— 25 Q&A Verified Answers 2025
Course:
BUS 5114 Management Information Systems — University of the People (UoPeople)
Level:
MBA
Year:
2025/2026
Format:
Graded Quiz Solutions — 25 Q&A with Verified Answers
BUS 5114 Unit 7 Graded Quiz — Business Intelligence and
Analytics
25 Questions with Verified Answers | Score: 96/100
Question 1:
Which of the following best defines Business Intelligence (BI)?
A) A programming language used to query relational databases
B) The process of collecting, analysing, and presenting business data to support decision-making
C) A type of artificial intelligence that replaces human managers
D) A software tool exclusively used for financial forecasting
Answer: B
Explanation:
Business Intelligence refers to the technologies, strategies, and practices used to collect,
integrate, analyse, and present business data in ways that help organisations make informed
decisions. It is not limited to a single tool or domain — it encompasses a broad ecosystem of
processes and technologies. Options A, C, and D each describe only narrow or incorrect aspects
of the concept.
, Question 2:
A Key Performance Indicator (KPI) is best described as:
A) A raw data field stored in a data warehouse
B) A measurable value that demonstrates how effectively an organisation is achieving key
business objectives
C) A visualisation chart embedded in a management dashboard
D) A statistical method used to predict future sales volumes
Answer: B
Explanation:
A KPI is a quantifiable metric tied directly to strategic business objectives — for example,
customer acquisition cost, monthly recurring revenue, or employee turnover rate. It differs from
raw data (Option A) in that it carries strategic meaning. Dashboards (Option C) display KPIs but
are not themselves KPIs, and predictive methods (Option D) are analytics tools rather than
measurement frameworks.
Question 3:
Data mining is primarily used to:
A) Store large volumes of structured data in relational tables
B) Extract previously unknown, valid, and actionable patterns from large datasets
C) Transmit data securely between enterprise systems
D) Create graphical reports for executive presentations
Answer: B
Explanation:
Data mining applies statistical, machine learning, and pattern recognition techniques to discover
hidden relationships and trends within large datasets that were not apparent beforehand. It is
distinct from data storage (Option A), transmission (Option C), or reporting (Option D). The
emphasis on "previously unknown" patterns is what distinguishes data mining from standard
reporting.
Question 4: