T/MSITISA 03-001.02-2022 Big Data Creditworthiness: An Overall Credit Assessment Guide for Enterprises
T/MSITISA 03-001.02-2022 Big Data Creditworthiness: An Overall Credit Assessment Guide for Enterprises
Basic Information
Scope
Main technical content: To upgrade and improve the traditional enterprise credit evaluation methods under the background of big data credit investigation, credit investigation institutions should not only consider the basic information, financial information, and credit risk information provided by financial institutions and governments when evaluating enterprises, but also introduce corporate social responsibility, talent and R&D innovation capabilities, and enterprise affiliation information into the evaluation system. Designing a higher-dimensional enterprise credit evaluation system is conducive to providing a benchmark evaluation model in big data credit investigation, which can be transferred to specific scenarios such as quasi-financial enterprises, technology-based enterprises, and pharmaceutical enterprises, thereby promoting the demonstration of enterprise credit evaluation in various scenarios. This document mainly includes the following aspects: terms and definitions; comprehensive enterprise credit index system; evaluation methods and ratings; evaluation process; report writing; and evaluation information management and result disclosure. It aims to provide a basis and reference for the comprehensive credit evaluation method of big data credit investigation enterprises.