On the afternoon of August 7, the Department of Administrative Police for Social Order, Ministry of Public Security organized a Workshop on Applying Population Data in Assessing the Creditworthiness of Borrowers and announced the Competition to Find Solutions "Digital Data for Life".
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Colonel Vu Van Tan, Deputy Director of the Department of Administrative Police for Social Order (C06, Ministry of Public Security), Secretary of the Working Group implementing Project 06 of the Government, said that with the successful construction of the national population database, electronic citizen identification, electronic identification and authentication, as well as the effective implementation of Decision No. 06/QD-TTg dated January 6, 2023 of the Prime Minister "approving the Project on developing applications of population data, electronic identification and authentication to serve national digital transformation in the period of 2022 - 2025, with a vision to 2030", the Digital Transformation process in Vietnam is being accelerated and moving towards practical activities, bringing benefits to people, businesses and society.
Data resources are unlimited resources, the more they are exploited, the more new values are created. With the desire to attract resources from the young talent community to accompany the Ministry of Public Security and the Government in promoting creativity to quickly form practical ideas and information technology products serving the Digital Transformation process, the Department of Administrative Police for Social Order in collaboration with Hanoi University of Science and Technology, Vietnam Television and VNExpress Electronic Newspaper and sponsors organized a competition to find technology solutions "Data with life" serving the construction of digital government, digital society and digital economy.
The contest aims to encourage creative ideas that effectively exploit data to create practical technology products, solutions and services serving three pillars: Digital Government - solutions to promote effective public services; Digital Society - solutions to promote social security services; Digital Economy - solutions to promote economic development.
The competition aims to find ideas and products to incubate into finished products, forming innovative businesses (startups/spinoffs); Forming an ecosystem to promote data sharing, sharing ideas and data mining solutions to promote the National Digital Transformation process.
Contestants include: Vietnamese citizens living in the country or abroad; foreigners living in Vietnam. The Organizing Committee offers some product suggestions (groups can propose other problems suitable to the contest theme) such as: Detecting fraudulent behavior, identity fraud; Assessing the credibility of borrowers for social security loans; Assessing the current labor market situation and forecasting job demand in an area; Assessing the quality of human resources in a specific sector of the economy; Assessing the security, order and social security of an area; Building a vaccination map to serve disease prevention; Solutions to promote the effectiveness of online public services for people and businesses; Solutions to improve the efficiency of handling public services for state agencies and officers performing tasks; Detecting, classifying, tracking and estimating the density of vehicles; Detecting unusual traffic incidents; Predicting driving routes and behaviors; Technical hardware solutions: equipment, machinery.
Format: submit entries online from August 7, 2023 to September 15, 2023. The Final Round and Award Ceremony are scheduled for two consecutive days (November 16-17, 2023). The Organizing Committee will award one First Prize (two hundred million VND); one Second Prize (one hundred million VND); one Third Prize (fifty million VND) and two Consolation Prizes (twenty million VND each).
Applying population data in assessing the creditworthiness of borrowers
On this occasion, the Ministry of Public Security organized a workshop on the application of population data in assessing the creditworthiness of borrowers. At the workshop, delegates discussed and gave opinions, thereby proposing solutions for citizens to quickly access legitimate capital sources, with appropriate interest rates, gradually reducing crimes and violations of the law related to "black credit".
Speaking more clearly about the creditworthiness assessment of borrowers, Master Cao Van Binh, General Director of the National Credit Information Center of Vietnam, State Bank of Vietnam, said that this is understood as the process of analyzing a data set about an information subject through a scoring model to assess the creditworthiness and ability to repay debts on time of the subject. In which, the credit score is an index reflecting the creditworthiness of the borrower. The score indicates the ability of a borrower to repay debts and pay fees regularly and in full. The higher the credit score, the lower the risk of not being able to repay debts and the higher the ability to access credit.
According to Colonel Vu Van Tan, Deputy Director of the Department of Administrative Management of Social Order (C06, Ministry of Public Security), currently, borrowing capital from banks and credit institutions to serve production and business activities still has many difficulties. "The reasons leading to this situation are that banks do not have a basis to assess and determine the lending subjects, there are no policies to support the disadvantaged in society, and there is a lack of a State management mechanism to control black credit and support the people" - Colonel Vu Van Tan said.
According to Colonel Tan, from the above situation, Department C06 has coordinated with units to deploy customer creditworthiness assessment based on population data, using machine learning technology, artificial intelligence and has basically completed the algorithm model to assess customer creditworthiness with high accuracy.
According to the representative of the Department of Administrative Police for Social Order, 2023 is the “year of digital data creation and exploitation to create new values”. The exploitation of population data, citizen identification, electronic identification and authentication has brought many benefits, cut administrative procedures, and simplified procedures and documents for people and businesses.
Ngan Bank has actively cooperated with the Ministry of Public Security in implementing Project 06 with many utilities such as: Authentication and synchronization to ensure unified management of personal identification codes with credit information of 41 million customers (saving 20.5 billion VND); Deploying the use of chip-embedded citizen identification cards to withdraw money at ATMs (saving 50,000 VND/card) to replace bank cards, identifying customers at the counter and online; deploying the use of electronic identification accounts to authenticate, log in to perform transactions to open accounts, borrow money online to ensure security, safety, speed and convenience; supporting training to identify real and fake documents for credit institutions (currently training for VIB and preparing to train for 10 banks); Supporting banks to clean up data warehouses on the basis of population database. At the same time, banks are pioneering and dynamic organizations deploying modern technological solutions to optimize banking processes such as biometric matching technology, anti-fake face, e-banking, virtual assistants, cloud computing, etc.
Faced with the current situation of black credit, the Ministry of Public Security (C06) has coordinated with the School of Information Technology - Hanoi University of Science and Technology to deploy the assessment of the creditworthiness of borrowers based on population data, using machine learning technology, artificial intelligence according to the FICO credit reference standards in the US, which are used in many daily operations and activities such as: making lending decisions, determining interest rates of loans, applying for jobs, buying and renting houses, buying and renting cars, buying insurance products, buying telecommunications products, using public services, and some other fields. Up to now, the algorithm model for assessing the creditworthiness of borrowers has been basically completed with 18 fields of population information, data on citizen identification, electronic identification and authentication, data on residential mobility and other information fields enriched in the National Population Database with high accuracy.
According to VNA