Deck 1: Introduction

Question 1

Which of the following is not an approach to making decisions?

A)Tradition
B)Rules of thumb
C)Intuition
D)Guess and check

Answer 1

Guess and check

Question 2

Corporate-level managers use ______ to summarize sales by region, current inventory levels, and other company-wide metrics all in a single screen.

A)simulations
B)crosstabulation
C)data dashboards
D)tables

Answer 2

data dashboards

Question 3

Tactical decisions are concerned with

A)the day-to-day activities of the organization.
B)the goals and plans of the organization.
C)the domain of operations managers, who are close to the customer.
D)how the organization should achieve the goals and objectives set by its strategy.

Answer 3

how the organization should achieve the goals and objectives set by its strategy.

Question 4

__________ is the most critical step of the decision-making process.

A)Choosing an alternative
B)Identifying and defining the problem
C)Evaluating the alternatives
D)Determining the set of alternatives

Question 5

Data-driven decision making tends to decrease a firm's

A)market value.
B)productivity.
C)risk.
D)profit.

Question 6

A retail store owner offers a discount on product A and predicts that the customers would purchase products B and C in addition to product A. Identify the technique used to make such a prediction.

A)Data query
B)Simulation
C)Data mining
D)Data dashboards

Question 7

Picks and Axes Inc. is an Internet-based retail seller of hiking boots and mountaineering gear. The company decides to open retail stores across the major areas of the city to help complement its Internet-based strategy. This activity would be categorized as a(n)

A)tactical decision.
B)operational decision.
C)strategic decision.
D)financial decision.

Question 8

When a decision maker is faced with several alternatives and an uncertain set of future events, s/he uses __________ to develop an optimal strategy.

A)utility theory
B)predictive analytics
C)data mining
D)decision analysis

Question 9

Advanced analytics generally refers to

A)descriptive and prescriptive analytics.
B)simulation.
C)predictive and prescriptive analytics.
D)decision analysis.

Question 10

Which of the following best exemplifies big data?

A)Five hundred Facebook users upload one thousand pictures per day.
B)Cellphone owners around the world generate vast amounts of data by calling, texting, tweeting, and browsing the Web on a daily basis.
C)A local grocery store collects data from those that scan their loyalty card.
D)A pharmacy keeps track of customer purchases to send its customers coupons.

Question 11

Simulation optimization helps

A)in identifying the constraints of the situation.
B)to find good decisions in highly complex and highly uncertain settings.
C)in assigning values to outcomes.
D)to model certainty using optimization techniques.

Question 12

A forecast that helps direct police officers to areas where crimes are likely to occur based on past data is an example of ​

A)predictive analytics.
B)decision analysis.
C)prescriptive analytics.
D)descriptive analytics.

Question 13

The decisions concerning an organization's goals and future plans are called

A)financial decisions.
B)tactical decisions.
C)strategic decisions.
D)operational decisions.

Question 14

Which of the following sources of big data is not publicly available?

A)Twitter
B)Weather data
C)Medical records
D)Sports records

Question 15

Which one of the following is used in predictive analytics?

A)Data dashboard
B)Linear regression
C)Data visualization
D)Optimization model

Question 16

The extraction of information on the number of shipments, how much was included in each shipment, the date each shipment was sent, and so on from the manufacturing plant's database exemplifies

A)spreadsheet models.
B)data dashboards.
C)data mining.
D)data queries.

Question 17

__________ assigns values to outcomes based on the decision maker's attitude toward risk, loss, and other factors.

A)Simulation optimization
B)Utility theory
C)Optimization model
D)Data dashboard

Question 18

__________ are used in the pharmaceutical industry to assess the risk of introducing a new drug.

A)Data dashboards
B)Charts
C)Spreadsheet models
D)Simulations

Question 19

Which of the following analytical techniques helps us arrive at the best decision?

A)Predictive analytics
B)Data mining
C)Prescriptive analytics
D)Descriptive analytics

Question 20

Data dashboards are a type of _________ analytics.

A)predictive
B)descriptive
C)prescriptive
D)decision

Question 21

The U.S. Internal Revenue Service uses _____________ to identify patterns that distinguish questionable annual personal income tax filings.

A)utility theory
B)prescriptive analytics
C)data mining
D)decision analysis

Question 22

__________ refers to the technology that allows data, collected from sensors in all types of machines, to be sent over the Internet to repositories where it can be stored and analyzed.

A)Internet of Things (IoT)
B)MapReduce
C)Hadoop
D)Advanced analytics

Question 23

__________ is an open-source programming environment that supports big data processing through distributed storage and distributed processing on clusters of computers.

A)Hadoop
B)Excel
C)Java
D)MapReduce

Question 24

A __________ decision involves higher-level issues and is concerned with the overall direction of the organization, defining the overarching goals and aspirations for the organization's future.

A)strategic
B)tactical
C)intuitive
D)operational

Question 25

Utility theory is the study of the __________ or relative desirability of a particular outcome that reflects the decision maker's attitude toward a collection of factors, such as profit, loss, and risk.

A)total worth
B)total cost
C)feasibility
D)financial wellness

Question 26

In the spectrum of business analytics, which is the most complex?

A)Descriptive
B)Predictive
C)Prescriptive
D)Operational

Question 27

Optimization models can be used to

A)assess the risk of investment portfolios.
B)forecast future financial performance.
C)successfully manage commercial real estate risk.
D)decide on how to invest cash received from insurance policies.

Question 28

__________ refers to a programming model used within Hadoop that performs the two major steps for which it is named: the map step and the reduce step.

A)MapReduce
B)Internet of Things (IoT)
C)Advanced analytics
D)Optimization model

Question 29

A better understanding of consumer behavior through analytics directly leads to

A)more profits.
B)better pricing strategies.
C)reduced advertising costs.
D)reduced risk.

Question 30

__________ analytics use techniques that take input data and yield a best course of action.

A)Prescriptive
B)Simulation
C)Strategic
D)Operational

Question 31

A light bulb manufacturer uses descriptive analytics

A)to present supply chain to managers visually.
B)to achieve efficiency in delivery of goods.
C)to schedule staff and vehicle for delivery.
D)to plan capacity utilization by incorporating the inherent uncertainty in commodities pricing.

Question 32

In order to manage an organization's human resource activities, such as hiring employees, tracking, and influencing employee retention, HR personnel use

A)descriptive and predictive analytics.
B)descriptive and prescriptive analytics.
C)predictive and prescriptive analytics.
D)predictive analytics.

Question 33

_________ analytics are techniques that use models, constructed from past data, to predict the future or to ascertain the impact of one variable on another.

A)Predictive
B)Descriptive
C)Simulation
D)Prescriptive

Question 34

A __________ decision is concerned with how the organization should achieve the goals and objectives set by its strategy.

A)tactical
B)strategic
C)intuitive
D)operational

Question 35

In the financial sector, __________ are used to construct financial instruments such as derivatives.

A)descriptive and prescriptive models
B)predictive models
C)descriptive models
D)prescriptive models