Business Analytics Exam Prep Chapter.12

Package Title: Chapter 12 Test Bank

Course Title: Introduction to IS 9e

Chapter Number: 12


Question type: Multiple Choice


1) Spotify logs one _____byte of user data per day.

a) exa

b) giga

c) mega

d) tera

Difficulty: Easy

Section Reference: Opening Case

Learning Objective 12.3: Provide a definition and a use case example of descriptive analytics.

Bloomcode: Knowledge

Standard: AACSB Technology

2) Spotify’s BaRT system utilizes the information it has obtained about users through its exploit function. This is an example of ____ analytics.

a) descriptive

b) predictive

c) prescriptive

d) presentative

Difficulty: Medium

Section Reference: Opening Case

Learning Objective 12.3: Provide a definition and a use case example of descriptive analytics.

Bloomcode: Analysis

Standard: AACSB Technology

3) Spotify’s BaRT system analyzes users’ music listening history, which songs they have skipped,

what playlists they have created, and their physical locations. This is an example of ____ analytics.

a) descriptive

b) predictive

c) prescriptive

d) presentative

Difficulty: Medium

Section Reference: Opening Case

Learning Objective 12.3: Provide a definition and a use case example of descriptive analytics.

Bloomcode: Analysis

Standard: AACSB Technology

4) It is difficult for Spotify to detect covers of songs on the platform for ____.

a) Blues

b) Classical

c) Jazz

d) Rap

Difficulty: Easy

Section Reference: Opening Case

Learning Objective 12.3: Provide a definition and a use case example of descriptive analytics.

Bloomcode: Knowledge

Standard: AACSB Technology

5) _______________ is the most popular global audio streaming subscription service.

a) Apple Music

b) Amazon Prime Music

c) Pandora

d) Spotify

Difficulty: Easy

Section Reference: Opening Case

Learning Objective 12.3: Provide a definition and a use case example of descriptive analytics.

Bloomcode: Knowledge

Standard: AACSB Technology

6) __________ access analytics applications to perform their jobs.

a) Business analysts

b) Business customers

c) Business users

d) Data scientists

Difficulty: Easy

Section Reference 1: Introduction

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Knowledge

Standard: AACSB Technology

7) __________ typically manage, clean, abstract, and aggregate data as well as conduct a range of analytical and statistical procedures on that data.

a) Business analysts

b) Business customers

c) Business users

d) Data scientists

Difficulty: Easy

Section Reference 1: Introduction

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Knowledge

Standard: AACSB Technology

8) __________ build upon the core competencies with additional mathematics, modeling, algorithmic, programming, and machine-learning skills.

a) Business analysts

b) Business customers

c) Business users

d) Data scientists

Difficulty: Easy

Section Reference 1: Introduction

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Knowledge

Standard: AACSB Technology

9) __________ decide what data should be stored in an organization’s data warehouse.

a) Customers

b) IT people

c) Managers

d) Users

Difficulty: Medium

Section Reference 1: Managers and Decision Making

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Knowledge


10) Management is a process by which an organization achieves its goals (called ______) through the use of resources (called _______).

a) the input; inputs

b) the input; outputs

c) the output; inputs

d) the output; outputs

Difficulty: Easy

Section Reference 1: Managers and Decision Making

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Knowledge


11) Productivity is a _________.

a) function of the number of inputs and outputs for which a manager is responsible

b) measure of how useful a manager is

c) ratio between the inputs and outputs for which a manager is responsible

d) useful way of seeing how important a product is

Difficulty: Easy

Section Reference 1: Managers and Decision Making

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Knowledge


12) ____________ is an interpersonal role.

a) Disseminator

b) Entrepreneur

c) Figurehead

d) Spokesperson

Difficulty: Easy

Section Reference 1: Managers and Decision Making

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Knowledge


13) ____________ is a decisional role.

a) Disseminator

b) Entrepreneur

c) Figurehead

d) Spokesperson

Difficulty: Easy

Section Reference 1: Managers and Decision Making

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Knowledge


14) ____________ is an informational role.

