A grocery store found that ground beef sales increased when buns were a featured sales item. This customer relationship management (CRM) technique is called:
A grocery store found that ground beef sales increased when buns were a featured sales item. This customer relationship management (CRM) technique is called:
The technique described is data mining. Data mining involves analyzing large sets of data to find patterns and correlations that can inform business decisions. In this case, identifying that ground beef sales increase when buns are featured is a direct result of analyzing sales data to find meaningful relationships, which is a textbook example of data mining.
Correct answer is A. Data tracking isn't a key word. Plus, this is just a classic example of data mining
A. Data mining. Data mining is the process of analyzing large sets of data to discover patterns and relationships that can be used to inform business decisions. In this case, the grocery store used data mining to identify the relationship between the sales of ground beef and featured buns. This information can be used to create targeted promotions and increase sales. Data tracking, point-of-purchase (POP) promotion, and upselling are different CRM techniques that do not directly relate to the discovery of the relationship between product sales.
Why not A
data mining?
Data mining