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Big data application challenges and opportunities coexist Who will achieve "curve overtaking"

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Industry information
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Source:
China Intelligent Manufacturing Network
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[Abstract]:
 Although China's big data application is still in its early stage, it has far-reaching significance for China's economic transformation and development, and it has a promoting effect on enhancing the intensification of the entire economy and society. The development and operation of big data application products has also become an opportunity and challenge for many technology companies to “turn over the road” in the new round of competition.

  Although China's big data application is still in its early stage, it has far-reaching significance for China's economic transformation and development, and it has a promoting effect on enhancing the intensification of the entire economy and society. The development and operation of big data application products has also become an opportunity and challenge for many technology companies to “turn over the road” in the new round of competition. With the big winds of big data, there will be a large number of big data companies that stand out in the application of the industry. Become a unicorn company in the industry.

  The big data industry has gone through the concept phase, the exploration phase, and the market startup phase. It has matured in terms of acceptance, technology, and application, and has begun to enter the rapid development stage of the industry. The huge application value of big data has driven the rapid development of the big data industry, and the scale of the industry has grown rapidly.

  First, the growth rate of the big data market is accelerating, and applications in various industries are constantly emerging.

  IDC predicts that the global big data market will grow from $3.2 billion in 2010 to $17 billion in 2015, with a compound annual growth rate of 40%. In the future, with the gradual emergence of application effects and the continuous deepening of application scenarios, some successful cases will have a demonstration effect. It is expected that the size of China's big data market will maintain a high growth rate of around 40% from 2016 to 2018.

  With the maturity of big data technology, the focus of the market has rapidly shifted from concept hype to practical application, and the value of the business model of data industry product application has been further highlighted. More and more successful cases have emerged in different fields, and big data applications have gradually taken root.

  Second, China's big data sub-industry application challenges

  Due to various factors, China's big data application is still in the early stage of development, mainly in:

  ? The data is rich and open enough

  A rich data source is a prerequisite for the development of the big data industry. The total amount of digital data resources in China is far lower than that of the United States and Europe. The limited data resources have the advantages of standardization, accuracy, low integrity and low utilization value, which greatly reduces the value of data. At the same time, China's government, enterprises and industry information systems lack uniform standards, and many "information islands" have been formed. The data is less open and difficult to share, which causes great obstacles to data utilization.

  Data mining and analysis tools need to be improved

  To process big data in a low-cost and scalable way, you need to refactor the entire IT architecture and develop advanced software platforms and algorithms. In this regard, foreign countries are once again ahead of us. In particular, big data processing software platforms such as Hadoop developed in the open source model in recent years, and related industries have been initially formed in the United States.

  However, the foundation of China's data processing technology is weak, and it is mainly based on follow-up, which is difficult to meet the needs of large-scale application of big data. If big data is like oil, then the data analysis tool is the technology of exploration, drilling, refining and processing. China must master the key technologies of big data in order to turn resources into value. It should be said that to go through this hurdle, open source technology provides us with a good foundation.

  Model innovation and business development are still insufficient

  Although the application of big data in 2015 has been extended to various fields, the application models are similar, and the application model innovation needs to be further strengthened. The purpose of applying big data in enterprises is to expand new business, develop new products and innovate value-added services, mostly in improving existing business, selling existing products or controlling costs.

  Third, China's big data sub-industry application opportunities

  Under the background of rapid development of global information technology, big data has become an important basic strategic resource of the country and is leading a new round of technological innovation. At present, China has a certain foundation in the development and application of big data, with market advantages and development potential.

  The development of the international big data industry is more mature. Based on the broad development prospects of big data, various provinces and cities have also introduced big data development plans. Promoting the development and application of big data-related industries is becoming a major strategy to seize the new round of economic and technological development, and actively use big data as an important opportunity to enhance local development.

  ? The market growth rate has slowed slightly, and application has become a new growth driver.

  It can be seen from Gartner's latest technology maturity curve in 2014 that big data technology is beginning to mature and become more easily applied by industry market. Technology innovation and business model innovation promote the application of various industries, and the value of application creation is in the market. The proportion in scale is increasing and becoming a new growth driver.

  Regional development is still uneven, and information infrastructure and data resources are key

  Developed countries in Europe and America have a first-mover advantage and are in a leading position. China, Japan, South Korea, Australia, Singapore and other countries have their respective advantages and followed closely. Most other countries have developed relatively slowly, and they have remained at the stage of conceptual speculation and infrastructure construction.

  ? The industrial ecology is continuously optimized and the infrastructure construction is more reasonable.

  Open source technologies such as Hadoop, Spark, and Storm have been more widely recognized and applied, and the big data technology ecosystem has formed. At the same time, governments, enterprises and industrial organizations attach great importance to the establishment of ecological data in the big data industry and environmental optimization, and constantly build infrastructure, formulate laws and regulations, policy systems and data standards, improve the big data ecological environment, and improve the country's control over data resources. Capabilities and core competencies.

  ? Regional industry gathering is taking shape, cooperation and development into a normal state

  The development effect of China's big data industry agglomeration began to appear, with four clusters of development areas in the Beijing-Tianjin-Hebei region, the Yangtze River Delta region, the Pearl River Delta region and the central and western regions, each with its own development characteristics.

  The big data boom has spawned many new technologies, but the real value lies in the interconnections between these technologies and the connections between technology and tools and applications that allow our tools and applications to deliver to end users. More precious insights.

  In the next five years, big data and cloud convergence will rely on the cloud to provide big data services. In the future industry landscape, the sharing economy will expand from individuals to enterprises. Enterprises will use their best ability modules and scarce resources. Modules participate in the API economy to maximize API value.

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