a) Disseminator

b) Entrepreneur

c) Figurehead

d) Negotiator

Difficulty: Easy

Section Reference 1: Managers and Decision Making

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Knowledge


15) ____________ is a decisional role.

a) Analyzer

b) Disseminator

c) Figurehead

d) Negotiator

Difficulty: Easy

Section Reference 1: Managers and Decision Making

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Knowledge


16) ____________ is an informational role.

a) Analyzer

b) Figurehead

c) Leader

d) Negotiator

Difficulty: Easy

Section Reference 1: Managers and Decision Making

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Knowledge


17) ____________ is an interpersonal role.

a) Analyzer

b) Leader

c) Monitor

d) Negotiator

Difficulty: Easy

Section Reference 1: Managers and Decision Making

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Knowledge


18) ____________ is an informational role.

a) Disturbance handler

b) Leader

c) Monitor

d) Negotiator

Difficulty: Easy

Section Reference 1: Managers and Decision Making

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Knowledge


19) ____________ is a decisional role.

a) Disturbance handler

b) Leader

c) Monitor

d) Spokesperson

Difficulty: Easy

Section Reference 1: Managers and Decision Making

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Knowledge


20) _______ is an interpersonal role.

a) Disseminator

b) Disturbance handler

c) Figurehead

d) Monitor

Difficulty: Medium

Section Reference 1: Managers and Decision Making

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Knowledge


21)_________ is a decisional role.

a) Disseminator

b) Disturbance handler

c) Figurehead

d) Monitor

Difficulty: Medium

Section Reference 1: Managers and Decision Making

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Knowledge


22) _________ is an interpersonal role.

a) Entrepreneur

b) Leader

c) Negotiator

d) Spokesperson

Difficulty: Medium

Section Reference 1: Managers and Decision Making

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Knowledge


23) ________ is an informational role.

a) Entrepreneur

b) Leader

c) Negotiator

d) Spokesperson

Difficulty: Medium

Section Reference 1: Managers and Decision Making

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Knowledge


24) _______ is a decisional role.

a) Analyzer

b) Leader

c) Liaison

d) Resource allocator

Difficulty: Medium

Section Reference 1: Managers and Decision Making

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Knowledge


25) ________ is an informational role.

a) Analyzer

b) Leader

c) Liaison

d) Resource allocator

Difficulty: Medium

Section Reference 1: Managers and Decision Making

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Knowledge


26) _______ is NOT a stage in the IDC.

a) Choice

b) Design

c) Intelligence

d) Investigation

Difficulty: Easy

Section Reference 1: Managers and Decision Making

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Knowledge


27) Suppose you are failing one of your classes. If you don’t know what the problem is, you need to enter the _______ phase of the IDC.

a) choice

b) design

c) intelligence

d) implementation

Difficulty: Medium

Section Reference 1: Managers and Decision Making

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Application


28) Suppose you are failing one of your classes. You know you need to pay attention in class, study every day, take better notes, read the book before the lectures, or talk to the teacher about ways to improve. You developed this list in the _________ phase of the IDC.

a) choice

b) design

c) intelligence

d) implementation

Difficulty: Medium

Section Reference 1: Managers and Decision Making

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Application


29) Suppose you are failing one of your classes. Based on your evaluation, you decide to start paying attention in class and talking to the teacher about ways to improve. This decision is part of the _________ phase of the IDC.

a) choice

b) design

c) intelligence

d) implementation

Difficulty: Medium

Section Reference 1: Managers and Decision Making

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Application


30) Suppose you are failing one of your classes. Based on the choice you made to start studying harder, you look over your notes every day after class and study at least an hour every night for at least a week before an exam. This action is part of the ______ phase of the IDC.

a) choice

b) design

c) intelligence

d) implementation

Difficulty: Medium

Section Reference 1: Managers and Decision Making

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Application


31) Examination and answering the question “what is the problem” occur in the ______ phase of the IDC.

a) choice

b) design

c) intelligence

d) implementation

Difficulty: Easy

Section Reference 1: Managers and Decision Making

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Knowledge


32) Validation of the model and answering the question “what are my options” occur in the _____ phase of the IDC.

