Covering Disruptive Technology Powering Business in The Digital Age

Home > DTA news > News > Big data be the core resources in Internet revolution
Big data be the core resources in Internet revolution


“The future intelligence manufacturing will be the cross-border big data, which is combination of user big data, manufacturing process big data and supply chain big data. For the double-11 festival of the next year, we will prepare the materials and produce accurately, and how much parts to be stored and when can the production line be opened can be calculated based on the historical data.” Guo Taiming, the chairman of Foxconn Group interpreted the significance of big data.

Similar to his opinion, on this World Internet Conference, almost every guest involved with the “big data”. Ma Yun, Chairman of the board of directors of Alibaba Group directly compared the data with the coal and petroleum, main roles in former two technical revolutions, “data is the core resources in this internet technical revolution, data will the production materials and calculation will be the productivity in the future.”

The foundation of big data application sources from the efficiency improvement and cost reduction benefitted from the technical advancement. Yang Xu, the president of Intel (China) indicated, “For DNA sequencing, it took one month and USD 10 million to analyze the DNA of one person 10 years before; now it takes one week and USD 1.5 thousand to do that. Our goal is 24 hours and USD 5 hundred to do that, it is the reform of data.”

According to Ni Guangnan, academician of CAE, big data stands for 4 abilities. “The first is integration and fusion ability, the value improvement from collection of huge amounts of data; the second is calculation ability, the data can be utilized rapidly through cloud calculation; the third is insight ability, people can find new laws among the matters; the fourth is foresight ability, it can help people to make decisions.”

The combination of such 4 abilities will lead to the intelligence as the right moment. For the internet company, the application of big data has not been an illusion. Wang Xing, CEO of Meituan Comments gave a piece of interesting data during his speech on the forum. “We have 7 million orders every day, but the average time for take-out service is only 28 min. The speed comes from the real-time dispatching and distribution system. Analyzed from the big data, we has an obvious understanding on the status and distribution of the deliverymen on the one hand, and on the other hand, we has an obvious statistics and forecast on the demand of the consumers, on which based, we can allocated the transport capacity resources intelligently.”

Reid Hoffman, the Executive Chairman and Co-founder of LinkedIn, a recruiting website, also told the big intelligence of big data. “In Utah of the US and Manchester of the UK, based on the company’s demand data and resume data on the internet, we help the city to analyze which industries can provide posts, what the form of post will be in the future, and what skills is the unemployed equipped with. Through such analysis, the city can provide the targeted employment resources to help the citizens for employment again.”

However, the energy of big data does not only stop here, and it is promoting the development of new mode. “Even before 5 years, the traditional enterprises could not be aware of the significance of data. But today, the data has become the center of our new social ecosystem.” Yan Zhi, the Chairman of Zall Group, told to the reporter, “North Hankou Market with area of 5 million m2 and Tianjin E-commerce Mall with area of 3 million m2 are under Zall Group. Based on the experience on traditional wholesale market business, Zall Group established a wholesale market online trading platform with the annual trading amount exceeding RMB 43 billion yuan to acquire the data. Depending on such offline and online data resources, the Group started to provide smart freight service and financial service based on supply chain, forming its own ecological closed-loop.” From his opinion, it was critical to utilize the data resources accumulated as the traditional enterprise for the conversion of a traditional enterprise.

“The actual scenarized big data can form new commercial logic.” Zhang Fayou, the president of WiFi Master Key, proposed an example, “The owner of a nail salon down the street cannot afford the cost for outdoor or TV advertisement, but the shopkeeper can deliver promotion information to the young females within 5km accurately through WiFi Master Key. The realization of such accurate launch benefits from the matching of human and scene, which improves the advertisement launching efficiency and reduces the cost. However, the precondition is that you can draw a portrait for the user and know what kind of people they are.”

However, the development of big data application will not be always in plain sailing. Deng Maicun, the secretary general of Chinese Academy of Sciences believed that it was the necessity to strengthen the training of big data professionals. “We should innovate the talent cultivation mode, establish multiple-layer and multiple-type big data professional training system, emphasize to train big data professionals, such as professional data engineers, and pay attention to cultivating the inter-disciplinary talents equipped with multi-subject knowledge, such as statistical analysis, computer technology and economic management.

More practitioners expect the government can open their data resources more quickly and widely. On the sub-forum of “Internet + travel” on the 17th day, “Travel Cloud”, a comprehensive travel platform big data open cloud platform developed by Ministry of Transport and Baidu map. As the first travel big data opening platform in traffic field, this platform has been accessed to the related data of competent departments of transportation in 15 provinces and cities in China. Li Zhitang, the general manager of Baidu map opening platform, said, “It is necessary to establish a multi-win system for promoting data opening by government.’ data-into-service ‘is a quite feasible idea. For example, the government shall install GPS device for the goods stock based on supervision requirements. The government provides data for us, and we provide technology and ability to transfer the data into road conditions and provide services for public and government decision making, thus the government will have a positive intention to open the data. “

This article was originally published on and can be viewed in full