What are the specific application cases of big data?

There are many specific application cases of big data, such as:

1, Messi's real-time pricing mechanism. According to the demand and inventory situation, the company's SAS-based system adjusts the prices of as many as 73 million commodities in real time.

2.Tip24ag is a gambling prediction platform for the European gambling industry. The company uses KXEN software to analyze billions of transactions and customer characteristics, and then carries out dynamic marketing activities for specific users through forecasting models. This measure shortens the construction time of forecasting model by 90%. SAP tried to buy KXEN.

3. Wal-Mart's search. The latest search engine Polaris is designed, which uses semantic data for text analysis, machine learning and synonym mining. Wal-Mart claims that the application of semantic search technology has improved the online shopping completion rate from 10% to 15%. "For Wal-Mart, it means billions of dollars," Laney said.

4. Video analysis of fast food industry. The company analyzes the length of the waiting queue through video, and then automatically changes the content displayed in the electronic menu. If the queue time is long, the food that can be served quickly will be displayed; If the queue time is short, those foods with high profits but relatively long preparation time will be displayed.

5. Brand recognition of Morton Steakhouse. Morton started his social show when a customer jokingly ordered a meal from a Chicago steak chain via Twitter and sent it to Newark Airport in new york (where he will arrive after a day's work). First of all, by analyzing Twitter data, we found that this customer is a frequent visitor to our store and Twitter. According to the customer's previous order, guess his flight, and then send a waiter in a tuxedo to provide dinner for the customer.

6. Praed Bohr Company. PredPol cooperates with the police in Los Angeles and Santa Cruz and a group of researchers to predict the crime probability according to the earthquake prediction algorithm and the change of crime data, which can be accurate to 500 square feet. In Los Angeles, where the algorithm is applied, the distribution of theft and violent crimes decreased by 33% and 265,438+0% respectively.

7. Tesco Company and operational efficiency. This supermarket chain has collected data of 7 million refrigerators in its data warehouse. Through the analysis of these data, we can carry out more comprehensive monitoring and active maintenance, and reduce the overall energy consumption.

8. AmEx and business intelligence. In the past, American Express could only achieve after-the-fact reporting and lag forecasting. "Traditional business intelligence can't meet the needs of business development," Lanny thinks. Therefore, American Express began to build a model that can truly predict loyalty. Based on the historical transaction data, the variable 1 15 is used for analysis and prediction. The company said that it has been able to identify 24% customers who will be lost in Australia in the next four months.