a) choice

b) design

c) intelligence

d) implementation

Difficulty: Easy

Section Reference 1: Managers and Decision Making

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Knowledge


33) Verification/testing of the proposed solution and picking an option occur in the _____ phase of the IDC.

a) choice

b) design

c) intelligence

d) implementation

Difficulty: Easy

Section Reference 1: Managers and Decision Making

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Knowledge


34) Answering the question “did this option work as proposed” occurs in the _____ phase of the IDC.

a) choice

b) design

c) intelligence

d) implementation

Difficulty: Easy

Section Reference 1: Managers and Decision Making

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Knowledge


35) ___________ decisions deal with routine and repetitive problems.

a) Midstructured

b) Semistructured

c) Structured

d) Unstructured

Difficulty: Easy

Section Reference 1: Managers and Decision Making

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Knowledge


36) __________ decisions deal with “fuzzy”, complex problems.

a) Midstructured

b) Semistructured

c) Structured

d) Unstructured

Difficulty: Easy

Section Reference 1: Managers and Decision Making

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Knowledge


37) _________ decisions are partially routine and partially complex.

a) Midstructured

b) Semistructured

c) Structured

d) Unstructured

Difficulty: Easy

Section Reference 1: Managers and Decision Making

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Knowledge


38) As a purchasing manager, you have to purchase widgets every week to replenish your inventory. This is a(n) ________ decision.

a) midstructured

b) semistructured

c) structured

d) unstructured

Difficulty: Medium

Section Reference 1: Managers and Decision Making

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Application


39) As a board member, you recommend hiring a new CEO to address the scandals that have been reported in the Wall Street Journal. This is a(n) ________ decision.

a) midstructured

b) semistructured

c) structured

d) unstructured

Difficulty: Medium

Section Reference 1: Managers and Decision Making

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Application


40) Every year, you have to give each of your employees a performance review and decide whether they have earned a raise. This is a(n) ________ decision.

a) midstructured

b) semistructured

c) structured

d) unstructured

Difficulty: Medium

Section Reference 1: Managers and Decision Making

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Application


41) Considering the nature of decisions, executing specific tasks efficiently and effectively is ___________.

a) financial planning

b) management control

c) operational control

d) strategic planning

Difficulty: Easy

Section Reference 1: Managers and Decision Making

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Knowledge


42) Considering the nature of decision, acquiring and using resources efficiently in accomplishing organizational goals is ___________.

a) financial planning

b) management control

c) operational control

d) strategic planning

Difficulty: Easy

Section Reference 1: Managers and Decision Making

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Knowledge


43) Considering the nature of decisions, the long-range goals and policies for growth and resource allocation is ___________.

a) financial planning

b) management control

c) operational control

d) strategic planning

Difficulty: Easy

Section Reference 1: Managers and Decision Making

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Knowledge


44) You are an employee in Inside Sales. This means you take calls and address customer issues like entering orders, updating orders, and providing order status reports. This is a(n) _____ task and a(n) _______ decision.

a) structured; management control

b) structured; operational control

c) unstructured; management control

d) unstructured; operational control

Difficulty: Medium

Section Reference 1: Managers and Decision Making

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Application


45) You are a marketing manager responsible for planning the budget for your department. This is a(n) ______ task and a(n) _______ decision.

a) semistructured; management control

b) semistructured; operational control

c) unstructured; management control

d) unstructured; strategic planning

Difficulty: Hard

Section Reference 1: Managers and Decision Making

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Application


46) You are the CEO of Widgets R Us. You know your widgets need to be more efficient and cost less, so you ask R&D to develop a plan. This is a(n) _____ task and a(n) ______ decision.

a) structured; management control

b) structured; operational control

c) unstructured; operational control

d) unstructured; strategic planning

Difficulty: Medium

Section Reference 1: Managers and Decision Making

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Application


47) Lower-level managers typically have to deal with _____ decisions.

a) management control and semistructured

b) management control and structured

c) operational control and semistructured

d) operational control and structured

Difficulty: Easy

Section Reference 1: Managers and Decision Making

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Knowledge


48) Middle managers typically have to deal with _____ decisions.

