Recently, byChina Academy of Information and Communications TechnologyThe "Data Security Community Plan" initiated by CAICT was released2023 Data Security "Spark" CaseFinal Judging List,The company was selected for its "Application Case of Whole-process Data Intelligence in Banking Based on Privacy-Preserving Computing".
In recent years, with the promulgation and implementation of the "Data Security Law" and the "Personal Information Protection".The era of data security protection has truly arrivedThe development of the data security industry has gradually received great attention from the industry. In this context, at the end of 2021, the China Academy of Information and Communications Technology, together with a number of universities, research institutes, enterprises and institutions, jointly launched the "Data Security Community Plan". We are committed to promoting data security through the development and utilization of data and industrial development, ensuring the development and utilization of data and industrial development with data security, and actively implementing the layout of the ecological construction of the national data security industry.
The collection of data security "Spark" cases is part of the "Data Security Community Program" launched by the China Academy of Information and Communications Technology, which aims to promote the vigorous and sustainable development of the data security industry, play a leading role in the demonstration of excellent cases, and promote the development of data security product technology and related industries.
In July this year, the selection of the 2023 data security "Spark" case was launched, and after 5 months of solicitation, preliminary evaluation and final evaluation, a number of enterprises from the financial, IT, scientific research, manufacturing and other industries, including Zhongwei Technology, were selected and issued certificates at the Data Security Community Program Member Conference (2023) held on December 22.
In this selected case, the company used privacy computing technology to create a set of full-process bank data intelligence application solutions for banks, helping banks realize data value, accurately locate target customers, improve marketing conversion, and reduce operating costs. This solution meets the needs of various scenarios such as credit card acquisition, inclusive finance, and anti-fraud, and has achieved remarkable results in helping banks transform digitally and intelligently. For example, in terms of attracting new customers in wealth management insurance, the accuracy of reaching high-net-worth individuals can be nearly 20 times higher than that of blind callingIn terms of customer acquisition of millions of medical insurance, the customer acquisition effect is about an order of magnitude higher than that of blind call free insurance UV, and the conversion from free insurance UV to short-term insurance UV has increased by nearly two percentages.
In the digital era, data has become a key factor of production and a fundamental resource to drive the digital transformation of the banking industry. As an interdisciplinary technology system that integrates artificial intelligence, cryptography, data science, computer hardware and other fields, privacy-preserving computing provides a solution for the open sharing and privacy protection of data. In view of the problems existing in the data circulation of the banking industry, it integrates a variety of privacy-preserving computing underlying technologies to provide full-process data intelligence application solutions to help banks achieve digital transformation and data intelligence applications.