CMKG - CPCM Retailer POS Data
Analysis ACTUAL QUESTIONS AND
CORRECT ANSWERS
1. Why would you need to "cleanse" point-of-sale data you receive from a
retailer? - CORRECT ANSWERS Answer: The data must be checked for
discrepancies and errors. Cleansing data incorporates cleaning out discrepancies
and errors in the item level data before you complete any analysis.
2. Which of the following analysis examples is NOT enabled by the use of
retailer's POS data? - CORRECT ANSWERS Answer: Competitive
pricing analytics. Competitive pricing cannot be derived through a retailer's
POS data.
3. Which of the following would be LEAST effectively evaluated via an in store
test? - CORRECT ANSWERS Answer: Advertising copy changes.
Advertising copy would be the least effectively analyzed because it's something
that's changed externally from the store.
4. Which of the following is NOT an analysis that you can complete for store
clusters? - CORRECT ANSWERS Answer: All are analytical options.
All of these analytics can be completed for retail store clusters and can be
compared across clusters for improved understanding of the differences across
clusters. In net, any type of analysis that can be done for total retailer, can be
done by store cluster but at a cluster level.
5. True or false. Loyalty data has little to no value when creating store
clustering. - CORRECT ANSWERS Answer: False. Loyalty data should
be considered in retailer store cluster development as the clusters should
consider the most important and loyal shoppers for the retailer.
6. When completing an in-store test, which of the following activities should
NOT be done to set up an effective test? - CORRECT ANSWERS
Analysis ACTUAL QUESTIONS AND
CORRECT ANSWERS
1. Why would you need to "cleanse" point-of-sale data you receive from a
retailer? - CORRECT ANSWERS Answer: The data must be checked for
discrepancies and errors. Cleansing data incorporates cleaning out discrepancies
and errors in the item level data before you complete any analysis.
2. Which of the following analysis examples is NOT enabled by the use of
retailer's POS data? - CORRECT ANSWERS Answer: Competitive
pricing analytics. Competitive pricing cannot be derived through a retailer's
POS data.
3. Which of the following would be LEAST effectively evaluated via an in store
test? - CORRECT ANSWERS Answer: Advertising copy changes.
Advertising copy would be the least effectively analyzed because it's something
that's changed externally from the store.
4. Which of the following is NOT an analysis that you can complete for store
clusters? - CORRECT ANSWERS Answer: All are analytical options.
All of these analytics can be completed for retail store clusters and can be
compared across clusters for improved understanding of the differences across
clusters. In net, any type of analysis that can be done for total retailer, can be
done by store cluster but at a cluster level.
5. True or false. Loyalty data has little to no value when creating store
clustering. - CORRECT ANSWERS Answer: False. Loyalty data should
be considered in retailer store cluster development as the clusters should
consider the most important and loyal shoppers for the retailer.
6. When completing an in-store test, which of the following activities should
NOT be done to set up an effective test? - CORRECT ANSWERS
