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.

Data mining refers a process in which groups of data are analyzed to find patterns to gain knowledge that can help businesses to learn about their customers, take better decisions and improve sales. According to this, the answer is data mining as supermarkets are using the data collected to find patterns in purchases.

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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.

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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.