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

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

a. Capacity planning
b. Revenue assessment
c. Proactive network monitoring
4. None of the above
Dec 2, 2020 in Data Analytics by ritu
• 960 points
1,921 views

1 answer to this question.

0 votes

Hi@ritu,

Building analytical cubes of CDRs and managing them efficiently is part of Proactive network monitoring.

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

Related Questions In Data Analytics

0 votes
1 answer
0 votes
1 answer

Is there any way to check for missing packages and install them in R?

There are 2 options: Either you can use ...READ MORE

answered Apr 17, 2018 in Data Analytics by nirvana
• 3,130 points
974 views
0 votes
2 answers

What is difference between Distributed search head and Search head cluster?

 A distributed environment describes the separation of ...READ MORE

answered Dec 4, 2018 in Data Analytics by Ali
• 11,360 points
2,683 views
+1 vote
2 answers

Finding number of missing values and removing those missing values from a data-frame

To find number of missing values for ...READ MORE

answered Aug 14, 2019 in Data Analytics by anonymous
1,226 views
0 votes
1 answer

Building Random Forest on a data-set comprising of missing(NA) values

You have two options, either impute the ...READ MORE

answered Apr 3, 2018 in Data Analytics by Bharani
• 4,660 points
1,719 views
0 votes
1 answer

What is the Difference in Size and Count in pandas (python)?

The major difference is "size" includes NaN values, ...READ MORE

answered Apr 30, 2018 in Data Analytics by DeepCoder786
• 1,720 points

edited Jun 8, 2020 by Gitika 3,215 views
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 1,815 views
0 votes
1 answer
0 votes
1 answer

17) Identifying customers likely to churn is part of __________

d) Churn Management READ MORE

answered Jun 8, 2021 in Data Analytics by anonymous

edited Mar 5 1,444 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