Hand swim Big Data overrun do not blindly optimistic to believe

What is Big Data

Choose from Baidu Encyclopedia on the definition of large data: large data, or huge amount of data, refers to the magnitude of the data involved can not be through the current mainstream software tools, in a reasonable time to achieve capture, management, processing, and collation to help the business decision-making more positive purpose information.

Gartner has given the definition that "big data" is a massive, high growth rate and diverse information asset that requires new processing models to have greater decision-making power, insight and process optimization capabilities.

The embodiment of large data

It seems that everyone knows the role of large data, but as more and more cases of data co-ordination, large data from the "specialization" towards the "entertainment." Big data is starting to become less real.

Large data can help us to solve the problems of decision making and choice, in the past two years, large data has been applied to all walks of life, to the user, the market analysis, and then forecast, design related activities. You can even predict income. All these predictions are based on the reference of large data, and after certain analysis, draw the closest to the real conclusion, and make a basis for the decision makers in the choice.

Another http://www.aliyun.com/zixun/aggregation/33179.html of big data "> Important role is" choice ", regardless of your age, sex, education background, people will face the choice problem, Large data through your historical behavior, to determine your preferences, and even demand, the best results recommended to you.

Wal-Mart has found that the sales of beer and diapers are very close, and they have found that this is caused by a social phenomenon. There are many young couples in the United States, after the use of diapers, the hostess home with children, and the male owner went to the supermarket to buy diapers. After the diaper is bought, the male owner usually comes along and buys some beer. Diapers and beer are naturally unrelated to two categories of goods, but data can often make you see seemingly irrational illogical but exist, and often happen.

Another two hand tour industry examples, each hand swims online, the next day will lose a large number of users, many publishers according to historical data found that the recharge and loss is coexistence, consumer users are also in the loss of users, as the consumption point of users will be lost more quickly. The cake-cutting pattern is particularly evident in game users.

Midnight Peak: No matter which type of hand tour will be in the middle of the night before the arrival of online users instantly surge, and then fall back. We survey hand users found that most of the hand users will choose to go to sleep before the game to look at the habit, in fact, make use of this habit, so that users sleep before a glance to play, which is able to pull the game performance. With large data surveys and discoveries, you will find many small changes that can be exploited.

Big data on "unreliable"

The effectiveness of the data is usually referred to the quality and quantity of the data itself, but now many large data research companies often do not have a serious and responsible attitude, the same thing survey data results will be very different. In a massive amount of data, the available data is less than 10% or even lower. Data He never lies, because they're all right, but it's probably going to fool you.

Hand Travel Data Report, has long been no uniform standards, lack of proof, small survey groups and other abuses, these let the hand travel industry formed a large number of "information islands." Limited by commercial interests, data openness is also low, beggar-thy-neighbour, sharing is difficult, which implies how low the reliability of the industry's data.

Large data "theory is based on" mass data are facts ", and if the data provider false or lack of substantial basis? Because people can't control the biases of the data provider and the collector, the wind data is likely to give you the wrong information from the start, and then make you a mistake. Even Wall Street firms with the most sophisticated databases, the first to accept the "big data" idea, and the big ratings agencies in Europe and the United States often make mistakes on major issues, revealing how low the "Big data" is.

Summary: However, the social value of large data or economic value, has been widely recognized, however, when large data began to flood, whether it can be used as a basis or to help the choice can only rely on their own to analyze the comparison, to obtain the best results. Large data can only be infinitely close to reality, but not real. In particular, hand-travel industry practitioners, in the direction of the wind data before the choice or the wind is not only rely on the report, but should be from the details of the textual research to speculate. Although now is a big data age, but the industry of large data is not mature, for a lot of market analysis and report should not blindly optimistic to believe.