ESG Data Analysis & Reporting Services

The CRIF ESG bundle enables financial players to integrate the sustainability and ESG risks 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, which can be calculated for 100% of European non-financial companies;
• ESG factors: the criteria used to calculate the ESG Score;
• Physical risk: location and industry-specific score for assessing the exposure to physical risk;
• GHG emissions: GHG Scope 1, 2 and 3 emission data and calculation methodology;
• Transition risk: geo-sectoral scores for assessing financial risks posed by the green transition;
• EU taxonomy: sectoral proxies on taxonomy alignment and eligibility ;
• Other Pillar III variables: flag for companies belonging to polluting sectors, excluded from the Paris Accords;
• ESG raw data: +100 additional ESG raw data useful to autonomously build the ESG analytics 

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

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).

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.