a) management control and semistructured

b) management control and structured

c) operational control and semistructured

d) operational control and structured

Difficulty: Easy

Section Reference 1: Managers and Decision Making

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Knowledge


49) Senior executives typically have to deal with _____ decisions.

a) management control and semistructured

b) management control and unstructured

c) strategic planning and semistructured

d) strategic planning and unstructured

Difficulty: Easy

Section Reference 1: Managers and Decision Making

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Knowledge


50) Data marts are typically associated with ___________.

a) the development of infrastructure to support enterprise-wide analytics

b) the development of one or a few related analytics applications

c) support for maintaining organizational strategy

d) support for organizational transformation

Difficulty: Easy

Section Reference 1: The Business Analytics Process

Learning Objective 12.2: Describe each phase of the business analytics process.

Bloomcode: Knowledge


51) Data silos are often associated with ___________.

a) the development of infrastructure to support enterprise-wide analytics

b) the development of one or a few related analytics applications

c) support for maintaining organizational strategy

d) support for organizational transformation

Difficulty: Medium

Section Reference 1: The Business Analytics Process

Learning Objective 12.2: Describe each phase of the business analytics process.

Bloomcode: Knowledge


52) You want to make sure your entire organization is using a single data warehouse instead of using a data mart for every department. This is an example of ___________.

a) the development of infrastructure to support enterprise-wide analytics

b) the development of one or a few related analytics applications

c) support for maintaining organizational strategy

d) support for organizational transformation

Difficulty: Medium

Section Reference 1: The Business Analytics Process

Learning Objective 12.2: Describe each phase of the business analytics process.

Bloomcode: Application


53) You decide to implement a new customer loyalty program that rewards customers for shopping in your store. To accomplish this, you need to implement a data warehouse to collect data from all your physical and online stores. This is an example of ___________.

a) the development of infrastructure to support enterprise-wide analytics

b) the development of one or a few related analytics applications

c) support for maintaining organizational strategy

d) support for organizational transformation

Difficulty: Medium

Section Reference 1: The Business Analytics Process

Learning Objective 12.2: Describe each phase of the business analytics process.

Bloomcode: Application


54) The entire business analytics process starts with ___________.

a) a business problem

b) analytics

c) data management

d) recommendations

Difficulty: Medium

Section Reference 1: The Business Analytics Process

Learning Objective 12.2: Describe each phase of the business analytics process.

Bloomcode: Knowledge


55) ______ is NOT a BA tool.

a) Data mining

b) A DSS

c) Multidimensional analysis

d) OLTP

Difficulty: Easy

Section Reference 1: The Business Analytics Process

Learning Objective 12.2: Describe each phase of the business analytics process.

Bloomcode: Knowledge


56) Microsoft _______ is the most common and popular BA tool.

a) Access

b) Data

c) Excel

d) Word

Difficulty: Easy

Section Reference 1: The Business Analytics Process

Learning Objective 12.2: Describe each phase of the business analytics process.

Bloomcode: Knowledge


57) __________ analytics answers the question “what has happened”.

a) Descriptive

b) Predictive

c) Prescriptive

a) Useful

Difficulty: Easy

Section Reference 1: Descriptive Analytics

Learning Objective 12.3: Provide a definition and a use case example for descriptive analytics.

Bloomcode: Knowledge


58) You would use OLAP and DSS as statistical procedures for __________ analytics.

a) descriptive

b) predictive

c) prescriptive

d) useful

Difficulty: Easy

Section Reference 1: Descriptive Analytics

Learning Objective 12.3: Provide a definition and a use case example for descriptive analytics.

Bloomcode: Knowledge


59) Data reduction is the conversion of raw _______ into a smaller amount of more useful _______.

a) data; information

b) data; knowledge

c) information; data

d) information; knowledge

Difficulty: Hard

Section Reference 1: Descriptive Analytics

Learning Objective 12.3: Provide a definition and a use case example for descriptive analytics.

