Tongdun Technology, a professional intelligent analysis and decision-making service provider, assists banking marketing, risk control, operation and other business sectors to complete digital transformation and upgrading through artificial intelligence, big data and other technologies, benchmarks regulatory requirements and leading practices, and promotes digital transformation for financial institutions in a phased, focused and orderly manner, taking into account external market development, business needs, internal resource reserves and other factors, and formulates target blueprints and implementation routes suitable for banks.
troika
Help banks digitize.
For the banking industry, digital transformation is no longer an option, but more like a compulsory topic.
In recent years, large central banks have made some positive achievements in digital transformation with forward-looking strategic pre-research, strong capital strength, strong scientific and technological support and excellent talent team. However, as an important force in China's banking system, regional small and medium-sized banks used to focus on offline cultivation. In terms of risk control, they still focus on mortgage collateral, lacking new risk control measures and R&D capabilities, and their digital capabilities have opened a gap with the Head Office.
In the future, it will be an irresistible trend for customers to be remote, service scenes, real-time transactions and intelligent decision-making. It is the best choice for all small and medium-sized banks to adapt to the changes in customer needs and carry out digital transformation with the times.
However, the digital transformation of small and medium-sized banks has both opportunities and challenges. Judging from the current situation, small and medium-sized banks still face three major challenges in realizing digital and intelligent decision-making transformation.
First, the data standards are not uniform. There is no data collection and sharing between small and medium-sized banks, which leads to serious information islands; At the same time, the data of different business systems have not been opened, and the data caliber is inconsistent; In addition, many financial technology companies in the market provide various risk control strategies, models and other products, but the products output by different financial technology companies are different in logic and standards, so it is difficult to have a unified standard.
Second, the business organization does not adapt. The products and solutions provided by many financial technology companies are designed from the perspective of Internet risk control products, which have a low degree of fit with the credit products and business processes of regional banks.
Third, the technology application is not deep. Small and medium-sized banks are often backward in risk control, scientific and technological talents and information technology systems, lacking planning to build intelligent decision-making systems, and the application of data is limited to reports/large-screen display, so it is impossible to combine artificial intelligence technology for risk control, marketing and other scenarios. It has little commercial value and lacks effective and easy-to-use tools.
Yu, vice president of Tongdun Technology and general manager of the analysis and consulting department, believes that it is particularly important to control the "troika" of big data, cloud computing and intelligent decision-making on the road of digital transformation of the banking industry. Based on big data analysis, it can provide more accurate customer portraits and more reliable credit risk assessment; Cloud computing provides a reliable foundation for banks to improve efficiency and maximize the use of resources; Intelligent decision-making can help banks combine quantitative analysis with experience to make all-round decisions better.
Technology empowerment
Improve the quality and efficiency of financial services.
The road of digital transformation of small and medium-sized banks is difficult to complete only by banks themselves. In the industry's view, financial technology has become the "killer" for small and medium-sized banks to break through.
Empowering small and medium-sized banks requires financial technology companies to match the needs of banks in terms of personnel, technology, products and services. At the personnel level, experts who are familiar enough with the regional business of small and medium-sized banks need to provide business consultation and diagnosis, provide overall scheme design and planning, and avoid repeated construction and information islands in the past; At the technical and product level, it is necessary to have sufficient experience in platform construction and implementation and risk control ability to avoid the situation that the preliminary planning cannot be completed.
"The digital transformation of small and medium-sized banks is a long-term project. In this process, it is more important to improve the mastery of new technologies and means by small and medium-sized regional banks, and open up front, middle and back-office business and data links through the mode of consulting+platform+basic services. By cooperating with experts, we will impart experience, knowledge and skills in actual combat and truly build the ecology of digital transformation of small and medium-sized banks. " Yu said.
In fact, many professional financial technology companies have been deeply involved in the digital transformation of financial institutions, empowering small and medium-sized banks with financial technology to help them solve or strengthen their core capabilities in customer insight, data analysis and accumulation, and IT construction.
As a member of the digital transformation of Empowering Bank, Tongdun Technology's intelligent operation, intelligent anti-fraud and intelligent credit risk control services will help simplify banking business processes, reduce operating costs, improve audit efficiency and enhance customer experience.
