Abstract
In the era of big data, databases have become a powerful tool for enterprises to gain insight into consumer behavior and market dynamics. However, some enterprises, especially small and medium-sized ones, focus too much on data volume growth while ignoring the importance of data relevance, resulting in unsatisfactory marketing outcomes. Based on this, this paper provides an example of Nike official online store. With the assistance of structured query language (SQL), a backend database system is created under the Oracle11g R2 environment, and its functions are simulated and demonstrated. The system is capable of managing user, product, and order transaction information through basic functions such as adding, querying, modifying, and deleting. In addition, it serves as a foundation for Nike's precision marketing efforts through user profile construction, user behavior analysis, and demand forecasting based on basic statistical methods of counting, proportioning, and sorting.
Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
