Data analysis of excavation bokhary business opportunities

Wal-Mart, one of the first companies to benefit from large data, once owned the world's largest data warehouse system. By analyzing unstructured data such as consumer shopping behavior, Wal-Mart has become the retailer that best understands customers ' shopping habits and has created a classic business case for "beer and diapers". As early as 2007, Wal-Mart built a large data center with a storage capacity of over 4Pb. The economist said in a 2010 report that Wal-Mart has 167 times times as much data as the Library of Congress.

China Mobile Group Shanxi Co., Ltd. through large data analysis, the business operation of the whole business of targeted monitoring, early warning, tracking. System in the first time automatically capture the market changes, and then the quickest way to the designated person responsible, so that he in the shortest possible time to learn about the market.

For example, a customer using the latest Nokia mobile phone, monthly payment on time, an average of 3 times a year call customer service, using WEP and MMS business. If you follow the traditional data analysis, it may be a very high customer satisfaction, the loss of very low probability of customers. In fact, when the collection includes Weibo, new sources such as social networking customer data, the customer's real situation may be this: customers buy the phone abroad, some of the functions in the mobile phone is not available in the country, in a fixed location of mobile phones often disconnected, MMS can not be used-his experience is very poor, is facing a loss risk.

Through the analysis of the user behavior by the large data, the Internet enterprise started generally earlier. The senior director of the ebay Analytics platform said they had set up a large data analysis platform 5 years ago. On this platform, you can combine structured and unstructured data to facilitate ebay's business innovation and profit growth.

Now, the ebay analytics platform handles up to 100PB of data a day, surpassing the daily amount of data processing on the Nasdaq exchange. In order to accurately analyze the user's shopping behavior, ebay has defined more than 500 types of data to conduct a tracking analysis of customer behavior.

In the early days, changes to every feature on ebay's web page were usually determined by the product manager who knew the feature very well, based primarily on the product manager's personal experience. Through the analysis of the user's behavior data, any modification of the function on the webpage is decided by the user. Whenever there is a good idea or idea, they will select a certain range of users on the site to test. By analyzing the behavior of these users, see if the idea brings the desired results.

More significant changes are reflected in advertising costs. Ebay has been spending a lot of money on internet advertising, by buying some keywords from web searches and bringing potential customers to ebay. To measure the input and output of these keyword ads, ebay has built a completely closed optimization system. With this system, you can accurately calculate the return on investment that each keyword brings to ebay. Through the optimization of advertising, since 2007, EBay sales of advertising costs have been reduced by 99%, the top sellers accounted for the percentage of total sales rose to 32%.

(Responsible editor: Schpeppen)