GaiaLens ESG Scores: real-time (refreshed daily), covers c.17,000 global publicly traded companies

We track over 500 ESG factors and process around 200 features (based on statistical significance) to create our ESG scores. We have built a powerful proprietary algorithm to aggregate the data from raw values (such as carbon intensity metrics, employee satisfaction, diversity metrics etc.) to an overall score. The key differentiators of our scores are that they are: 1) Real-time 2) Explainable 3) Comprehensive across all 3 E, S, G pillars 1) Real-time Scores -------------------- Our platform uses the latest technologies which means that we are able to provide real-time ESG scores for our c.17,000 companies at scale. Some of the ESG factors that we use are real-time numbers such as people-related features like board diversity, management gender pay gap and employee satisfaction. As a result, as we get new data it will contribute to companies’ scores in real-time, which keeps investors up-to-date with the latest available numbers. 2) Explainable Scores -------------------- We have built a proprietary algorithm that aggregates ESG features to give an overall score. Our scores have 4 levels: overall score, ESG pillar level scores, theme level scores, and feature level scores so you can see exactly where these scores came from. 3) Comprehensive across all 3 E, S, G pillars ---------------------------------------------- There is a lot of focus on the Environmental pillar generally, but we still also process a huge volume of data for the Social and Governance pillars.

搜集汇总

背景与挑战

背景概述

该数据集提供实时每日更新的ESG评分，覆盖全球约17000家上市公司。它通过专有算法跟踪500多个ESG因素，处理约200个特征，生成整体评分，并具备实时更新、评分可解释以及全面覆盖环境、社会和治理三大支柱的特点。