Big, omnipotent data.

What can large data be used for? At present, large data analysis technology has been applied in many fields, such as race prediction, influenza prediction, business analysis and user behavior analysis. The functions and applications that people have been unable to achieve are becoming reality with the help of large data. Here, let's take a look at the new application of big data.

Love prediction

Large data can analyze people's behavior and draw some conclusions. Perhaps when you don't want to admit that you've fallen in love, the big numbers are already on your mind, knowing you're about to start a relationship.

At present, some enterprises and technicians have begun to use large data technology for love prediction. According to foreign media reports, Facebook's data scientist, Carlos Diuk, has drawn a chart that shows the relationship between lovers and Facebook postings, and based on this model, it is possible to calculate whether two people are in love.

Carlos Diuk's study found that in the 100 days before the relationship began, the number of posts posted continued to increase, and the 12 days (average) before the relationship was fixed peaked. After the relationship is established, the number of posts will fall, which should be understood as a couple has begun to increase communication in real life.

In addition to a similar model, large data can be used to analyze the user's behavior by the number of words in the user's post, such as "like", "Happy", "nasty", "injured", etc.

Use data to sell a house

The use of large data to sell houses, in the housing market is not hot today, this has become a number of real estate developers to broaden sales channels of powerful means. Not long ago, Vanke Group announced and chain Home real estate cooperation, Vanke will add chain Home real estate currently 20 flagship stores for customer Terminal Services platform, the future of Vanke in Beijing sales of all projects will be linked with the real estate cooperation. Through the establishment of the offline Contract center, customer Terminal Services platform, chain Home real estate will help Vanke collect, track and analyze consumer behavior data, and buyers timely interaction and understanding of home buyers in the process of decision-making changes, while providing personalized advice.

"This year our companies are talking about big data," he said. Mao Daqing, senior vice president of Vanke Group, said, "but we are looking for different data sources, use this source to find customers, and with this source to sticky customers, we just took a different path." ”

Clearly, real estate companies are targeting large data markets, hoping to use the power of data to sell houses. In Mao's view, the chain of real estate in the hands of Vanke do not have the data resources. "The second-hand housing service is relies on the database to carry on the business, this kind of view and the database is the traditional real estate business does not have." Beijing Vanke said.

Insight into the fashion trend

Want to know what the fashion trend next year is, ask Big data.

This is not a joke, as the tech world embraces big data, and the fashion industry begins to try to make use of big data. A company named EDITD, which founded the world's largest apparel database, was originally a fashion designer, and the original intention of setting up EDITD was to help global apparel retailers, brands and suppliers deliver the right products at the right price at the correct time.

It is reported that EDITD company has a stable customer base, which not only has a fashion brand gap, as well as Target department store (target) and other large companies. The company not only provides customers with all kinds of clothing data, but also provides real-time analysis and other tools.

It is worth mentioning that the EDITD company's database contains at least 53 billion data points from the fashion industry, covering more than 1000 retailers worldwide, with more than 15 million high-definition images. Its "social monitoring" function monitors the social activities of influential fashion 80多万名 and experts worldwide. To read the data at any time, EDITD stores most of its data in memory rather than on its hard drive.

EDITD's services cover men's, women's, children's wear, accessories and beauty and many other fields. Since the information on the output is customizable, a high-end clothing store is responsible for the data seen by the salesman in jeans, which is quite different from that of the women's knitting shirts at a cheap clothing chain.

Build a hit movie

The global hit of the card house proves that big data is promising in the film and television industry. I believe many people have heard that the "card House" in this drama, from the choice of actors, filming, post-production and even marketing all through the use of large data means, and finally achieved success.

The 2013 Google movie box office forecast model, which is said to be able to predict one months ahead of the film's first-week box office revenue, accuracy of up to 94%. Statistics show that there is a strong correlation between movie-related search volume and box office income. Large data can not only predict the movie box office, but also to analyze the audience's association preferences, so do not rule out large data in the future trends will guide the public's film investment behavior.

It is because of the attractiveness of large data that many film companies are now introducing and using large data technologies. It can be said that in the current film industry, a film from research and development, creation, production to distribution, almost all can see the figure of large data. For example, in the planning stage of the film, there will be dozens of combinations, ask the data company to start a sample survey to see which combination is the most popular, and for example, in the choice of actors, can easily through large data analysis to find the most suitable for this theme of the actor.

In addition to the use of film in the creation and production links, the promotion of film can not be separated from large data. The industry generally believes that big data will help film companies better understand the target audience's basic attributes, and launch the precise marketing, thus ultimately driving the box office revenue.