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Welcome to the Advanced Data Analytics for Business MCQs Page

Dive deep into the fascinating world of Advanced Data Analytics for Business with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Advanced Data Analytics for Business, a crucial aspect of Big Data Computing. In this section, you will encounter a diverse range of MCQs that cover various aspects of Advanced Data Analytics for Business, from the basic principles to advanced topics. Each question is thoughtfully crafted to challenge your knowledge and deepen your understanding of this critical subcategory within Big Data Computing.

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Check out the MCQs below to embark on an enriching journey through Advanced Data Analytics for Business. Test your knowledge, expand your horizons, and solidify your grasp on this vital area of Big Data Computing.

Note: Each MCQ comes with multiple answer choices. Select the most appropriate option and test your understanding of Advanced Data Analytics for Business. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

Advanced Data Analytics for Business MCQs | Page 2 of 15

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Q11.
Which layer of complexity in analytics involves leveraging the past to predict potential future outcomes?

a.

Descriptive analytics

b.

Predictive analytics

c.

Prescriptive analytics

d.

Foresight analytics

Discuss
Answer: (b).Predictive analytics Explanation:Predictive analytics involves leveraging the past to predict potential future outcomes.
Q12.
What does "business agility" in the context of business analytics refer to?

a.

The ability to adapt to changing market conditions in real-time

b.

The flexibility of organizational processes

c.

The speed of decision-making

d.

The alignment of business strategies

Discuss
Answer: (a).The ability to adapt to changing market conditions in real-time Explanation:"Business agility" in the context of business analytics refers to the ability to adapt to changing market conditions in real-time.
Q13.
What is the primary focus of human capital analytics?

a.

Optimizing supply chain operations

b.

Improving public safety

c.

Enhancing workforce productivity

d.

Detecting water leakages

Discuss
Answer: (c).Enhancing workforce productivity Explanation:Human capital analytics, also known as workforce analytics, relates to service industries where human resources are the foremost means of production.
Q14.
Which theme of customer needs in business analytics involves gaining a deeper understanding of why things are happening?

a.

Information access

b.

Insight

c.

Foresight

d.

Business agility

Discuss
Answer: (b).Insight Explanation:The theme of "Insight" in customer needs involves gaining a deeper understanding of why things are happening.
Q15.
What is the primary goal of "Strategic alignment" in business analytics?

a.

Recording customer preferences

b.

Real-time decision optimization

c.

Aligning everyone in the organization from strategy to execution

d.

Fostering informed decision-making

Discuss
Answer: (c).Aligning everyone in the organization from strategy to execution Explanation:The primary goal of "Strategic alignment" in business analytics is aligning everyone in the organization from strategy to execution.
Q16.
Which layer of analytics focuses on fostering informed or collaborative decision-making across the organization?

a.

Information access

b.

Foresight

c.

Business agility

d.

Strategic alignment

Discuss
Answer: (a).Information access Explanation:The layer of "Information access" in analytics focuses on fostering informed or collaborative decision-making across the organization.
Q17.
In which sector is "Fraud and risk analytics" primarily applied?

a.

Healthcare

b.

Financial sector

c.

Public safety

d.

Energy

Discuss
Answer: (b).Financial sector Explanation:"Fraud and risk analytics" is primarily applied in the financial sector.
Q18.
What is the first step organizations should take when embarking on the applications of business analytics?

a.

Begin with predictive analytics

b.

Treat data and information as a strategic asset

c.

Establish data warehouses

d.

Analyze historical data

Discuss
Answer: (b).Treat data and information as a strategic asset Explanation:Organizations should begin with an information management agenda that treats data and information as a strategic asset when undertaking the applications of business analytics.
Q19.
What is the primary focus of descriptive analytics?

a.

Predicting future trends

b.

Analyzing historical data

c.

Prescribing solutions to problems

d.

Identifying patterns in real-time data

Discuss
Answer: (b).Analyzing historical data Explanation:Descriptive analytics focuses on analyzing historical data and identifying patterns from samples for reporting of trends.
Q20.
Which of the following is NOT a task associated with descriptive analytics?

a.

Usual reporting and dashboards

b.

Ad hoc reporting

c.

Predicting future trends

d.

Analysis/query

Discuss
Answer: (c).Predicting future trends Explanation:Predicting future trends is not a task associated with descriptive analytics.
Page 2 of 15

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