In recent years, big data has become an important support and starting point for reshaping the financial competition pattern. In particular, the "Thirteenth Five-Year Plan" clearly proposes to implement the national big data strategy, regard big data as a basic strategic resource, and accelerate the enjoyment, opening up and development of data resources.
In this context, in order to fully implement the national big data strategy put forward in the 13th Five-Year Plan, promote the transformation, upgrading and innovation of the financial industry, and help Shanghai to build an international financial center and a science and technology innovation center, a forum on "Financial Services and Innovation in the Age of Big Data" was held in China Financial Information Center on August 17. The forum is guided by Shanghai Economic and Information Technology Commission, Shanghai Financial Services Office and Shanghai Banking Regulatory Bureau. Sponsored by Xinhua News Agency China Economic Information Society, Xinhua News Agency News Information Center, Xinhuanet, shanghai securities news, China Financial Information Center, Bank of China Shanghai Branch, assisted by Yixun Finance, with special support from Zendai Fortune.
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Schoenberg, the father of big data, once said, "Big data has opened a major change in the times. Just as telescopes let us feel the universe and microscopes let us observe microorganisms, big data is changing our lives and the way we understand the world, becoming a source of new inventions and services, and more changes are about to happen. "
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Zhang Xiaojun said that how the traditional financial industry uses big data technology and thinking to realize industrial transformation and promote the innovative development of financial services is a problem that every enterprise should think deeply; How to use big data to reduce financial risks, promote the sustainable development of "big data and new finance" and make it play a greater social value is also a new topic faced by government departments and regulatory authorities.
It is understood that 20 16 is the first year of the "Thirteenth Five-Year Plan" and an important year for the business transformation and development of Xinhua News Agency. 2065438+At the end of July, 2006, Xinhua News Agency completed the major institutional reform of "two separation and two strengthening" in the acquisition and management of domestic branches. On July 1 day, the Shanghai Center of the News and Information Center was formally established, which also marked a new stage of various undertakings of Xinhua News Agency in Shanghai.
"While maintaining the advantages of traditional information products and business, shanghai securities news will be able to focus on the national strategy and the overall development of local business in Shanghai. Under the dual leadership of the vertical management system and Shanghai Branch, we will continue to lay a solid foundation, seek innovation and change, further expand the coverage and influence of Xinhua News Agency's news product market, and make our contribution to the construction of "four centers" in Shanghai. " Zhang Xiaojun said.
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Shao Zhiqing, Deputy Director of Shanghai Economic and Information Technology Commission
Shao Zhiqing, deputy director of the Shanghai Economic and Information Technology Commission, said that the main purpose of this forum is to plan the so-called "situation, strategy and technology". The so-called "trend" should never be the enemy of trend. When a person or an enterprise does something, it must conform to the trend of the times and follow the trend. Today, we have entered the era of information civilization, the first is the PC era, the second is the network era, and the third is the era of big data.
Can Big Data Develop into an Engine? Shao Zhiqing talked about three aspects. First, the world has entered a new era. Joining the Internet family in the mid-1990s achieved a breakthrough in interpersonal communication and made "a letter from home is worth a ton of gold" no longer exist. Now, all countries in the world are planning to realize national development in the era of big data, because big data is already a resource and an asset. Obviously, it has become a national development strategy. Big data capability has become an indispensable aspect of comprehensive international competitiveness and international influence.
Second, big data has become our production factor. Big data has opened up new modes and paths for computing. In terms of industry, there are new businesses, new business models and new formats, which bring a lot of vitality to the new economy. Now the government has mastered a large number of big data resources, how to serve the society and the market, so as to stimulate the vitality of the market and social creativity, and how to manage the grid in social governance. Big data also brings many opportunities, for example, it can be used to control urban infrastructure, environmental protection, food and drug safety and transportation.
Third, using big data to install a powerful engine driven by innovation should focus on resources, technology, use, industry and security.
