What are the financial big data companies in China? Which ones do you know?

There are a lot of financial big data companies, because the regulatory authorities have lead organizations, and then there are these Internet platforms that they set up themselves, and there are so many different types of companies that specialize in serving enterprises, of course, there are different institutions. Like the well-known JD Finance Ant Financial, he is a financial technology company under the Internet e-commerce platform. <>

There is a state-led establishment of Baihang Credit, which is the highest ranking among all financial institutions, not that its own market share is so high, but that its impartiality is not questioned by anyone. Because this is the leading agency under the national regulatory department, what is your credit report? Guess why he is called Baixing Credit?

Isn't it incredible, in fact, he is his own thing, and it is related to the issue of personal credit, which is not a trivial matterIt is directly related to your happy life in the future such as house loans, car loans, decoration loans, etc., which can not be sloppy. <>

There are data center providers that specialize in serving enterprises, such as Tongdun and Bairong, which we ordinary individuals can't access this thing, which is the financial data that serves enterprises. When the enterprise operates, it may need some reference standards in the same industry, and some competitive industry reference standards, which all involve the problem of data statisticsSo we don't know much, because what we have more contact with is the Internet financial platform, that is, the e-commerce platform. <>

The more obvious Ant Financial service given by the e-commerce platform, the JD Baitiao that we usually use in JD Finance, and the Du Xiaoman Finance, which itself is also a financial big data company led by Internet giants. It is also responsible for the function of this platform for investmentBecause they can also be called Internet financial platforms, big data is their own financial platform, and there is no conflict between the two for us.

There are many of them, such as Sesame Credit, Tencent Credit, JD Finance, Miaozhen, Berg Data, Percent, Bairong Financial Services, NetEase Finance, Jiao Aggregation and so on. These financial big data companies are very reliable, and there are many people who believe in them very much, and can also help us solve many difficulties, and the development of these financial big data companies is very good.

Ant Finance, JD Internet, Ping An Property, Chinese Life, HSBC, etc., these are particularly large financial companies, and they are also well-developed companies.

Internet Weekly, affiliated to the Chinese Academy of Sciences, released the list of the top 30 financial big data in 2021 and selected the representative enterprises that have made outstanding progress in financial big data this year. With the innovation and practice of big data and artificial intelligence technology in the financial field, Ronghui Jinke is on the list! Founded in 1998, Internet Weekly is one of the most successful mainstream business magazines in China's Internet and IT industry.

As early as a few years ago, "Internet Weekly" began to publish various lists in the Internet industry, which has a high authority in the industry. The inclusion in the list is undoubtedly an affirmation of Ronghui Jinke's strong R&D capabilities and industry-leading financial technology layout.

Relying on industry-leading technical capabilities such as big data mining and artificial intelligence modeling, as well as years of practical experience in financial risk management and data management, Ronghui Jinke has established a set of mature and complete data management platform construction solutions to help financial institutions carry out unified and systematic management of external data, and control the life cycle of the whole process from the introduction to exit of external data, so as to ensure the full realization of high-precision scientific decision-making for business and risk control. Previously, as one of the first batch of member units, Ronghui Jinke successively joined the "Data Security Governance Working Group" of the Key Laboratory of Blockchain Technology and Data Security of the Ministry of Industry and Information Technology and the "Zhuoxin Big Data Plan" of the China Academy of Information Technology. It will work hand in hand with industry, universities and research institutes to build a win-win situation.

Through the construction of big data security infrastructure, technical practice, and industry application implementation, we will jointly promote the safe and efficient circulation of data and the high-quality development of the digital economy.

As mentioned by Internet Weekly, "New infrastructure with big data, artificial intelligence, 5G and other industries as the core is becoming a new driving force for the development of the digital economy." As a one-stop high-end financial technology service provider for intelligent risk control decision-making and system solutions, Ronghui Jinke will continue to innovate and practice in new technologies, new businesses and new models. Relying on the ability of big data mining and analysis, we continue to explore the integration and application of the big data industry chain, and fully realize the continuous optimization and upgrading of the financial industry and industry.

The total revenue of China's financial services industry big data analysis service market was 109.3 billion yuan, of which 32.3 billion yuan was revenue from financial risk management and 77 billion yuan from customer lifecycle management, the latter including attracting new customers and managing existing customers. It is expected that from 2019 to 2024, the big data analytics service market will continue to maintain rapid growth, reaching 252.4 billion yuan in 2024, with a compound annual growth rate of . Accurate, objective, and neutral big data analysis results are the key elements for customers seeking big data analysis services.

