|
are very extensive and involve all aspects of our lives. To help you understand better, I will provide you with several examples in different fields and explain in detail the application of data analysis in these scenarios: 1. Business field E-commerce platform: User behavior analysis: By analyzing user browsing records, purchase records, shopping cart data, etc., understand user preferences and purchasing habits, so as to carry out precision marketing and personalized recommendations.
Sales forecasting: Based on historical sales data and Email List external factors (such as seasons, promotions), predict future sales trends and help companies formulate inventory and production plans. Financial industry: Risk assessment: By analyzing customer credit records, historical transaction data, etc., assess loan risks and provide a basis for credit decisions. Market analysis: Analyze market trends and competitor situations to provide support for investment decisions. Market research.
![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXdayjd0oMW7ChDodVGlZdI4oYLY3URCgx1OZbr4eCNfBHDAJ3Wpfq5wfoIzQuSYlTPa925T7HeGlrfAWwH1Qpgmp50aJiFQ-tpsNkTk3SPyQvg2oMhJ-knnodQkWvoPHhyZZxbyCFaXjtXs8dHvD_KBUCT3?key=WXcvWVK6s82QBl2SmcW8IQ)
Consumer research: Through questionnaires, social media data analysis, etc., understand consumers' views on products or services and provide suggestions for product improvement and marketing. Operation optimization: Website analysis: Analyze website traffic and user behavior, optimize website structure and content, and improve user experience. 2. Scientific research Biomedicine: Genomics: Analyze gene sequence data, study the genetic basis of diseases, and develop new treatments.
|
|