks and assurance requirements.

Return on investment:

  • Improved investor confidence and lower cost of capital risk.
  • Operational savings from energy and resource efficiency identified through data analysis.
  • Reduced regulatory and reputational risk via defensible disclosures.
  • Ability to unlock green financing and sustainability-linked loans.

We provide transparent fixed-fee proposals and modular options so you can scale engagement with predictable costs.

Frequently Asked Questions

  • How do you handle scope 3 emissions if suppliers don't provide data?
    We use a hierarchy: direct supplier data where available, product LCA datasets, and spend/activity-based methods with documented uncertainty. We prioritise categories by materiality.

  • Can you help with ESR/CSRD or other regulatory filings?
    Yes — we map and prepare metrics for EU CSRD/ESRS, SASB/ISSB alignments, and national requirements. We do not provide legal or statutory assurance but prepare assurance-ready documentation.

  • Do you integrate with our ERP or BMS?
    Yes. We provide API mappings and integration guidance and can work with IT teams to automate data flows where feasible.

  • What evidence will you require?
    Typical evidence includes utility bills, fuel invoices, metered data exports, HR reports, supplier confirmations, and contractual documents. We document all evidence sources.

Why choose Research Bureau?

  • Research-led expertise — We combine domain research, recognised emission factor sources, and sector benchmarks to produce defensible outcomes.
  • Practical implementation — Our work is built for repeatability and operational use, not just report writing.
  • Audit-ready documentation — Calculations, assumptions, and evidence stacks are organised for external reviewers.
  • Customised for your industry — We design KPIs and data workflows that reflect your operational realities.
  • Ongoing support — From one-off builds to continuous program management, we scale with you.

Our team brings experience across environmental science, sustainability accounting, data engineering, and supply chain research. We prioritise clarity, transparency, and business relevance in every project.

Next steps — request a tailored quote

Share a brief outline of your needs via our contact form, click the WhatsApp icon on this page to chat with us instantly, or email [email protected]. Include:

  • Industry/sector
  • Number of sites and geographies
  • Which frameworks you need (e.g., GRI, SASB, CSRD)
  • Preliminary scope (Scope 1, 2, full Scope 3, social metrics)

We will respond with a no-obligation proposal and timeline within 48 hours.

Final note on credibility and transparency

Sustainability reporting succeeds when stakeholders trust the data and when metrics drive action. Research Bureau delivers the rigorous research, transparent methodologies, and practical systems that allow organisations to report confidently and improve performance year over year.

Contact us today to begin building a robust, defensible ESG data program that supports strategy, compliance, and stakeholder trust.