"How can a 40 million-worth baseball team compete with a 140 million team and win a billion?" "In the film Penalty Gold", Brad Pitt, the president of the American Oakland Sports baseball team, is using a computer program to analyze the game data, making a baseball team that is only a "triple flow" win another victory, and even the ability to compete with the famous New York Yankees.
The film, which was hit in 2012, received six Oscar nominations, including Best films, and for the internet industry, it used a rather extreme "cock-and-thrust" play to herald a new era.
In this interview, many investors have invariably to the South reporters that 2013 will be a large data field of investment in the layout of the year. At the same time, they also believe that in this area, there is a high likelihood of the birth of the next Google or Facebook.
Big turn, where's the meat?
It may sound exaggerated to say that a film has opened a new era of information, but the "big data" concept is becoming more and more unquestionable.
Former Yahoo China general manager, Sina Weibo community Committee expert members of the well-known it commentators Xie to the South reporters predicted, "1998 Yahoo listed." Eight years later, Google listed in 2004. Another eight years later, Facebook went public in 2012. In another eight years, a new internet giant will be born in 2020, most likely a big data company. ”
Perhaps it is in this trend, at the end of 2012, when Sina Weibo for corporate micro-blog new to pay micro-bo marketing to play the "micro-task" function, before the parasitic in Sina Weibo platform on the grassroots micro-Bo marketing company to standardize the rectification, many people even shouted out "grassroots large has died, big data analysis marketing in the mainstream" 's slogan.
In an interview with South reporters, hands "global fashion", "Europe and the United States Street Beat", "Select Quotations" and many other grassroots large real control of the wine Red Ice Blue (net name) said: "The first time I heard someone shout such slogans, my heart straight to laugh, because the fact is not so." ”
According to the wine Red Ice Blue Introduction, Sina Weibo was established in October 2012 since the media Association, by Sina COO du as the chairman of the Association, Wine Red Ice blue and another grassroots large control Iguang as the Joint Secretary-General. "From then on, we are no longer grassroots, we have a new name ——— from the media. "Can remove the" grassroots "hat, become a" media ", wine red ice Blue is very happy.
For Sina, the move is equivalent to the previous spontaneous growth of micro-blog marketing company (or individual) carried out a "amnesty", through the official platform of micro-task, the grassroots are forwarding advertising information channels, pricing, information authenticity or not unified management.
"So, for us, after the regulatory adjustment, it's not more difficult to do business, it's becoming more and more fair and transparent." "Our company has just had an annual meeting, and I can tell you, according to our sales department, that next year the company's revenues will be more than doubled this year," said the reporter. ”
However, claiming to be ignorant of the technology of wine red Ice Blue also to the South reporters frankly, although he knows very little about the current "big data" concept, there are many grassroots marketing companies that have begun to address other social platforms such as micro-letters, insisting that the marketing ecology of Sina Weibo has been developing for many years, The more mature the ability to become present, will still become her focus. At the same time, she also believes that only with the real master of "large numbers of data" to go, you may have meat to eat.
At this point, the wine red ice blue is not wrong. Returned from Australia in 2011, establishment of Word-of-mouth and public opinion analysis based on large data way company Shaanxi Knowledge Generation Logistics Information Technology Co., Ltd. (hereinafter referred to as the general Operations) founder Li Zhejun also said to the south, the current for small companies in large data areas, the biggest obstacle is from the information access channel is not smooth.
Xie repeatedly to South reporters stressed that in the future, the Internet's massive data must be open, data acquisition capacity will not become big data companies long-term development of competition barriers. But at the moment, Li Zhejun can only work with bosses to get the official High authority interface, using distributed data acquisition tools with independent intellectual property rights, and working with third-party companies to get as much data as possible.
And another start-up that uses large data to manage chronic diseases, Guo Hui, co-founder of Cloud Medical Technology (Shanghai) Co., Ltd. (hereinafter referred to as Cloud medicine), said to reporters in the south, in addition to the introduction of the top foreign time biology laboratories collected more than half a century of data and analysis models, They also intend to accumulate their own database gradually.
Big data is not necessarily big data
But wait. What is the big data? Is the data big data? How big is the big data?
Faced with these problems, industry experts, investors and entrepreneurs, almost everyone has their own understanding and answers.
Xie, in one of the Big Data Age series, which was written last May, "data is not necessarily big data," points out whether a company in the web industry can claim to have large data, at least from three dimensions, namely, data size, data structure and data correlation.
In other words, if a website has 100 million users, but they only do the same kind of things, such as browsing the news, shopping, or playing games, then the resulting data volume, although not small, but the structure is simple, high repeatability, relatively easy to analyze, just according to the user background and use habits to classify the group can, That's not really big data.
Similarly, if you have 10 of products and services on a website, isolated from each other, resulting in the same user's 10 of network behavior data can not be effectively integrated together, or need to pay a high cost of integration, thus reducing the data can be mining, so no matter how large the data, the structure is more complex, also can not form large data.
(Responsible editor: The good of the Legacy)