Sendstars is a package delivering company that recently made a study on its customer retention and service renewal metrics. They found that most customers defected from using Sendstars' services due to customer dissatisfaction stemming from delivery personnel being rude or ill-mannered. To curb this issue, Sendstars gave special training to its employees in customer service.

Which of the following data mining approaches did Sendstars employ when they decided to train their employees in customer care based on the study?

A. association

B. classification

C. cause-and-effect modeling

D. reduction

Question

Computers and Technology

Tamara Bentley

20 January, 01:00

Sendstars is a package delivering company that recently made a study on its customer retention and service renewal metrics. They found that most customers defected from using Sendstars' services due to customer dissatisfaction stemming from delivery personnel being rude or ill-mannered. To curb this issue, Sendstars gave special training to its employees in customer service.

Which of the following data mining approaches did Sendstars employ when they decided to train their employees in customer care based on the study?

A. association

B. classification

C. cause-and-effect modeling

D. reduction

+2

Answers (2)

Know the Answer?

Amari Schwartz · Answer 1

Answer: C. Cause and Effect Modelling.

Explanation:

Data Mining is a technique which aims at obtaining important and useful information in a stockpile of data. This in turn would prove useful in making predictions. It would also inform present decisions.

The Cause and Effect modelling approach explains that for every given action (effect), there was a prompting factor (cause).

In the case of Sendstars Company, the downward spiral in customer retention was as a result of ill - mannered staff. This effect, prompted the decision to have the employees trained on customer service.

Ace Sherman · Answer 2

C. cause-and-effect modeling

Explanation:

Data mining is a process in data analysis that sources, extracts and streams data from source database to the computing device. It provides data in categories to computers for easy analysis. There are different approaches to data mining, they are association, classification, cause and effect modeling, reduction etc.

Classification clusters data based on similarity, association is based on the number or value, while cause and effect modeling describes a cluster of outputs based on a certain incident.