ESGM ESG Evaluation
Strengths
※ ESGM ESG Evaluation patent-pending
Automation
- Automated Data Collection process: Utilizing 100+ python programs to collect ESG basic data from the public source so as to minimize hand collecting errors.
- Collected ESG Data to MySQL: over 47million cells on the ESG basic data storing in MySQL
Timely Data
- Narrowing time lag between public data release and ESGM ESG ratings and scores disclosures
- Regular 2 times (February/July)ESG rating and score disclosure and occasional 2 times(May/November) ESG rating disclosures to meet clients’ needs
Consistency
- Secure consistent evaluation thru standardization on the ESG scores and ratings
- Ensuring time-series and cross-section comparison via standard annual ESG data
- Enabling intuitive comparison for annual data via same rating criteria (-2~+2 sigma)
Integrity
- Referring Global Compact, UNPRI, ISO26000, SASB, and covering about 90% of ESG Metrics by Global and domestic ESG rating guidelines
- Covering over 90% of K-ESG guideline (Dec 2021)
- Minimizing manual data collecting to prevent Human Error