C207 MGMT 6010
Data Driven Decision Making
Pre-Assessment Guide
Q&A
2024
,1. In the context of data-driven decision-making, which of the following
best describes the term 'Big Data'?
A) Large volumes of unstructured data
B) Data sets that are too large to be processed by traditional data
processing applications
C) Both A and B
D) None of the above
Answer: C) Both A and B
Rationale: Big Data refers to data sets that are not only large but also
complex, often including unstructured data that traditional data
processing software cannot handle.
2. Which statistical method is most appropriate for predicting future
sales based on historical data?
A) Regression analysis
B) Factor analysis
C) Cluster analysis
D) ANOVA
Answer: A) Regression analysis
Rationale: Regression analysis is used to understand the relationship
between variables and to forecast future trends.
,3. What is the primary purpose of A/B testing in data-driven decision-
making?
A) To compare two versions of a webpage to see which one performs
better
B) To determine if there are any significant differences between two
data sets
C) Both A and B
D) None of the above
Answer: C) Both A and B
Rationale: A/B testing is used to compare two versions of a variable to
determine which one performs better in a controlled environment, and it
can also be used to test the differences between two data sets.
4. In a business context, which of the following best defines 'data
mining'?
A) The process of finding anomalies, patterns, and correlations within
large data sets to predict outcomes
B) A technique used to extract usable data from a larger set of any raw
data
C) Both A and B
D) None of the above
Answer: C) Both A and B
Rationale: Data mining involves processing large data sets to identify
patterns and relationships that can be used to make business decisions.
, 5. Which of the following is a key component of a data-driven decision-
making process?
A) Data collection
B) Data analysis
C) Data interpretation
D) All of the above
Answer: D) All of the above
Rationale: A data-driven decision-making process involves collecting
data, analyzing it to find patterns or insights, and interpreting it to make
informed decisions.
Which of the following best describes the concept of data-driven
decision-making?
A) Making decisions based on intuition and gut feeling
B) Making decisions solely based on historical data
C) Making decisions based on analysis and interpretation of data
D) Making decisions without considering any data
Answer: C) Making decisions based on analysis and interpretation of
data
Rationale: Data-driven decision-making involves using data analysis to
guide decision-making processes, ensuring decisions are based on factual
information rather than intuition or guesswork.
Data Driven Decision Making
Pre-Assessment Guide
Q&A
2024
,1. In the context of data-driven decision-making, which of the following
best describes the term 'Big Data'?
A) Large volumes of unstructured data
B) Data sets that are too large to be processed by traditional data
processing applications
C) Both A and B
D) None of the above
Answer: C) Both A and B
Rationale: Big Data refers to data sets that are not only large but also
complex, often including unstructured data that traditional data
processing software cannot handle.
2. Which statistical method is most appropriate for predicting future
sales based on historical data?
A) Regression analysis
B) Factor analysis
C) Cluster analysis
D) ANOVA
Answer: A) Regression analysis
Rationale: Regression analysis is used to understand the relationship
between variables and to forecast future trends.
,3. What is the primary purpose of A/B testing in data-driven decision-
making?
A) To compare two versions of a webpage to see which one performs
better
B) To determine if there are any significant differences between two
data sets
C) Both A and B
D) None of the above
Answer: C) Both A and B
Rationale: A/B testing is used to compare two versions of a variable to
determine which one performs better in a controlled environment, and it
can also be used to test the differences between two data sets.
4. In a business context, which of the following best defines 'data
mining'?
A) The process of finding anomalies, patterns, and correlations within
large data sets to predict outcomes
B) A technique used to extract usable data from a larger set of any raw
data
C) Both A and B
D) None of the above
Answer: C) Both A and B
Rationale: Data mining involves processing large data sets to identify
patterns and relationships that can be used to make business decisions.
, 5. Which of the following is a key component of a data-driven decision-
making process?
A) Data collection
B) Data analysis
C) Data interpretation
D) All of the above
Answer: D) All of the above
Rationale: A data-driven decision-making process involves collecting
data, analyzing it to find patterns or insights, and interpreting it to make
informed decisions.
Which of the following best describes the concept of data-driven
decision-making?
A) Making decisions based on intuition and gut feeling
B) Making decisions solely based on historical data
C) Making decisions based on analysis and interpretation of data
D) Making decisions without considering any data
Answer: C) Making decisions based on analysis and interpretation of
data
Rationale: Data-driven decision-making involves using data analysis to
guide decision-making processes, ensuring decisions are based on factual
information rather than intuition or guesswork.
