T/MSITISA 03-002.03-2021 Big Data Credit - Data Description - Enterprise Data Security Level Guide
T/MSITISA 03-002.03-2021 Big Data Credit - Data Description - Enterprise Data Security Level Guide
Basic Information
Scope
Main technical content: Data can represent the characteristics of things, and the basic units of these data are called data elements. Big data credit reporting is the use of IT technology advantages and risk control models to integrate the massive fragmented data of enterprises from different credit institutions and consumption scenarios. After a series of processes such as data cleaning, analysis, and verification, it is processed and integrated into truly useful information. Under the background of big data, the data elements of enterprise credit reporting currently face many problems such as the lack of business standards and norms, the serious phenomenon of credit data islands, and the inconsistent security level standards. The Zhongguancun Sifang Modern Service Industry Technology Innovation Strategic Alliance uses the big data credit reporting intelligent evaluation and service open platform to gather the credit data of different companies, bear the credit services of different companies, break down the barriers between different credit services, and carry out application demonstrations in typical service scenarios to optimize the social credit environment and promote the construction of the social credit system. After careful, serious standardization and standardization of data, its practicality and shareability in systems and environments will be greatly enhanced. Identifying and standardizing the security rating of data elements used for communication through automatic information processing systems is an important task. The success of this activity and its application worldwide will play a crucial role in enhancing communication among governments, businesses, and academia.