Alignment with TCFD

Clarity AI's TCFD score helps investors understand how a company is integrating climate risks and opportunities in its strategy and forward planning (vs. just backward reporting). As defined by the TCFD, the disclosures are structured around 4 thematic areas (Governance, Strategy, Risk Management, and Metrics & Targets) that represent core elements of how organizations operate; those areas are then divided into 11 recommended disclosures.

The TCFD Methodology was developed leveraging years of research by experts in sustainability / social and environmental investing and impact. This methodology is purely quantitative and systematically applied to organizations across all industries using technology and algorithms. High quality data is used to calculate TCFD scores (the output of applying machine learning algorithms and estimation models to structured and unstructured data to improve reliability and ensure the largest coverage).

Leverage Clarity AI’s technology platform to better manage portfolios for impact. Using big data and machine learning, it offers a wide range of societal and environmental impact scores and modules such as ESG Impact, UN SDGs, Climate module, and Impact of products and services.

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搜集汇总

背景与挑战

背景概述

该数据集通过机器学习算法对企业的TCFD气候信息披露进行量化评分，覆盖治理、战略等四大领域，帮助投资者评估气候风险整合情况。基于FactSet技术平台，采用结构化与非结构化数据结合的分析方法，为投资组合管理提供ESG及气候模块支持。