Wave Wang Endong: Farewell to the rhetoric to promote industry large data application

March 18, a wave of clouds of cloud financial data in the Beijing release, this is the wave of industry ISVs together with the South-day information launched by the financial industry-oriented mining, analysis platform. At the meeting, the Wave Group senior vice President Wang Endong made a speech, big data has gone from the concept stage into daily life, he said, "We have to say good-bye, from the technical concept into a more practical application phase, to promote the industry's big data really use." ”

He noted that the value of data utilization has become more and more high, the use of data has three stages. From the analysis and application of the traditional structured data, to the large-scale data processing in the industry, and then to the future cross-sectoral and cross-industry Data integration analysis, the large numbers have different stages of application characteristics.

The first stage is an application data within an organization. The customer's system and data are more decentralized, the data is very simple, Wang Endong, "These data are structured data, or types of relatively consistent data analysis, mining, more statistics." "They can support the business decisions of users and the development of new businesses, but they are limited in depth and breadth."

The second stage is within an organization or within the industry. Enterprises, Government and other organizations to achieve a unified data integration, all kinds of systems realize interconnection, set up a unified large database, the system of data volume, type complex, from GB up to TB even PB, structured data, semi-structured data, there are unstructured data. He said, "take the public security system as an example, there are various historical documents, population, vehicles, legal persons and other types of data, the complexity of large data technology and the depth of application is far more than the first stage." ”

The third stage is the integration of cross-industry, various data integration and even the whole society. So in this data to find more for social governance, livelihood, industry development, more valuable applications.

The third phase is tantamount to communism, a vision that is not realistic. "We are in the second phase, the equivalent of the early stages of socialism, and we may be at this stage for quite some time in the future," he said. In the second stage, there are many schools of large data industry technology, lack of unified standards, hardware, software and other levels of technical compatibility is not high, the integration of products less, users in the deployment, business development and operations and other aspects of the difficulties. "I believe that the integration and optimization of technology and products requires more innovative technologies and products, combined with the needs of the industry." For example, data interchange is no longer used in the current general technology, because the transmission rate is low, waste computing resources, semiconductors to do memory calculation, improve the performance of the calculation. ”

After more than 10 years of information construction, China's various industries have a complete information base, in particular, three gold projects, 12 gold projects, data, such as the construction cycle, the financial, tax, industrial and commercial, transportation and other industries have accumulated a large number of data assets, these data value density is high, after a shallow treatment can produce great value. "We are also working with a number of industry partners, such as the South Sky information, they have very rich experience in the financial industry, the financial industry has a very deep understanding." We are with the South Sky information in the financial large data integration machine, because I saw the internet finance or the Internet on the impact of finance, growing. He said, "Today we release such a product, we hope that the integration of products, we can better solve the financial industry for large data needs." ”