Liu Yiqing, executive director of Prudential Business Consulting
Liu Yiqing, an executive director of Prudential Business Consulting, has been the general manager of IBM's industrial and commercial group, and is the vanguard of big data in China. He can share big data successful application cases, but he also reminded that "idea" is the most important denominator.
"There are a lot of discussion about big data on the internet, it seems that the data should be reached" too bit "(TERABYTE,TB) is the big data, my view is not the same! 」
Hair card is for sampling
How big is the data? In fact, depending on the "use", sometimes less information is enough; "Mining" (data Mining) before the answer to the exploration and follow-up marketing strategy, to plan clearly enough, is the key to the effectiveness of big data.
An analogy with a case of non-big data may help to think about the relationship between tool and purpose. Japanese convenience store Lawson the relationship between "shop distance" and "Purchase Behavior" by issuing a membership card. They want to know: The number of people who live within the distance to Lawson shopping? How far away or which category of goods will allow consumers to choose the retailer?
Therefore, the outside world may be seen Lawson issue membership card, and Lawson is aware of their own purpose is a sample survey.
Big Data is not new
The world's largest database is the Internet, because of the gap between generations of experience, the most accurate and quick way to understand what consumers think about their generation, and to "get" information on the web, is to "know what the user thinks", which is the key to Facebook's status, but it hasn't started a big "mining".
However, the business intelligence (Business Intelligence,bi), which is owned by Big data, has been going on for a number of reasons, and it is not new to analyze a lot of "existing" data, but the huge data used by big data to add to the community, The two new elements give an unprecedented change to the existing bi.
Big Data calculates that the model (pattern) has predictive power and is much more numerous than the human brain can remember. The most typical example is the weather forecast, the typhoon path of big data analysis, even the professional meteorological personnel is difficult to remember fully.
Application, The Martian text is "cover door"
Application of Big Data, no industry restrictions, from the semiconductor industry production line quality control, consumer and financial innovation products and services, mobile phone manufacturers to collect the use of habits, to the campaign analysis of hundreds of TV talk shows, government departments tax evasion, leakage, transportation traffic, Homeland Security ..., all come in handy.
"Semantic Analysis" is one of the biggest obstacles to big data, it judged that the "overtones" of the key words will be inaccurate, but also do not understand the circle fork of the "Martian text", otherwise, as long as the use of clear goals, usually can play a big benefit.
(Responsible editor: The good of the Legacy)