Take applying for a loan as an example. In the past, customers had to submit an application at a bank outlet, fill in a lot of materials, and then wait for the bank staff to input the information into the system, and the final result would be known after the background approval. The whole process is very long. After customers get used to online convenience, online application and approval will help banks retain and renew their insurance, which inevitably requires online intelligent anti-fraud and intelligent risk control systems.
Tongdun Technology effectively guards against fraud risks by means of decision engine, anti-fraud scoring and equipment fingerprinting. Identify credit risks through quantitative scoring, behavior model, knowledge map and other technologies, comprehensively identify risks in advance, and take risk mitigation measures quickly, thus reducing the possibility of risk events and losses after risk events.
In addition, as customers and regulators pay more and more attention to data security and privacy, while small and medium-sized banks are advancing on the road of informationization and digital transformation, data security and privacy issues are also paid more and more attention.
On the basis of protecting data privacy, Tongdun Technology has developed a series of related algorithms and technologies that can give full play to data mining capabilities. Based on federated learning technology, a theoretical framework system of "knowledge federation" with independent intellectual property rights is proposed in the industry, which can effectively solve the five security pain points existing in the traditional data use mode, such as information leakage, data leakage, legal compliance, heavy domain modeling work, and privacy concerns when using the model, and truly achieve "data can be invisible, and knowledge * * * can be made * *". Recently, Tongdun Institute of Artificial Intelligence also proposed the data secure exchange (FLEX) protocol, which stipulated the order of data exchange between participants in the federated process and the methods of data encryption and decryption before and after the exchange. It contains a series of protocols. As long as they abide by these agreements, participants can join the Federation without worrying about the risk of data privacy disclosure, fully realize the availability and invisibility of data, and lay an important foundation for the era of artificial intelligence 3.0.
Help Xiao Wei.
Release inclusive finance's new kinetic energy
In the digital transformation of banks, small and micro businesses are often the breakthrough. However, it is a worldwide problem that financing is difficult and expensive for small and micro enterprises.
Financing of small and micro enterprises has its natural disadvantages. First of all, the financing amount of small and micro enterprises is small and the financing period is short, which has limited potential benefits for banks; Secondly, due to the imperfect financial system of small and micro enterprises, it is difficult to collect; In addition, small and micro enterprises themselves have weak ability to resist risks. According to an incomplete survey, the average life span of small and medium-sized private enterprises in China is less than three years. These factors lead to the lack of enthusiasm of large banks for small and micro markets, while small and medium-sized banks have no efficient risk management means.
In Tongdun Technology's view, to break the limitations of the traditional model, we need to focus on solving three problems: First, how to realize the automation and intelligence of the approval and risk control process, reduce manpower and improve efficiency; Second, how to realize the debt pledge of small and micro enterprises without assets; Third, how to establish a generalized credit rating system to provide a basis for batch credit granting.
In order to solve the above problems, Tongdun Technology integrates artificial intelligence, big data, cloud computing and other financial technologies into financial services and management processes, further consolidates the online business model of banks, and builds an open service platform, which can greatly enhance customer acquisition ability, optimize risk level and reduce financing costs. Through online enterprise credit evaluation and strength score, we can quickly conduct comprehensive evaluation information, comprehensive risk scanning and enterprise risk quantification on the target enterprise, give auxiliary decision-making suggestions, and help small and medium-sized banks to develop inclusive finance.
For example, the financial service platform solution for small and medium-sized enterprises launched by Tongdun Technology. This is a service ecology of "the government builds a platform, technology companies build a platform, and small and medium-sized enterprises build a platform". The government is the main body, financial institutions and technology companies unite, and the government enjoys the data and smart tools of technology companies.
From the effect point of view, Tongdun Technology's small and micro enterprise financial service platform solution can achieve multi-win. For small and medium-sized enterprises, more financing channels and more financing products can be obtained, and assistance and efficient handling and feedback processes can be obtained in the process of preparing financing materials and financing; For financial institutions, it can obtain more financing customers, reduce the cost of obtaining customers, provide accurate credit services, save loan review time, control the non-performing rate of loans and improve the income of financial institutions; For government departments, it can promote the financing business of small and medium-sized enterprises and solve the dilemma of enterprise development.
Under the wave of digitalization, financial technology companies rely on big data, artificial intelligence, blockchain and other financial technology technologies to access the whole process of digital transformation of banks and become one of the core forces of digital transformation of banks.
Text/Van Monti