Deal of The Day! Hurry Up, Grab the Special Discount - Save 25% - Ends In 00:00:00 Coupon code: SAVE25
Welcome to Pass4Success

- Free Preparation Discussions
Mail Us support@pass4success.com
Location US
Mob_nav_barsMENU

IIBA CBDA Exam - Topic 3 Question 22 Discussion

Actual exam question for IIBA's CBDA exam
Question #: 22
Topic #: 3
[All CBDA Questions]

An organization has a customer database of 3000 customers and has accumulated 5 years of sales dat

a. They want to make decisions about which products to retire and which to continue to offer. Management has turned to the analytics team to analyze the data and provide recommendations. The analytics team develops a survey to send to randomly selected customers. This is an example of:

Show Suggested Answer Hide Answer
Suggested Answer: D

Data sampling is the process of selecting a subset of data from a larger population to represent the characteristics of the whole population. Data sampling is often used when the population is too large or costly to collect data from every individual. Data sampling can help reduce the time, cost, and complexity of data analysis, while maintaining the validity and reliability of the results. Data sampling can also help avoid biases and errors that may arise from collecting data from the entire population. Data sampling can be done using various methods, such as random sampling, stratified sampling, cluster sampling, or convenience sampling, depending on the research objectives and the availability of data. In this example, the analytics team develops a survey to send to randomly selected customers, which is a form of data sampling. The survey aims to collect data from a representative sample of customers that can reflect the preferences and opinions of the entire customer population. The survey data can then be used to analyze the performance and demand of different products, and provide recommendations to management.Reference:

[Business Data Analytics: A Practitioner's Guide], Chapter 4: Data Analysis, Section 4.2: Data Sampling, pp. 69-72.

[A Guide to the Business Analysis Body of Knowledge (BABOK Guide)], Version 3, Chapter 6: Solution Evaluation, Section 6.2: Analyze Performance Measures, pp. 152-153.


by Vernell at Sep 15, 2024, 01:32 AM

Limited Time Offer

25%

Off

Get Premium CBDA Questions as Interactive Web-Based Practice Test or PDF

Contribute your Thoughts:

0/2000 characters
Submit Cancel
Hyun
4 months ago
Isn’t this just a fancy way to ask for opinions?
upvoted 0 times
...
Ciara
4 months ago
Wait, are they sure the sample is representative?
upvoted 0 times
...
Tu
4 months ago
I thought it was data manipulation at first, but sampling makes more sense.
upvoted 0 times
...
Kristofer
4 months ago
Totally agree, they’re gathering feedback from a subset of customers.
upvoted 0 times
...
Malcom
5 months ago
This is definitely data sampling!
upvoted 0 times
...
Cordie
5 months ago
I could be wrong, but I feel like data wrangling is more about cleaning and organizing data, not about surveying customers.
upvoted 0 times
...
Nicolette
5 months ago
This reminds me of a practice question where we discussed how surveys are a way to gather data from a population, so I lean towards data sampling.
upvoted 0 times
...
Yan
5 months ago
I'm not entirely sure, but I remember something about data manipulation being more about changing the data itself, not just collecting it.
upvoted 0 times
...
Ronny
5 months ago
I think this might be data sampling since they are selecting a subset of customers to gather opinions from.
upvoted 0 times
...
Toi
5 months ago
Data sampling is the way to go here. The organization is using a survey to gather information from a subset of their customer base, which is a textbook example of data sampling.
upvoted 0 times
...
Broderick
5 months ago
Hmm, I'm not sure about this one. Data manipulation or data grouping could also be reasonable answers. I'll have to think this through carefully before selecting an answer.
upvoted 0 times
...
Lucina
5 months ago
I think the answer is data sampling. The question clearly states the organization is sending a survey to randomly selected customers, which is a classic example of data sampling.
upvoted 0 times
...
Irma
5 months ago
I'm a bit confused on this one. Is data wrangling the right answer here? The question mentions the organization is developing a survey, which doesn't seem like data wrangling to me.
upvoted 0 times
...
Rolande
6 months ago
This seems like a straightforward data sampling question. The key is to identify that the organization is using a survey sent to randomly selected customers, which is a common form of data sampling.
upvoted 0 times
...
Cordelia
6 months ago
Hmm, I'm a bit unsure about this one. I need to make sure I understand the difference between a portfolio-level roadmap and more detailed program/project roadmaps.
upvoted 0 times
...
Delisa
1 year ago
Ha, I bet the analytics team is wishing they had a magic 'Retire Underperforming Products' button instead of having to wade through all that data. But D) Data Sampling is the way to go here.
upvoted 0 times
...
Alecia
1 year ago
This one's tricky, but I think A) Data Wrangling is the right answer. Cleaning up and organizing that sales data must've been a nightmare before they could even start analyzing it.
upvoted 0 times
Lauran
1 year ago
I see your point, but I still think D) Data Sampling makes more sense in this scenario. They need a representative sample of customers.
upvoted 0 times
...
Lore
1 year ago
Actually, I believe it's A) Data Wrangling too. Cleaning and organizing the data is crucial for accurate analysis.
upvoted 0 times
...
Shaniqua
1 year ago
I think it might be D) Data Sampling. They need to select a random sample of customers to survey.
upvoted 0 times
...
Carli
1 year ago
I agree, A) Data Wrangling is definitely the right answer. It's all about preparing the data for analysis.
upvoted 0 times
...
...
Eura
2 years ago
I'm not sure, but I think Data Wrangling is also important for cleaning and preparing the data before sampling.
upvoted 0 times
...
Earleen
2 years ago
I agree with Erinn. Data Sampling makes sense for selecting a random sample of customers to survey.
upvoted 0 times
...
Loreen
2 years ago
I'm going with B) Data Manipulation. They're taking the raw sales data and shaping it to make strategic decisions. Gotta love when analytics can make a business more efficient.
upvoted 0 times
Kenny
1 year ago
I see your point, but I still think B) Data Manipulation is the best fit here. It's all about shaping the raw data to drive strategic decisions.
upvoted 0 times
...
Sherita
1 year ago
I think D) Data Sampling might also be a good option. By sending surveys to randomly selected customers, they are sampling the data to make decisions.
upvoted 0 times
...
Nieves
1 year ago
Definitely, B) Data Manipulation is key in this situation. It's great to see analytics being used to improve business efficiency.
upvoted 0 times
...
Geraldine
1 year ago
I agree, B) Data Manipulation seems like the right choice here. It's all about shaping the data to make informed decisions.
upvoted 0 times
...
...
Teddy
2 years ago
Definitely D) Data Sampling. They're surveying a random selection of customers, not the entire database. Smart move to avoid the hassle of analyzing all 3000 records.
upvoted 0 times
Gearldine
2 years ago
Data Sampling makes sense in this scenario. It allows for a representative sample without having to go through all 3000 records.
upvoted 0 times
...
Keshia
2 years ago
I agree, D) Data Sampling is the correct choice. It's a more efficient way to analyze the data.
upvoted 0 times
...
...
Erinn
2 years ago
I think the answer is D) Data Sampling.
upvoted 0 times
...

Save Cancel