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Innovative path of big data application
Innovation Path of Big Data Application

With the popularization of innovation and application of new-generation information technology, such as cloud computing, mobile Internet and Internet of Things, huge amount of data is being generated.In 2015, the size of China's big data market reached 11.59 billion yuan, with a growth rate of 38%, and it is expected that the size of China's big data market will maintain the high speed of growth of about 40% from 2016 to 2018 . Big data is shifting from concept to practical application, and more and more successful cases are emerging in different fields one after another.

IBM Japan's Economic Indicator Forecasting System searches for 480 economic data affecting the manufacturing industry from news on the Internet and calculates the Purchasing Managers' Index PMI (Purchasing Managers' Index) forecast. And IBM analyzed this PMI prediction value based on the news on the Internet, the accuracy is quite high; Indiana University scholars use Google to provide mood analysis tools to users 9.7 million messages, 2-6 days in advance to predict the Dow Jones Industrial Index, the accuracy rate of 87%. In China, "Taobao CPI (consumer price index)" this index through the collection, compilation of Taobao turnover proportion of 57.4% of the 390 categories of popular commodity price trends, reflecting the overall situation of the online shopping market as well as the consumption of the mainstream urban population; Alibaba based on Taobao small and medium-sized enterprises on the Based on the transaction status of SMEs on Taobao, Alibaba screens out financially healthy and honest enterprises, so as to lend money without guarantee. Currently has lent more than 30 billion yuan, the bad debt rate of only 0.3%, much lower than commercial banks; In addition, the use of cell phone user identity and location detection can be real-time dynamic grasp of the source of the mobile population and the distribution of the situation, but also real-time grasp of the traffic flow situation, you can learn about the aggregation of the sudden events and so on. In various fields, mastering the huge data information, and specialization of these data containing meaningful processing, big data has an unusual commercial value. In other words, if big data is compared to an industry, the key to the profitability of this industry lies in the improvement of the "processing capacity" of the data, and the "value-addedness" of the data is realized through "processing". ". Now, the value of big data has been tapped in many industries. In this regard, Wu Hequan, academician of the Chinese Academy of Engineering, pointed out that the attributes of the service industry of big data itself is greater than the manufacturing of big data hardware and software; big data on the impact of other industries is greater than the impact on the information industry; big data is greater than the social effects of direct economic benefits. Therefore, the impact of big data and the widespread importance of the spillover benefits are obvious. At present, most companies are using big data analysis for customer analysis, then operational analysis, integrity analysis; in addition to application and innovation of new products and services, enterprise data warehouse optimization. Big data spending the largest industry, one is discrete manufacturing, the second is banking, the third is process manufacturing. In the "Thirteenth Five-Year Plan" adopted in March this year, there is a chapter dedicated to promoting the healthy development of the big data industry, and proposed to deepen the innovative application of big data in various industries, to explore the synergistic development of the traditional industry and new forms, new modes, to accelerate the improvement of the industrial chain of big data.

"We need to strengthen research, increase investment, comprehensively use all aspects of technology to master data resources, strengthen the mining and analysis of big data, realize innovative applications in various industries, and tap the deep value of big data.