Building a new "pivot port"--"Shanghai opportunity in Big Data age"

Large data (Bigdata), from a foreign word into the domestic hot word. Among them, two big data classic cases are relish: first, Google's use of massive search data to successfully predict the 2013 U.S. influenza outbreak; second, Microsoft, through large data analysis and processing, the new Academy Awards to make a "prediction", the result in addition to "best director", the other 13 awards all hit. For a time, people of all kinds of large data application imagination, then in the big Data era of Shanghai, what can be?

Data bonanza: sleeping or talking

In the era of information explosion, "data mining" has been extremely fertile, the question is to let them sleep forever, or open mouth-through large data acquisition and processing to obtain great value.

More than 30 hospitals in Shanghai have realized the interconnection of diagnosis and treatment information, the municipal health information on the Internet, the public health records, record data up to billions of. The data is big enough, but not big enough. A deep interpretation of these data can be used to provide feedback on the efficacy of new drugs, to guide doctors ' behavior, and to offer quantitative evidence for medical or commercial insurance. In the health field, Google and other IT giants are based on Internet users search for hospitals, drugs and other data information to find out the law of disease occurrence and development. The boundaries of large data are not confined to the "data Circle" of an industry. When investors stare at the red and green numbers on the screen, when institutions look at capital flows and flows, Wall Street's capital giants have used supercomputers to analyze the messages of hundreds of millions of of users around the world in real time, grabbing judgments about listed companies to determine the buying and selling of certain stocks, which can add more than one percentage point a year. This is based on market sentiment and investment mentality of "financial public opinion decision-making investment."

The UN 2012 white Paper proposes that the "historic opportunity" brought about by great data will be used in all regions.

Data Center: Transformation of "mind economy"

Large data is a renewable gold mine. According to the "four-center" construction strategy, Shanghai itself is the economic, trade, finance, shipping and other fields of huge data distribution center, with unique advantages of large data. Aggregation of data into a large stream, can become a data center.

According to He Shao, assistant dean of China UnionPay Electronic Payment Research Institute, "UnionPay" is located in the core hub of China's bank card industry, and has a comprehensive, massive amount of bank card payment data, "This is a great wealth." For UnionPay, they take cardholder, merchant, cooperative organization as large data object, to build appropriate data model and analysis algorithm, from which to obtain hidden in the transaction data behind the value, explore and grasp the card consumption, investment rules. At the front of the big data industry chain, Shanghai is a good base. As early as 1996, Shanghai put forward the construction of International Harbor strategy. Today, the level of information technology in Shanghai, the domestic leading, optical fiber to cover the capacity of wireless LAN coverage density, metropolitan area network export bandwidth is the first, conditional development for the large data throughput of the "hub port."

The larger "value-added" phase of the big data industry chain may be the backend--the value of data transfer or storage. Large data is a kind of information service based on intelligence, which occupies less physical resources and produces high added value, which belongs to "mind economy". City Economic Information Committee experts believe that this is not only the Shanghai hope that the development of the service industry, but also in line with the Shanghai industrial optimization and upgrading to high-end transition trend. At present, the biggest growth of the tertiary industry in Shanghai is the information services industry, the existing scale of information services enterprises about 4,600, the number of employees up to 408,000 people, the key to the development of large data industries is to gather relevant innovative talent, including for large data research and development models and algorithms for the application of mathematics, software

Big data, is becoming Shanghai information Service industry and even service industry to accelerate bigger and stronger new growth point. For example, large data will provide a very rich "content" for the cloud industry in Shanghai. Shanghai General Information Technology Co., Ltd. Technical director Wang Yanxie revealed that its large data business has now covered large commercial banks, securities brokers, insurance, telecommunications operators, power systems, mainly for the central enterprises and major customers. These customers generally have hundreds of IT systems that produce a huge amount of data each day. "Different from the common prior or after analysis, for real-time requirements of the very high business scene, must achieve high-speed operation, analysis of the matter." ”

A group of Shanghai enterprises have begun to subcontract data services like Primeton, the Nuggets in the big data value chain. According to the newly promulgated "Shanghai to promote strategic emerging industries (2013-2015)" Cloud computing "special Implementation Plan", 3 years later, the Shanghai cloud computing industry scale is expected to quickly pass the 100 billion Yuan mark, of which the contribution of large data is worth anticipating.

Data flow: "1+1" is greater than 3

Big data is like a cobweb. Shanghai sketched "Big Data hub" blueprint, in addition to the cobweb on the data "radiation line", but also the communication data "concentric circle." Experts say that the flow of large data, especially cross-border flows, can produce "1+1" greater than 2, or even greater than 3 of the benefits.

Hanqing, deputy director of the Center for Quantitative Economic Studies at the Shanghai Academy of Social Sciences, said that large data differed from the "Data Warehouse" and its data mining techniques, and that the "big" of the data analysis was extensive and in-depth. By synthesizing the "data warehouses" of different ranges, regions, and domains to obtain new information that a single "Data Warehouse" cannot know, new values can be discovered and new opportunities are created, which is the revolutionary place for large data concepts. "such as meteorological, insurance sector data combined to efficiently study disaster prevention and mitigation, using credit card data combined with sampling survey, can be faster and more accurate measurement of the CPI index." ”

The development of large data must be the big data industry to the strategic level, a comprehensive upgrade of data management methods. An academician has been invited to consult for intelligent transportation in a place but he found that the city involved more than 10 "relevant departments" of transportation, each with its own information system, but that information existed only in vertical operations and single applications, and lacked a common linkage with neighboring business systems. Relevant authorities believe that the Shanghai offices, including the major enterprises of the information management level has a considerable depth, should gradually alliances, mutual through, so that "large data flow" both ways to enhance its gold content.

Tang Quanlong, Director of Shanghai software Industry Promotion Center, said for Shanghai, traffic information Intelligent application is very good big data breakthrough opportunities, such as the NDRC support platform construction, science and Technology Commission support algorithm research, by the letter Committee to promote industrial applications, by the Government project, enterprise tender, can be in a certain area to do first demonstration, and then the city to promote. "The traffic flow in Shanghai to improve 20%, is a big data success story." ”

(Responsible editor: The good of the Legacy)