17 Identifying customers likely to churn is part of

0 votes
17) Identifying customers likely to churn is part of __________

a. social network modeling and analysis
b. personalized advertisement
c. subscriber profiling
d. churn management
Dec 2, 2020 in Data Analytics by ritu
• 960 points
1,379 views

1 answer to this question.

0 votes

Hi@ritu,

Churn management is the art of identifying valuable customers, who are likely to churn from a company and executing proactive steps to retain them. So you can go with option D.

answered Dec 2, 2020 by MD
• 95,460 points

Related Questions In Data Analytics

0 votes
1 answer
0 votes
1 answer

How to drop rows of Pandas DataFrame whose value in certain coulmns is NaN

Hi@DataKing99, You can create one function according to ...READ MORE

answered May 7, 2018 in Data Analytics by DeepCoder786
• 1,720 points

edited Jun 9, 2020 by MD 1,721 views
+1 vote
1 answer

How to find out which version of R is loaded

You can use sessionInfo() to accomplish that. > sessionInfo() R version ...READ MORE

answered Nov 8, 2018 in Data Analytics by Maverick
• 10,840 points
748 views
0 votes
1 answer

Error saying "Error in df$item : object of type 'closure' is not subsettable" when trying to use arules package

Try replacing ID <- c("A123","A123","A123","A123","B456","B456","B456") item <- c("bread", "butter", ...READ MORE

answered Nov 15, 2018 in Data Analytics by Maverick
• 10,840 points
1,825 views
+1 vote
1 answer

Is it possible to change the column names of the dataset that I'm using in R?

That is definitely possible in R. You ...READ MORE

answered Dec 17, 2018 in Data Analytics by Anisha

edited Dec 17, 2018 1,748 views
0 votes
0 answers

Is it possible to add a chart outside of another chart in R?

Is it possible to add a chart ...READ MORE

Aug 8, 2019 in Data Analytics by anonymous
456 views
0 votes
1 answer
0 votes
1 answer
0 votes
1 answer

14) Building analytical cubes of CDRs and managing them efficiently is part of _________

Hi@ritu, Building analytical cubes of CDRs and managing ...READ MORE

answered Dec 2, 2020 in Data Analytics by MD
• 95,460 points
1,799 views
webinar REGISTER FOR FREE WEBINAR X
REGISTER NOW
webinar_success Thank you for registering Join Edureka Meetup community for 100+ Free Webinars each month JOIN MEETUP GROUP