The 2012 Chinese film Market, "Thai embarrassment" has undoubtedly become the biggest black horse, but several laughter several worries, before the "1942" has become the film market the most desolate spectators. And before the release of a lot of film and television experts optimistic about the "1942", when a new establishment soon through social media data forecast movie box office site to do the first box office forecast analysis, the data forecast company concluded that the "1942" box office will not exceed 400 million, want to earn money estimate is very hanging.
Then reality proves that the data doesn't lie, that the fragmented unstructured data that is buried in social media, like huge treasures, depends on what tools you have to dig out. The start-up, the founding partner of Wang Yuquan Capital, is one of the most invested companies based on big data analysis in the social media sector.
Wang Yuquan, chief advisor of Frost & Sullivan, founding partner of the Bank of silver. The bank's capital, an institution that hatches and invests in social-networking applications, has hatched more than 15 social networking companies, actively promoting social media and large data-related research and application research. He is a man who firmly believes in the power of data and reason.
"Big Data China" recently conducted an interview with Wang Yuquan to find out how much energy is hidden behind the great glamour of social media and big data.
New bottle of wine, big data is always there
Big data can fire because big data has real business value and is related to the development of technology, there are several reasons: in the past, there is a large number of data, but there is demand without data sources, can not meet the needs of enterprises. At present, through the current technical means, can obtain these data, so large data is born. In particular, the rapid development of smartphones, through the terminal, data can be effectively accumulated, coupled with the development of cloud computing technology, the support of the cloud platform so that large data can be better run.
The big data is the new connection to the isolated data.
Now the advent of social networking makes it possible for us to see more of other people's relationships through one person. If you want to analyze a person, it is necessary to analyze and extend its historical situation, for example, a person has done contingency events, the former do not dare to extend the forecast, will only predict that he will do the past repeatedly do, the contingency completely excluded, such a prediction result is convergent. But with social data, everyone's data is in a whole pool of data. Before understanding the data is isolated, your behavior is not related to my behavior, but the data pool large data can not be isolated to understand, your previous data, can only be used to predict you, can not use to predict me. But now, based on social relationships, it becomes a 1-degree relationship, where your data can be used to predict me. The whole idea of big data is the idea of seeing the problem as a whole, which is to see all the problems from God's point of view, and then to see a certain spot. At such times, this point is in the surrounding environment.
Social media makes the data relational, resulting in greater value
Large data, in essence, is the simplest idea to consider the problem. But the additive effect from the large data superposition is completely breakthrough. Innovation Point is that the previous data accumulation is fragmented, and now the data accumulation for the system, can let us from a more holistic perspective to think about the problem, consider the time factor, interpersonal impact factors, trends trend factors, consider more realistic factors.
Google is the most typical example of Android. Google wants to make social data that includes businesses that are related to foreign affairs. If it is isolated data, then you are receiving a pile of computer information, computer and computer, although there are links, but can not represent too many things, this is a physical connection, and human connections means that a lot of information, each other can affect each other. So Google makes Facebook its biggest competitor, and Google may have more data than Facebook, but the data is not as high as Facebook. Facebook is a network of social relationships that turns an unordered data into ordered data.
Modern traffic risk coefficient is high, but we can not go back to the carriage times
Data collection is not completely without rules and is now accumulating rules. Sina Weibo is a special case, it is an open data, the user micro-blog information is public, for this Open data acquisition is unrestricted. The rules for future acquisition will be gradually regulated. Now the government began to do data collection standards, users or enterprises can get how much data, no longer is the platform to decide. How much data can be taken in the future, what should be taken, what should be taken, and which will be constrained? On the one hand, the industry will gradually standardize, on the other hand, the regulatory body will be perfected. Emerging industries are like this, at the beginning of the chaos, and slowly everyone to the rules of the clear, then the regulation is up.
Large data is a development trend, although will encounter a variety of problems, but the trend is irreversible, like modern transportation has drawbacks, but people will not return to the carriage era. So large data is also so, even if there is a hidden danger, but it can not be wasted.
Big data will strengthen our search for the unknown.
Analysis based on large data will lead to more predictions. But the big data is actually the most predictable part of the human machine, like when you get up today and what time you get up tomorrow. Big data is not creative, people will pay more and more attention to the power of data, but diversity still exists, creativity is the greatest value of mankind. Large data is based on rules, and large data cannot be predicted without rules. In fact, it is precisely because the big data has done the rule-based thing, so that we have more time to explore the irregularities.
"If the big data can predict what's wrong with my route, then I can think about creative things without thinking about driving, so it will energize us and strengthen our exploration of the unknown because we have time to explore." Wang Yuquan, for example.
Learn to use data to have a better future
Because of the information is not transparent, the former business by price competition, but this in the Big Data era, the competition depends on service competition, relying on personalized competition. Service personalization is based on the understanding of large data, from other people's behavioral data to analyze his behavior characteristics, needs, and then do personalized delivery, the era has become the advantage of the algorithm to have more development opportunities. "The large data of the gold mine is here, see you will not dig, will not lian." ”
People also have to learn to use large data. Now a lot of controversy is very interesting, such as, micro-BO micro-letter came, the people are very annoying, information suddenly from insufficient to sudden excess, and rumors flying. A lot of people have said to that time how good ah, a chat is the people's daily, but that era can not go back, so you have to adapt to the big data age. In fact, the future people's demand for happiness is the same, but the future success is different from ours. In the past you can succeed, in the future may not be able to succeed, this time we have to face the future to think. In a big data age, you can read data, think rationally, and use tools, and you'll be good.
Big Data is an intangible treasure, but not all gold.
If it's a purely technical big data, it doesn't make much sense, and I value the business of large data. If the theory of meteorology is also large data, but we are not interested, because we still have to be practical, to change the world, and to provide services. We have to think about what big data can do to solve real-life problems.
The excavators are the same, you dig up the sand, he digs up the gold, that's different. It is the difference to see whether there is sand or gold in the ground. Some of the domestic indiscriminate of technical research, dug to say, this is the Chinese bad place. The way to study abroad is to see where there may be gold, so you see Nicolas Christagis (the author of the "Big Link", which was launched in 2013 by Renmin University Press), pondering one thing, he saw some phenomena based on strong relationship, such as the old couple always one dead, the other live soon, He found this interesting, valuable, to study, he would find gold. There may be gold, which requires us to be sensitive to veins, but we are not sensitive to veins in the present Chinese environment.