Shao Zhiqing said that recently, Shanghai is also formulating the implementation opinions on the development of big data, which is connected with the strategy at the national level. Combined with the reality of Shanghai, there are probably several aspects to be done: factor supply, use innovation and industrial development. He believes that it is necessary to speed up construction in several aspects: First, integrate the resource circulation system enjoyed by * * * *. The second is to innovate and actively use the industry system. The third is to develop an independent and controllable data technology service system. The fourth is the world-class big data infrastructure system. Fifth, a credible, safe and independent guarantee system.
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Shen Xiangyu, Chief Operating Officer of Shanghai Data Exchange Center
"In terms of specific cycles, we evaluated all the data from high risk to low risk. From the original data generated by users to the data generated later, there are several requirements for individuals and groups. Entering circulation, we have six elements of independent intellectual property rights: data must have ID and data must have dimension primary key, which is the key. This is the angle of assigning ID, assigning key, setting restrictions, providing data in time, and setting transaction price. " They divide the services that the data trading center can provide for everyone into five aspects: membership, listing, matching, distribution and clearing services. Shen Xiangyu said that there would be a trading platform for everyone to use.
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Shanghai Big Data Alliance
Deputy Secretary-General Ma Huimin
Ma Huimin, Executive Deputy Secretary-General of Shanghai Big Data Alliance, delivered a speech on "Big Data Promotes Industrial Innovation". Market transaction cost is mainly composed of information cost and transaction cost. He said that the organizational cost of an enterprise mainly refers to various administrative costs and coordination costs needed to maintain the operation of various departments within the enterprise.
When the cost of organization and management in an enterprise is expanded to be equal to the transaction cost in the market, the enterprise reaches its maximum boundary. For example, new technologies such as big data and mobile internet have greatly reduced the transaction cost of the taxi industry, and traditional taxi companies have gradually been influenced by the intermediate market-platform companies. For example, Didi taxi and Uber, with these platforms, transaction costs are greatly reduced. Internet has promoted the development of this industry, but also brought changes to the production of this industry. Big data and related technologies solve the process of increasing transaction costs caused by a certain information asymmetry field.
Accurate marketing can be achieved through big data. "After we collect a large amount of data, we will form a portrait of a user. Whether it is online data or offline data, you will know what this individual or enterprise needs after gathering together. A problem is solved here, that is, the personal label of online and offline data. " Ma Huimin said.
Luo Mingxiong, Director of Institute of Internet Finance, Shanghai Jiaotong University.
Luo Mingxiong, director of the Institute of Internet Finance of Shanghai Jiaotong University, shared the theme of "Looking at Big Data Finance from Internet Finance Investment and Financing". He said that it is very inaccurate to equate Internet finance with P2P and scammers. P2P is just a branch of Internet finance, and scammers just cheat under the banner of P2P. He divided the big data industry chain into four parts, including data source, data collection and storage, data analysis and mining, and big data use.
Who can do big data finance well? Luo Mingxiong said, firstly, a large amount of unstructured data can be legally obtained, and secondly, these unstructured data can be professionally mined, sorted and cleaned. He suggested that we should not completely think of banks as traditional financial institutions. The banking industry is changing. Banks will consider many areas in an all-round way. If they want to do risk control, they will get a lot of data, and then through these data, including your credit risk control, precision marketing, and operational decision optimization. He said that the bank's e-commerce opened information, which is essentially similar to Yu' ebao. Yu 'ebao uses information technology to let ordinary people enjoy a financial service similar to private banks with extremely low threshold.
Luo said that traditional supply chain finance is dominated by banks or traditional financial institutions. By binding and granting credit to the core enterprises, the upstream and downstream enterprises are given some support, which poses a great challenge to the BD ability and their own resource ability of supply chain financial enterprises. Recently, B2B or SaaS model has been used to cut into supply chain finance, and from the "third-rate" model, it has become the most easy business model for supply chain finance to overtake in corners. The essence of supply chain finance is that you can seize small and medium-sized enterprises and provide them with a whole set of supply chain financial services.
