Supermarkets collect information about individual customers through their use of loyalty cards, and then analyze the data to look for patterns in purchases. This is an example of

A) data mining.
B) data recovery.
C) data entry.
D) data analysis.
E) data modeling.

This is an example of data mining because the supermarket is collecting large amounts of customer data and analyzing it to uncover patterns or insights that can inform marketing strategies and other business decisions. Data recovery refers to the process of retrieving lost or damaged data, while data entry involves manually inputting information into a system. Data analysis involves analyzing data to make sense of it, while data modeling refers to creating mathematical or statistical models to represent and understand complex data.