ESG Data Analysis Services for Sustainability Reporting

With innovation and sustainability at the heart of its mission, CRIF facilitates and accelerates the green transition by providing the community with technology, data, and knowledge.

The European Union, through the Green Deal, has set a target of reducing emissions by 55% by 2030 and achieving climate neutrality by 2050 to promote sustainable development.

The green transition requires an active role for all those involved: Support of the financial and insurance sectors, business strategies and investments, and the adoption of sustainable behavior by individuals. To excel in the banking and financial market, quality information is essential. This competitive requirement is a key success factor in ESG risk management.

Covered industries

Banking

Insurance

Telco & Media

Energy & Utilities

Manufacturing

Services

Key benefits

For companies

Accelerated transition to sustainability: by identifying the ESG profile, practical actions can be taken to reach ESG targets and the results achieved can be disclosed.

For financial institutions

Integration of ESG into the business model: comply with policies, risk management and disclosure requirements, to achieve sustainable finance targets and increase business.

For individuals

Increased understanding of how sustainable their behavior is to encourage changes to their consumption, investment and borrowing habits.

Solution details

ESG Bundle

The CRIF ESG bundle enables financial players to integrate the sustainability assessment into all their core processes.

The bundle consists of:

ESG Score: along with its components, it is a single-name indicator that measures the level of compliance with the ESG criteria suggested by the EBA, and is calculated for 100% of Italian companies;
ESG factors: the criteria used to calculate the ESG Score;
Physical risk: geographical-industry score for assessing the impact of physical risk;
GHG emissions: GHG Scope 1, 2 and 3 emission data and calculation methodology;
Transition risk: industry scores for the assessment of single-name and portfolio risk;
EU taxonomy: industry indicators on taxonomy alignment and eligibility;
Other Pillar III variables: flag for companies belonging to polluting sectors, excluded from the Paris Accords;
ESG raw data: +150 data sources used to autonomously build the ESG analytics.

Climate Risk Analytics Suite (CRAS) for climate change analysis

CRIF’s Climate Risk Analytics Suite allows analysis of the short- and long-term impacts of physical and transition risk on companies.

ESG Analytics to improve sustainable behaviors

CRIF’s ESG Analytics are based on open data processed by machine learning techniques to evaluate all companies (including SMEs) and behaviors of individuals within the European Union: from the maximum level of granularity (ESG Data Lake) to full synthesis (ESG Scores).

ESG Consultancy

The CRIF ESG Consultancy team comprises certified ESG analysts, data scientists, and risk management and process consultants who help clients integrate ESG components into their framework (business model, internal control system, disclosure & reporting) and to define and implement a “green” action plan.