Lane Ji, Assistant to the President of Wanda Financial Group and General Manager of Wanda Credit Information Company.
Lane Ji, assistant to the President of Wanda Financial Group and general manager of Wanda Credit Information Company, shared with you the development opportunities of credit information industry based on his working experience in banking, credit information industry and credit information field.
Judging from the development of foreign credit reporting industry, the credit reporting system in the United States is the most mature. At present, it has formed a mature and complete industrial chain layout from data collection, data standardization, data processing to credit use, thus forming the largest market scale in the world. Lane Ji said that the development course, motivation and trend of American credit reporting industry have a good reference for the development of credit reporting market and institutions in China. From the development path, American credit reporting industry has experienced four stages: rapid development, legal perfection, industry integration and mature development. Finally, after the reshuffle and integration of the industry, the number of institutions has been reduced from 2,000 to 500, and national credit giants have gradually emerged.
The purpose of studying and analyzing foreign markets is to better judge China's credit market. By the end of 20 15, the central bank's credit information system had included 880 million pieces of natural person information, including 380 million pieces with credit records; There are 2 1.2 million enterprises and other organizations, of which 5.77 million have credit records. With the gradual maturity of the huge consumer market, the rapid growth of consumer credit, and the leap-forward development of the use of the Internet and big data, more social third-party credit reporting agencies are involved in the construction of China's credit reporting system.
Although the background and data types are different, all credit reporting companies have highlighted "big data" and "internet credit reporting" in the specific planning of personal credit reporting business. The information collected by internet credit reporting agencies is very extensive, which can cover a huge group that cannot leave credit records in banks, thus becoming a useful supplement to the central bank's credit reporting system.
Lane Ji believes that the best time has come for the credit reporting industry. With the further improvement of laws and regulations, the sustained growth of consumer economy and the development of big data and Internet technology, the credit information industry is facing unprecedented development opportunities: First, the improvement of laws and regulations provides support for the development of credit information; Second, the growth of consumption economy has promoted the sustainable development of credit information industry; Third, big data and the Internet have promoted the comprehensive upgrade of the credit information business; Fourth, social development has improved people's cognition of credit value.
Sun Haijiang, General Manager of Yixun Finance
Sun Haijiang, general manager of Yixun Finance, said that the growth rate of big data is very fast. Now, 90% of the overall big data and manual data are generated in the last three years. Using consumer software every day, such as Didi taxi and financial software, will generate a lot of data. The service of these data can bring value, and the use of these data can also bring value. But in fact, there are still data problems for us.
During the roundtable discussion, Xia Lingwu, Vice Chairman and President of Everbright Yunfu, Lu Jinjun, CEO of Greenland Financial Services, Director of Shanghai Internet Big Data Engineering Research Center, Dai Weixin, President of Zendai Fortune, and Shi, Deputy General Manager of Qianhai Credit Information, focused on four topics, namely: New opportunities brought to the financial industry by the era of big data; How big data finance serves small and micro enterprises; How to manage the challenges and risks in the use of big data credit information; How does the government supervise and serve the financial innovation of big data?
Xia Lingwu, Vice Chairman and President of Everbright Yunfu
Xia Lingwu, vice chairman and president of Everbright Yunfu, said that the rapid development of big data and the Internet in recent years has brought many opportunities to the financial industry. This opportunity has two aspects. On the one hand, it has brought greater and stronger viability to traditional financial institutions. Some people say that the Internet will subvert traditional institutions. Now from the perspective of big data, it is not. Traditional financial institutions control the biggest data of financial industry and economic sector. Because financial institutions operate data. So I think big data has enhanced the capabilities of traditional financial institutions. On the other hand, big data has also promoted the emergence of new forms of financial services, and Everbright Cloud Payment is a combination of these two aspects.
