
Marketing Cluster Information Management

Flashcard
•
Business
•
9th - 12th Grade
•
Hard
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50 questions
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1.
FLASHCARD QUESTION
Front
What is the primary purpose of marketing information management?
Back
To support effective business decision-making
Answer explanation
2.
FLASHCARD QUESTION
Front
Which of the following best defines the role of data mining in marketing information management? Options: Collecting consumer feedback through surveys, Extracting patterns and insights from large datasets, Storing customer information for future use, Analyzing competitors' sales data
Back
Extracting patterns and insights from large datasets
Answer explanation
3.
FLASHCARD QUESTION
Front
What is a key consideration when evaluating the quality of a data source for marketing research? Accessibility of the data, The frequency of updates to the data, Relevance and reliability of the data, Availability of competitive insights
Back
Relevance and reliability of the data
Answer explanation
4.
FLASHCARD QUESTION
Front
How does ethical behavior impact marketing information management?
Back
It ensures that consumer data is protected and used responsibly.
Answer explanation
5.
FLASHCARD QUESTION
Front
Which of the following is an example of primary data collection? Options: Reading industry reports, Conducting a customer satisfaction survey, Analyzing social media trends, Reviewing government census data
Back
Conducting a customer satisfaction survey
Answer explanation
6.
FLASHCARD QUESTION
Front
What is the primary purpose of marketing information management? Options: To evaluate market segmentation, To organize internal company records, To support effective business decision-making, To develop promotional strategies
Back
To support effective business decision-making
Answer explanation
7.
FLASHCARD QUESTION
Front
Which of the following best defines the role of data mining in marketing information management? Options: Collecting consumer feedback through surveys, Extracting patterns and insights from large datasets, Storing customer information for future use, Analyzing competitors' sales data
Back
Extracting patterns and insights from large datasets
Answer explanation
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