Chapter 406: The Era of Big Data

The opening of the first data center of Guanghui Data Center Co., Ltd. marks a new stage in the data analysis capabilities of Guanghui Group's intranet, Meituan.com, Tudou.com, YY Live, Guanghui Weibo and other companies.

According to Jiang Hui's hopes for Guanghui Data Center Co., Ltd., the company will focus on building its own data centers and providing data storage services for the group's companies. Then carry out the analysis and research of big data, and at the same time carry out the research and development of cloud computing, and strive to launch the "Glorious Cloud" service in the second generation of Guanghui mobile phone, which will presumably be a highlight of Guanghui mobile phone at that time.

By definition, big data is a kind of data collection that is large enough to greatly exceed the capabilities of traditional database software tools in terms of acquisition, storage, management, and analysis, and has four characteristics: massive data scale, rapid data flow, diverse data types, and low value density.

In Jiang Hui's view, big data technology is a forward-looking technology of strategic significance. It's not just about having a huge amount of data, it's also about professionalizing the data that has meaning. In other words, if big data is compared to an industry, then the basis of this industry is to have a huge amount of data information, but the key to achieving profitability is to improve the "processing ability" of data, and realize the "value-added" of data through "processing".

In order to grasp the huge amount of basic data, in addition to the Korn Ferry Group, all kinds of companies under it have accumulated a large amount of data, and the more important way to obtain it is through cloud computing.

In fact, big data is just a symptom or feature of the development of the Internet to the present stage, and there is no need to myth it or be in awe of it. It's just that Jiang Hui popularized this concept in advance and considered putting it into practical use.

The information on the Internet can be said to be infinite, and if it can be supported by technology represented by cloud computing, these data that seem difficult to collect and use will slowly begin to be easy to use. Through the continuous analysis of data from all walks of life, big data will gradually create more value for human beings.

Unlike other companies in the Korn Ferry Group, the future of the Korn Glory Data Center Jiang Hui recruits a large number of graduates from the Department of Mathematics to join the company to provide strength for data analysis.

In fact, big data has always existed in people's lives, but this "big" word represents different content at different stages, on different occasions, and in different fields.

Since 2004, USTC has pioneered the method of "invisible funding" among universities in the country, which is actually a real operation of big data.

In terms of specific operation, USTC has issued a living subsidy of 160 yuan to male and female students who eat more than 60 times a month and the average cost of each meal is less than 4.0 yuan and 3.7 yuan respectively, and more than 400 students receive assistance every month.

Although this statistical analysis of data is not perfect, for example, some girls may reduce their spending amount in order to lose weight, resulting in bias in some of the results of data analysis. However, this trend is very good.

Expand to a larger field, and the application will be more extensive.

Wal-Mart, the global retail giant, found that male customers often treat themselves with a few bottles of beer when buying baby diapers, so they tried to introduce a promotional method that puts beer and diapers together. Unexpectedly, this initiative actually led to a significant increase in sales of diapers and beer. The data analysis results of beer + diapers are one of the classic cases of big data technology application.

There is also a more well-known and interesting case of big data analysis in later generations. According to the Taobao data platform, the most purchased bra size is the B cup. B cups accounted for 41.45%, of which 75B had the best sales. This is followed by the A cup, which accounts for 25.26% of purchases, and the C cup is only 8.96%. Among bra colors, black is the best-seller. Ranked by provinces and cities, the girl with the largest boobs is the Xinjiang girl. Using these big data, we quickly analyzed the cup situation of women across the country.

The impact of big data on advertising, public opinion analysis, shopping, finance, etc. is very large. Netizens such as the Radiant Glory Group, who are almost all in the Heavenly Dynasty, are users of one or several companies under their own, and if this information can be fully utilized, the effect will be earth-shattering. If nothing else, precision advertising and marketing alone is not something else for ordinary competitors. After using big data, perhaps Korn Ferry Group will spend 10 million on advertising, which will achieve better results than competitors spending 100 million.

"Flash rain, next, in addition to focusing on the hardware construction of the data center, you should also pay attention to software development and data analysis at the same time, which is missing will also affect the company's strength," Jiang Hui said.

"Well, I plan to recruit my own analysts, and at the same time, I will cooperate with the mathematics departments of Kyoto University and Teito University of Technology, and use their sufficient theoretical knowledge and a large number of human resources to achieve rapid improvement in data analysis," said Shanyu.

"That's a great idea, colleges and universities are a cornucopia of potential, but they don't know how to use their power yet. When we help them, we are also helping ourselves to achieve a win-win situation for both parties," Jiang Hui said.

"Yes, we provide funding, they do their analysis, the commercial results and patents belong to our company, and the academic achievements belong to the school, so I think many professors in the mathematics department will be interested," said Shanyu.

In colleges and universities, it is relatively difficult for mathematics departments to get funding, at least not as easily as those engineering majors.

The work of the Department of Mathematics is more of a basic research work, and it is often not an output if it is invested, or even it will not be produced for several years. Even if something is researched, it often does not involve patents, and it is difficult to obtain direct benefits, so for the mathematics departments of most universities, it is actually a very good cooperation project to cooperate with Guanghui Data Center to research new data analysis theories.

By extension, the application of this research project is combined with business, and the algorithms required for various commercial functions are not necessarily the same, and this project will be in demand for a long time in the future.

"Go ahead and arrange it as soon as possible, find a few more schools to do it together, and don't be afraid to spend money. We work together from multiple perspectives," Jiang said.

Guanghui Group now has a relatively high demand for data analysis in various companies, whether it is the school intranet or Guanghui Weibo, they have accumulated a large amount of data, but how to use these data, the current is far from good.

(End of chapter)