China should take large data as the commanding point of competition strategy of science and technology industry

China Big Data

China should seize the opportunity, integrate the national strategy, create a new business model, and take large data as the strategic commanding point of the new technology competition and industry competition.

Wen/"Lookout" Newsweek reporter Han Yuafei

When the domestic Taobao, Jingdong and Suning is also in the Double 11 promotion pitched, the originator of the Amazon but chose a simple and hearty road: on the page for each consumer-tailored products recommended. It believes that the intimate recommendations made using large data technology are a more profitable and enduring means of making a contribution than the overwhelming but aimless merchandising.

This is not just a company's behavior. On March 29, 2012, Obama unveiled the big Data Research and development initiative on the White House website, which promises to provide more than $200 million trillion of new money to develop big data technologies.

By inferring the most accurate product information recommendations from the record of consumption habits, Amazon has been at the forefront of its vast database and its acumen for large data. Domestically, electric dealers and IT companies accustomed to traditional business models have also noticed trends in big data and have begun to layout.

Large data drives information industry innovation

Large data refers to the large volume of data that a general software tool is difficult to capture, manage, and analyze. Generally with "too byte" as the unit, large data "big", and not only in the "capacity of the big", the greater significance lies in: Through the massive data exchange, the integration and the analysis, discovers the new knowledge, creates the new value, brings "The Big knowledge", " Big technology "," big profit "and" Big development ". Shiji, an information management expert, defines big data in his monograph.

According to the IDC (International Data Company) monitoring statistics, 2011 Global Data volume has reached 1.8ZB (1ZB equals 1 trillion gb,1.8zb is also equivalent to 1.8 billion 1TB of mobile hard disk storage), and this number is increasing every two years, is expected to 2020 globally will have a total of 35ZB data volume, growth nearly 20 times times.

American social thinker Toffler in the third wave, said, "If IBM's mainframe opened the information revolution of the big screen, then the big data is the third wave of the CLS movement." "Big data will bring new growth points to the information industry." Faced with the massive data of explosive growth, the information system based on the traditional architecture is difficult to deal with, meanwhile, the traditional business intelligence system and data analysis software, faced with the large data, such as video, picture, text and other unstructured data, are lack of effective analysis tools and methods. Information system is facing the urgent need of upgrading, which brings new and broader growth point for information industry.

Wikibon, an Open-source analysis agency, predicts that global data companies will have a revenue of $5 billion trillion in 2012, with a growth rate of 58% in the next 5 years, up to $50 billion by 2017. IDC predicts that the market for large data technology and services will climb from $3.2 billion trillion in 2010 to $16.9 billion in 2015. Despite the differences in the size of the forecasts, the high growth rate suggests that two institutions are confident about the prospects for big data. From the actual view, as the first focus on large data field of listed enterprises, splunk with large data monitoring and analysis business, operating income for 4 consecutive years to achieve more than 80% of the high-speed growth.

The big data will accelerate the innovation and integration of information technology products, said the authoritative experts at Sadie think-tank. New products, technologies, new services and business patterns are emerging for large data markets. Large data is confronted with the challenges of effective storage and real-time analysis, which will have a significant impact on chip and storage industry, and promote innovation of integrated data storage processing server and memory calculation. The requirement of rapid data processing and analysis will promote the application of business intelligence, data mining and other software in enterprise-level information system, and become an important means of business innovation. At the same time, the rapid development of IoT and mobile Internet makes the data produce speed and scale up, so it is urgent to use large data means to analyze and process and refine the effective information. Large data applications also give cloud computing a way to get to the ground, making business innovation and service innovation based on cloud computing a reality. And in the above areas as a breakthrough point, large data will promote the entire information industry innovation and development.

Big data will change the face of economic and social management

As an important strategic asset, large data has penetrated into every industry field and department in different degrees, and its application in depth not only contributes to the business activities, but also helps to promote the development of national economy. The McKinsey study shows that in healthcare, retailing and manufacturing, big data can increase productivity by 0.5%-1% a year.

The macro level, the big data allows the economic policy-making sector to more keenly grasp the direction of the economy, and to formulate and implement scientific economic policies, said the authoritative experts at Sadie think-tank. In microcosmic aspect, large data can improve the level and efficiency of business decision-making, promote innovation, bring value to enterprise and industry field:

One is to increase income. Retailers can grasp market dynamics and respond quickly through real-time analysis of massive data, increase revenue through precision marketing and improve efficiency. In manufacturing, by consolidating data from the research, engineering and manufacturing sectors for concurrent engineering, it can significantly shorten time-to-market and improve quality; in marketing and marketing, large data can help consumers find more suitable products within a more reasonable price range to meet their own needs and increase value-added. Third, promote innovation. Companies can find the source of innovation from the historical data of product development, production and sales, find new partners from large data of customers and consumers, and discover additional value-added services from the large data of after-sale feedback to improve existing products and services and innovate business models.

As an important information technology, large data technology is becoming more and more prominent in improving the ability of safety assurance, emergency response, optimizing public service and improving social management level. Enhance the safety and security capabilities. The application of large data technology in the fields of national defense, counter-terrorism and security can automatically classify, organize, analyze and feedback the information from various channels, effectively solve the problems of intelligence, surveillance and reconnaissance system, and improve the national security and safeguard ability.

(Responsible editor: The good of the Legacy)