Contacts

ESG Data Analytics and Reporting Services

ESG Data Analytics Services for Sustainability Reporting

With innovation and sustainability at the core of its mission, CRIF supports and accelerates the green transition by providing technology, data, and expertise to the community.

Through the European Green Deal, the European Union has set the goal of reducing emissions by 55% by 2030 and achieving climate neutrality by 2050 in order to promote sustainable development.

The green transition requires the active involvement of all stakeholders, including support from the banking and insurance sectors, corporate strategies and investments, and the adoption of sustainable behaviors by individuals. In the banking and financial markets, information quality is a critical differentiating factor. This competitive requirement is a key success factor in the effective management of ESG risks.

Key Benefits

  • For Businesses

    Transition towards sustainability through data-driven insights that help identify a company's ESG profile.

     

  • For Financial Institutions

    Integration of ESG data into internal processes to achieve sustainable finance goals and comply with ESG regulatory requirements.

     

Solution Details

CRIF’s ESG Package enables financial institutions to integrate sustainability assessment and ESG risk evaluation across all key business processes.

The package includes:

  • ESG Score: Together with its components, it is an individual indicator that measures the level of compliance with ESG criteria recommended by the EBA and can be calculated for 100% of European non-financial companies.
  • ESG Factors: The criteria used to calculate the ESG Score.
  • Physical Risk: A location- and sector-specific score designed to assess exposure to physical risks.
  • GHG Emissions: Scope 1, 2, and 3 emissions data, along with the calculation methodology.
  • Transition Risk: Geo-sectoral scores used to assess financial risks arising from the green transition.
  • EU Taxonomy: Sector-based proxies for taxonomy alignment and eligibility.
  • Additional Pillar III Variables: An indicator identifying companies operating in polluting sectors that are excluded from the Paris Agreements.
  • Raw ESG Data: More than 100 additional ESG data points to support the independent development of ESG analyses.

La suite Climate Risk Analytics de CRIF permite analizar los impactos a corto y largo plazo de los riesgos físicos y de transición sobre las empresas.

Los ESG Analytics de CRIF se basan en datos abiertos procesados mediante técnicas de machine learning para evaluar todas las empresas (incluidas las pymes) y los comportamientos de los individuos dentro de la Unión Europea: desde el máximo nivel de granularidad (ESG Data Lake) hasta la síntesis completa (ESG Scores).

CRIF’s ESG Consulting team brings together certified ESG analysts, data scientists, and risk management and process consultants who help clients integrate ESG components into their operating framework—including business models, internal control systems, disclosure, and reporting—and define and implement effective green action plans.