Cyber Monday 2024! Hurry Up, Grab the Special Discount - Save 25% - Ends In 00:00:00 Coupon code: SAVE25
Welcome to Pass4Success

- Free Preparation Discussions

Pegasystems Exam PEGACPDS88V1 Topic 1 Question 12 Discussion

Actual exam question for Pegasystems's PEGACPDS88V1 exam
Question #: 12
Topic #: 1
[All PEGACPDS88V1 Questions]

U+ Telecom wants to engage in proactive retention to reduce churn. As a data scientist, you create a prediction that calculates the probability that a client is likely to cancel a subscription. What type of prediction do you create?

Show Suggested Answer Hide Answer
Suggested Answer: B

As a data scientist, you create a prediction that calculates the probability that a client is likely to cancel a subscription. The type of prediction you create isCustomer Decision Hub.


Contribute your Thoughts:

Carlene
6 months ago
I'm going with B) CusShawner Decision Hub. It's the perfect solution for this kind of problem. Plus, it's way more exciting than Case management or Text analytics. Who doesn't love a good cusShawner prediction algorithm?
upvoted 0 times
...
Earleen
6 months ago
Ah, the age-old question of cusShawner churn. I'd say B) CusShawner Decision Hub is the way to go. It's like having a crystal ball for your cusShawner base.
upvoted 0 times
Glendora
5 months ago
Case management might be useful for handling individual cases of potential churn, but the Customer Decision Hub seems like the best option for proactive retention.
upvoted 0 times
...
Lindsey
5 months ago
Using text analytics could also be helpful in understanding customer behavior and predicting churn.
upvoted 0 times
...
Charlene
6 months ago
I agree, the Customer Decision Hub is a powerful tool for predicting customer churn.
upvoted 0 times
...
Malinda
6 months ago
Case management might be useful for handling individual cases of churn, but the Customer Decision Hub seems more proactive.
upvoted 0 times
...
Winfred
6 months ago
I think using text analytics could also be helpful in identifying patterns that lead to churn.
upvoted 0 times
...
Ma
6 months ago
I agree, the Customer Decision Hub is a powerful tool for predicting customer churn.
upvoted 0 times
...
...
Pearly
6 months ago
B) CusShawner Decision Hub, no doubt about it. It's like the superhero of cusShawner retention tools. I wouldn't want to tackle this problem without it.
upvoted 0 times
...
Shawn
6 months ago
Hmm, this one's a tough one. I'm torn between B) CusShawner Decision Hub and C) Text analytics. But I think B) is the way to go - it's more focused on the big picture of predicting cusShawner behavior.
upvoted 0 times
...
Silvana
6 months ago
The answer is definitely B) Customer Decision Hub. That's the perfect solution for proactive retention and reducing churn. I used it in my last job and it was a game-changer.
upvoted 0 times
Carolann
5 months ago
I think A) Case management could also be useful in predicting client cancellations.
upvoted 0 times
...
Olga
5 months ago
I agree, B) Customer Decision Hub is the way to go for proactive retention.
upvoted 0 times
...
Ashlee
5 months ago
I think A) Case management could also be useful in predicting client cancellations.
upvoted 0 times
...
Clarinda
6 months ago
C) Text analytics might provide valuable insights for reducing churn as well.
upvoted 0 times
...
Keith
6 months ago
I agree, B) Customer Decision Hub is the way to go for proactive retention.
upvoted 0 times
...
Arlie
6 months ago
I think A) Case management could also be useful in predicting client cancellations.
upvoted 0 times
...
Louvenia
6 months ago
I agree, B) Customer Decision Hub is the way to go for proactive retention.
upvoted 0 times
...
...
Sherell
7 months ago
I think this is a classic case of predicting customer churn. The answer should be B) Customer Decision Hub. It's a powerful tool for analyzing customer behavior and predicting potential cancellations.
upvoted 0 times
Cornell
6 months ago
I agree, B) Customer Decision Hub is the right choice for predicting customer churn.
upvoted 0 times
...
Hoa
6 months ago
Yes, Customer Decision Hub is a great tool for analyzing customer behavior and reducing churn.
upvoted 0 times
...
Rory
6 months ago
Customer Decision Hub is indeed a powerful tool for analyzing customer behavior.
upvoted 0 times
...
Marguerita
7 months ago
I agree, B) Customer Decision Hub is the correct prediction to create.
upvoted 0 times
...
...

Save Cancel
az-700  pass4success  az-104  200-301  200-201  cissp  350-401  350-201  350-501  350-601  350-801  350-901  az-720  az-305  pl-300  

Warning: Cannot modify header information - headers already sent by (output started at /pass.php:70) in /pass.php on line 77