Independent service providers can more accurately identify customer needs, avoid conflicts of interest, maintain objectivity and neutrality, and better serve customers. From 2014 to 2019, the market share of independent big data analytics service providers in the financial services industry will increase from 2014 to 2024.

Sesame Credit, Tencent Credit, Jingdong Finance, these are some financial big data companies, and the scale is also very large, it is a number of companies approved by the state to carry out credit business, and it is also very formal, you can choose with confidence.

There are Hang Seng Electronics, Suoxinda, and Gold Securities Shares

In fact, like this Alibaba, Huawei, etc., all have their own big data departments. Very professional.

Major domestic integrators will have tourism big data platform products, but they also rely on some data for visual analysis, which needs to be connected to the product interfaces of other companies. There seems to be a company called Moray Eel Cloud that specializes in tourism big data products, so you can learn about it.

At present, there is no focus on big data in China.

The company I cooperated with before was called Moray Beijing, which did tourism big data, and the data quality was okay.

There are still many big data companies in China.

What is your need?

Like NetEase, Shudao Cloud Big Data ......All of them are domestic big data companies.

Hello, what field are you talking about? There are leaders in data mining, data research and development, and data application. Like the field of business intelligence, I know more about FineSoft, at the beginning of the report software, did a good job, has a deep industry foundation, and later came out of finebi business intelligence software also continues the essence of finereport, in the industry is more representative, specific, there is an official website, you can learn about it.

Domestic Xiaoming Technology.

In this piece. Sons do better than.

Better, skill. The technique is also compared.

Mature a little. Collaborated.

The case also. More,

Merrill Lynch Data, Finesoft, Yonghong, Fourth Paradigm, Yixin Brilliance, etc., among which Merrill Lynch Data was established the earliest and has its original data mining algorithm.

Big data companies can be divided into three categories according to their origins:

The second category is:A company with big data core technology, such as infrastructure companies, Huawei, ZTE, Inspur and other large companies; There are also professional technology companies in various fields of big data, such as data mining, data trading, algorithms and models, data storage, visualization, etc.

Category IIIA company that provides solutions for the big data industry, such as security, finance, agriculture, government affairs, tourism and other industry solutions. These companies tend to start out as software companies, move to SaaS, and then do big data.

Moray Cloud Tourism Big Data Platform is a company specializing in tourism big data and has its own tourism big data platform.

The company we cooperated with before that specializes in tourism big data products seems to be called Moray Eel Cloud, you can learn about it.

What does it mean to be financial? This emerging term is not clearly defined.

The big data accumulated by the financial industry is the financial raid data, which is also divided into bank financial big data and financial big data according to the difference between banking finance and Jinmeng Chan Laorong itself. In the process of accumulating data, related work and enterprises related to data collection, storage and use have been generated, which has completed the industrial chain of financial big data, but it is still the information technology industry chain as a whole.

At present, the operation mode of Onenuo Credit Big Data Service Platform is regarded as the first-chain financial model.

What is a financial data service provider?

To put it simply, it is a company that provides a variety of services to financial companies. For example, it provides various services for financial enterprises, such as financial services, human resources services, and even pension management.

The key to choosing a financial data service provider or judging which financial data service provider is more suitable depends on which type of customer is used and which role is used.

Different types of customers and users in different roles pay attention to different data. Although the products provided by domestic manufacturers are almost the same, there is no difference, but from the data itself, I think the data of wind among domestic manufacturers is more comprehensive and better. It also includes **, bond market, and domestic and foreign futures markets.

However, there are certain drawbacks, that is, the accuracy is not very good.

Secondly, for the personal market, this is less pressure, because now there are more free software for individual financial data service providers, from the analysis of data quality, I personally think that Tongdaxin is better.

That's just my personal opinion.

Also, I think that there is nothing good about financial data services to judge the merits and disadvantages, not only is there no standard but also there is no meaning.

In general, when choosing a financial data service provider, it is necessary to think carefully about the actual conditions and needs, and do not go down the wrong path beyond expectations.

Note: Some software that was said to be free at the beginning was careful to wait until you entered the pit and it turned out to be paid again, and then you could only throw money into it. (Some merchants are just very unethical, so be careful.) ）