T/MSITISA 03-005.01-2021 Abolished Group standards

T/MSITISA 03-005.01-2021 Big data creditworthiness, data modeling, credit evaluation model and applications

Publish Date: 2021-11-09 Implement Date: 2021-12-01 For services related to genuine standard inquiry, procurement, translation, and other related services in China, please Contact Us

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Basic Information

Standard Code: T/MSITISA 03-005.01-2021

Standard Type: Group standards

Standard Status: Abolished

is_force_gb: no

CCS Name: Economic and cultural

ICS Name: Integrated Information Technology (IT)

Publish Date: 2021-11-09

Implement Date: 2021-12-01

Scope

Main technical content: To upgrade and improve traditional credit investigation methods in the context of big data, the credit investigation department should not only consider the basic information, billing information, financial information, and overdue records provided by financial institutions and government agencies for individuals and enterprises, but also introduce cross-media credit investigation data such as Internet behavioral trajectory records, social and customer evaluations, and information from other channels into the credit investigation process. The Zhongguancun Sifang Modern Service Industry Technology Innovation Strategic Alliance integrates credit data from different companies through the Big Data Credit Investigation Intelligent Evaluation and Service Open Platform, striving to build a big data credit investigation platform that not only has a leading innovative significance but also has great experimental value. Among them, how to integrate various data of credit investigation objects, design novel and effective credit evaluation models, analyze the credit situation of credit investigation objects, and evaluate the default risk and fraud risk of credit investigation objects are indispensable important components. This standard evaluates the process to be implemented, the architecture to be improved, and the standards to be met for building credit evaluation models in the context of big data from multiple perspectives, including laws and regulations and industry norms, and regulates credit evaluation models in an all-round way.