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ESG Data Management for ESG Reporting

Navigate ESG Data Management and Reporting seamlessly with our expert guidance.
Designed to address the ESG reporting and data management requirements.

ESG reporting entails the comprehensive disclosure of a company's performance across environmental, social, and governance (ESG) factors. In recent years, ESG reporting has become a vital element of the corporate transparency and responsibility. European banks and insurers must navigate a complex web of regulatory requirements governing ESG reporting. By gaining a comprehensive understanding of the scope, timelines, reporting frameworks, and obligations associated with initiatives like CSR reporting, the EU Taxonomy, Pillar 3 ESG reporting, and CSRD, financial institutions can strategically align their approaches and disclosures with evolving standards and expectations of stakeholders.
Effective ESG data management is essential for accurate and transparent ESG reporting, enabling organizations to demonstrate their commitment to sustainability, social responsibility, and ethical governance. Simplifying ESG data management, including the development of a central ESG data warehouse, robust data architecture, comprehensive data dictionary, methodologies for addressing data gaps, and stringent data governance, is essential for managing and disclosing ESG risks.

Finalyse possesses extensive expertise in sustainability and climate-related disclosures, enabling us to assist financial institutions in navigating the evolving ESG Reporting and ESG Data Management landscape.

How does Finalyse address your challenges?

ESG Data Management

We develop a robust framework, data architecture and model to ensure the integrity and reliability of ESG data.

Data Collection and Integration

We help integrate data from multiple sources to simplify report creation.

Creation of Data Dictionary

We craft a comprehensive data dictionary to encompass variables, delineating their definitions and units. We also do the advanced taxonomy mapping to align with various disclosure formats.


We conduct workshops for senior stakeholders to promote an understanding of the key principles, reporting obligations, and timelines within the ESG regulation landscape.

Disclosure Accuracy

For the Report verification, we use comprehensive and agile approval workflows.


We establish a clear governance structure with defined roles and responsibilities within the organisation related to ESG data management and reporting.

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How does it work in practice?

Environmental, Social, and Governance (ESG) reporting has emerged as a critical aspect of corporate transparency and sustainability. Across the globe, companies are increasingly recognising the imperative of disclosing their performance in these areas to stakeholders. ESG reporting goes beyond financial metrics, providing insights into a company's impact on the environment, society, and governance practices.
For financial institutions seeking to disclose ESG information, accuracy, automation, and auditability lay at the core of sound ESG reporting practices. 

A holistic approach to ESG data management, including investment in technology, development of data methodologies, data governance frameworks, capacity building, stakeholder engagement, and collaboration with industry peers and stakeholders, is required.

Below is a comprehensive guide and best practices that provide a structured roadmap to assist financial institutions in effective ESG data management, which is required to master ESG reporting.



Additionally, below illustration highlights the automation and data framework set-up required for effective ESG Data Management:


Key Features

  1. Ensure efficient ESG data management and reporting.
  2. Govern gaps related to ESG data and prioritise action plans to mitigate them. To address missing data, build central or local proxy methodologies.
  3. Define standardised frameworks to ensure data quality.
  4. Model data related to financed asset (compared to collateral data use for credit risk)
  5. Ensure consistency amongst financial and sustainability regulatory reports. (For Instance, alignment with Corep or Finrep)
  6. Benefit from Finalyse’s unique approach, tailored to the specific needs and circumstances of each financial institution.
Principal Consultant - Data Management Framework Implementation Expert

Hugo is a Principal Consultant in Finalyse Brussels. He has a wide knowledge and expertise in financial products, valuation algorithms, reporting and regulatory issues. He combines in depth knowledge of banking financial risks and regulations with a wide understanding of the data, IT infrastructure and processes underneath. Hugo has been involved in multiple Risk and Regulatory Reporting implementation projects such as RWA calculation for credit risk, EAD calculation under SACCR, automation of internal reports for ALM and implementation of data governance to comply with BCBS239. Hugo is an experienced Agile project manager who stands-out for his dynamism, adaptability and interpersonal skills.

Alvin Mehmeti
Senior Consultant

Alvin is a Senior Consultant based in Brussels. He brings a wealth of experience in banking knowledge and IT applications. He has been contributing to developing Finalyse's data management toolkit and ESG reporting infrastructure, leveraging expertise in BCBS239. His proficiency extends to ESG metrics, regulatory reporting, and data quality management, ensuring clients receive top-tier solutions for their complex needs. With a strong foundation in both the technical and regulatory aspects of banking, Alvin is dedicated to help organisations navigate and excel in today's challenging financial landscape and regulatory requirements.

Meghna Jain
Consultant – Expert Climate Risk

Meghna Jain is a Consultant based in Finalyse Brussels with expertise in identification and assessment of climate-related risks across portfolios and integrating climate-related risks within the overall risk systems of the financial institution. She has extensive experience with a large European Bank in building scenarios, carrying out environmental risk assessments, setting risk appetites and working with transition risk models for stress testing.