Tencent to get the license of private banks, we talk about at the same time, the most fear is the merchant bank, such as customer service rooted in micro-trust financial institutions. In the big Data age, data collection will be the starting point of business operations, you will be at ease to your own data to your competitors?
Not just businesses, but everyone is afraid of big data. After Adam and Eve ate an apple in the Garden of Eden, the first thing was to cover the private parts with leaves. In the big data age, accidentally taking photos can make you famous overnight, your thoughts, actions, past business records, you actually live every day in celestial beaches.
Big data is another destructive invention of human civilization.
Now Xiao Cui and fang son are still arguing, genetically modified by the world population explosion of the gospel or harm to the human body? This debate, time will give the answer, but big data is a worthy argument, because the big data is about our habits and social rules. The side effects of big data are far greater than previously invented human beings.
The big business data is through the collection of electronic data, including mobile phone trajectory, call, information, Internet behavior, purchase, tourism, finance, and so on a full range of data collection, classification, judgment, marketing. As the opening of the domestic electric business era, Taobao gathered a staggering number of data: Each order contains not only the customer name, receiving address, the next single time and other basic information, even when the customer began browsing a certain treasure, with pre-sales customer service bargaining process, in a few minutes under the single deal, have all records. Through these information records, you can identify what you like, infer your identity, income, bank savings, family career status, and so on. In the Internet increasingly prosperous, bat three big tentacles are not up to today, more and more people's work, life, social networking are not open Baidu, Tencent, Ali, 360, such as large and small internet enterprises and even personal all-round data monitoring.
Many people think that the more data, the more detailed data, the opportunity to obtain a gold mine through the "Big Data" analysis method. But when these websites know more about you than your mother, what you feel is not caring, but horror.
The current large data analysis, lack of sampling criteria, does not represent a real causal relationship.
In traditional statistics, the most important is the sampling of data. For example, the effectiveness of a drug, need two groups of people, in strict experimental conditions, long-term tracking, to all the conclusions. Now, large data analysis is often the accumulation of data and simple correlation analysis. From strict science, it is a pseudoscience. Because the data is only data, but the past, simple data accumulation does not indicate any problems, can not really judge a person, predict one thing. If you're marketing based on big data, that's really scary. From the following aspects, you can see why big data scares you:
1. Fear of identity theft
In the mobile internet age, more of our friends appear on the internet. Social networks, QQ, micro-credit, micro-blogging instead of face-to-face interpersonal communication, virtual communication is changing the world and people. When applications based on large data are popular, there will be a large number of people who borrow and steal network identities for personal purposes. Perhaps you have never left your home, your network of large data is suspected of crime.
2. Fear of data fraud
Today, everyone, every business and business is changing the data more or less. Because of the complexity of various interests, the reported data often vary from occasion to date. In the big data age, intentional cyber-data counterfeiting can also be a business area to help people or businesses with ulterior motives make data.
3. Fear of data framing
More complex than big data is people. From a psychological point of view, making a choice means abandoning other possibilities, which is an unusually difficult thing to do. People's understanding and choice should be for a variety of reasons, a leap of change. If according to the data analysis, throws a person into a basket lifetime frame, accordingly gives him not only is the certain kind of commodity, then decides that he can engage in certain matter, limits his network vision, is also very unreasonable.
For example, the large data as a precise advertising standards, although there is a certain rationality, but not absolute, this is because of the human purchase psychology is very complex. For example, there is a consumer just browsing a car, followed by car advertising through various means and channels of indiscriminate bombardment, in addition to harassment, and no effect.
4. Fear of data inequality and data discrimination
Relying entirely on large data for analysis and classifying people will actually touch on social injustice and discrimination. As a business, considering the operating costs, marketing profits and efficiency, in fact, secretly will play a variety of small 99, rather than the surface of all types of consumers alike. There is no doubt that high-end consumers are the favorite of all types of enterprises, while low-end consumers make enterprises frown. But what about now? Each person's consumption record and various data are collected and collected electronically, and every move escapes the record of large data. For insurance company marketers, all of your information data can be at a glance, without your opening, he has to determine whether you need to be insured, premium standards, and so on, consumer data records and after-sales service records, even can let sellers pick buyers, it is not impossible to include you in the customer blacklist.
Inevitably, once it becomes the data poor, it will face discriminatory services, and all consumers are equal will be history.
5. Fear of data monopolies
The current business situation is: The two-party data monopoly power is forming, one side is state-owned enterprises, such as telecommunications, electricity, hospitals and so on, one side is the bat-centric Internet boss. In particular, the latter, after extensive data collection, has been based on large data, began to layout the entire industry monopoly business, including E-commerce, education, medical, logistics and so on. Once these monopolies are formed, they will greatly reduce the innovation ability and competitive ability of Chinese enterprises.