National Securities Ma Guang: Big Data push brokers to change customer service

Large data is another disruptive technological change in the IT industry after cloud computing and the Internet of things. Cloud computing primarily provides a place and channel for the storage and access of data assets, and data is a truly valuable asset. Large data era will trigger a new round of information investment and construction boom. Large data will be used in a growing number of segments, the securities industry as an important branch of the financial industry, because of its need to deal with and analysis of the huge amount of data, so large data application prospects are very broad, and there are already some domestic securities companies began testing water large data applications.

The large data application of national securities is in the forefront of the industry. Recently, China National Securities chief Engineer Ma Guang said in an interview, large data based on cloud computing, not only can improve the processing capacity of data, but also can enhance the stability and security of data. He also believes that large data applications will drive securities companies to change customer service, providing customers with efficient, fast, intelligent trading tools.

Ma Guang, chief engineer of China National Securities

Large data makes trading more efficient and convenient

The huge development of data brings many conveniences to people, and also brings a lot of ills, including the analysis and storage of massive data. Ma Guang to reporters that we need a lot of data very fast to collect, analyze, deal with and draw conclusions. In recent years, our country began to carry on the programming transaction, the big data technology superiority gradually appears. In the securities trading, compared with the traditional trading methods, programmatic transactions become more efficient and convenient, one of which is called multi-frequency trading.

Second, the need to keep the data alive, a constant update over time, but without the corresponding information in a given environment, the final data structure will become very complex, from the original structured data to semi-structured data or even unstructured data, resulting in a very complex tool, Can adapt to the structure of today's large data.

Large data based on cloud computing

As data volumes grow, the securities industry is facing challenges. Ma Guang said that the national securities after more than 20 years of data accumulation, data preservation has become unusually large. In mergers and acquisitions, data will face consolidation challenges.

In the business development, May 2012, China Securities Industry Innovation Congress convened, securities deregulation, put forward the innovation, market diversification, open up the development of the financial sector. As a result, the resulting explosion of data can overwhelm the IT staff, which makes a very high demand for technology. By approaching the artificial intelligence model and the operation means, the unstructured data can be handled better.

He also said that in the face of high-frequency trading as a representative of new transactions in the data processing requirements, we are faced with personnel training, ideological and other aspects of the problem. At the same time, with the emergence of large data structure is accompanied by cloud computing, remote trading, virtualization and other new technology applications and so on.

Today, the entire industry is facing more and more fierce competition, prompting the securities companies to accelerate the pace of it construction. Ma Guang that big data is based on cloud computing. The application of large data technology not only improves the processing ability of data, but also improves the stability and security of data.

Push securities companies into customer service

On the technical architecture side, Ma Guang pointed out that for large data applications, securities companies have a large customer base and equipment, the past treatment is far from enough. Now, through the Hive tool, you can use the Data Warehouse processing methods. Hive can be processed by data reference processing, which is highly efficient and can be put into the data.

Finally, Ma Guang says, in today's securities industry, technicians are moving away from their previous struggles with trading to customer service, mainly by providing powerful trading tools to clients, such as high-frequency trading. In addition, we through the development of the data center, the realization of intelligent transactions, so as to provide customers with intelligent reference. The excavation and application of large data will provide new development ideas for the development of securities industry.

(Responsible editor: The good of the Legacy)