Yang Xiaodong, CEO of Greenland Financial Services Company
As one of the founding management teams of lufax, Yang Xiaodong, CEO of Greenland Financial Services, said that the most important thing of big data is to reduce the cost of enterprises. From a business perspective, big data can help us improve our risk control ability. I am still full of confidence in the future of big data, but the current situation is still not satisfactory. For example, in the United States, this is a project I did in the 1990s. In the 1990s, you could open an account on the Internet in America, and I could know all the information in 1 second. But at present, the domestic information is still island information, and there is no unified information to prove that this person can be trusted and can open an account online. Whether the cost of market data is reasonable is the key to the success of big data. He hopes that the government can provide public information not only for financial enterprises, but also for all enterprises. Only in this way can we help financial enterprises reduce costs.
Lu Jinjun, Director of Shanghai Internet Big Data Engineering Research Center
Lu Jinjun, director of the Shanghai Internet Big Data Engineering Research Center, said that there is a chaos in the entire big data industry. On the one hand, people who own data, such as governments, banks and operators, are hard to open. On the other hand, many companies claim to have data. But where did these data come from? It may involve the issue of privacy leakage. Talking about big data around finance and talking about the mobile Internet are technologies and means that can really change the supply-side reform in the financial sector. Because the mobile internet, all kinds of treasures and all kinds of loans provide more choices for the people, and of course, it also brings many risks in the selection process. This is a problem that people who do technology, management and supervision have to solve. Through big data, we can solve the problems of customer portrait, customer acquisition, credit information and so on to a certain extent, and we must do it well.
Lu Jinjun said that big data must be open and cross-border. If you are a closed data group, you can also do data analysis, but only by opening channels and communicating and combining with data in different fields can you generate more value. This is also a very important issue faced by big data exchanges, so we should pay attention to the security of big data.
Dai Weixin, CEO of Zendai Fortune
Dai Weixin, CEO of Zendai Fortune, believes that the combination of precision marketing and risk management is very high. Their company made a "Taobao Daren Loan" two years ago, and the customers they faced were people who spent money on Taobao to make credit loans. When this product was launched, the sesame credit score had not yet come out. Through the data accumulation in these two years, some improvements can be made in the application of big data in the future. From the perspective of sesame credit score, we can see that there is a great correlation between the performance of our customers and the real sesame credit score, thus verifying whether sesame credit score has a better use scenario in such a market.
Dai Weixin said that the biggest point of finance is risk control, and everyone's data sharing can effectively reduce losses in this area. He said that Zendai Fortune has been cooperating with Shanghai official institutions and private credit reporting agencies to share data.
Shi, Deputy General Manager of Qianhai Credit Information
Shi, deputy general manager of Qianhai Credit Information, talked about his views on the relationship between credit information and finance. The core of finance is risk pricing, and risk control is a very important means. It turns out that the traditional financial methods are mainly offline, for example, loans must be signed in person. But now many of them are online remotely. Without the development of modern credit industry, remote account opening and face recognition are impossible. In the future, big data will become more and more important in the financial industry.
According to Shi, the challenges faced by the credit information industry are information islands, security compliance and technological innovation.
He said that credit information is now divided into three categories, the first category is public credit data, the second category is financial credit data, and the third category is life credit data. The data of these three aspects are in different places, and integrating these three categories requires a big strategy. The emergence of data alliance and data trading center provides a good foundation for data integration, and will also become an opportunity for the future development of credit reporting industry.
A big problem in the era of big data is the proliferation of personal information disclosure. The credit operation in Qianhai is very standardized. Any data collection and disclosure must be conducted in accordance with legal channels and rules. The premise of big data is legal compliance.
There are many innovations in the era of big data credit reporting, but we must be cautious. In fact, the traditional financial credit investigation has been verified countless times, which can effectively judge a person's credit risk. Now big data is developing rapidly, but whether these information and labels can really prevent risks needs to be verified. Therefore, all innovations will not be pushed to the market, and will be pushed to the market very responsibly after long-term verification.
Moderator: Ye Liu, First Financial Moderator.
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