Bloomcode: Synthesis


60) _________ analytics is the first step in data reduction.

a) Descriptive

b) Predictive

c) Prescriptive

d) Useful

Difficulty: Easy

Section Reference 1: Descriptive Analytics

Learning Objective 12.3: Provide a definition and a use case example for descriptive analytics.

Bloomcode: Knowledge


61) _________ involves slicing and dicing data, drilling down in the data, and rolling up data to greater summarization.

a) Data mining

b) DSS

c) OLAP

d) OLTP

Difficulty: Easy

Section Reference 1: Descriptive Analytics

Learning Objective 12.3: Provide a definition and a use case example for descriptive analytics.

Bloomcode: Knowledge


62) __________ can perform two basic operations: 1) identifying previously unknown patters and 2) predicting trends and behaviors.

a) Data mining

b) DSS

c) OLAP

d) OLTP

Difficulty: Easy

Section Reference 1: Descriptive Analytics

Learning Objective 12.3: Provide a definition and a use case example for descriptive analytics.

Bloomcode: Knowledge


63) Examples of _______ include sensitivity, what-if, and goal-seeking analyses.

a) data mining

b) DSS

c) OLAP

d) OLTP

Difficulty: Easy

Section Reference 1: Descriptive Analytics.

Learning Objective 12.3: Provide a definition and a use case example for descriptive analytics.

Bloomcode: Knowledge


64) If you analyze a data cube, this is an example of using ________.

a) data mining

b) DSS

c) OLAP

d) OLTP

Difficulty: Medium

Section Reference 1: Descriptive Analytics

Learning Objective 12.3: Provide a definition and a use case example for descriptive analytics.

Bloomcode: Knowledge


65) Affinity analysis is a(n) _________ application.

a) data mining

b) DSS

c) OLAP

d) OLTP

Difficulty: Medium

Section Reference 1: Descriptive Analytics

Learning Objective 12.3: Provide a definition and a use case example for descriptive analytics.

Bloomcode: Analysis


66) If you want to know what items customers typically buy together so that you can place them next to each other on the shelf, you would be using _________.

a) data mining

b) DSS

c) OLAP

d) OLTP

Difficulty: Medium

Section Reference 1: Descriptive Analytics

Learning Objective 12.3: Provide a definition and a use case example for descriptive analytics.

Bloomcode: Application


67) ______ analysis examines the change in an output given the change in a particular input while keeping all other inputs constant.

a) Affinity

b) Goal-seeking

c) Sensitivity

a) What-if

Difficulty: Easy

Section Reference 1: Descriptive Analytics

Learning Objective 12.3: Provide a definition and a use case example for descriptive analytics.

Bloomcode: Knowledge


68) ______ analysis attempts to predict the impact of changes in the assumptions (input data) on the proposed solution.

a) Affinity

b) Goal-seeking

c) Sensitivity

d) What-if

Difficulty: Easy

Section Reference 1: Descriptive Analytics

Learning Objective 12.3: Provide a definition and a use case example for descriptive analytics.

Bloomcode: Knowledge


69) _____ analysis attempts to calculate the value of the inputs necessary to achieve a desired level of output.

a) Affinity

b) Goal-seeking

c) Sensitivity

d) What-if

Difficulty: Easy

Section Reference 1: Descriptive Analytics

Learning Objective 12.3: Provide a definition and a use case example for descriptive analytics.

Bloomcode: Knowledge


70) You are a jeweler who wants to make sure you have the maximum number of diamonds for sale. You notice that the number of diamonds available drops more when the size is relevant versus when the color is relevant. By comparing these factors, you are conducting a(n) _____ analysis.

a) affinity

b) goal-seeking

c) sensitivity

d) what-if

Difficulty: Medium

Section Reference 1: Descriptive Analytics

Learning Objective 12.3: Provide a definition and a use case example for descriptive analytics.

Bloomcode: Application


71) You assume the inflation rate will remain constant over the next few years, so you consider purchasing a home with a variable interest rate. You decide to double-check this assumption with a(n) __________ analysis.

a) affinity

b) goal-seeking

c) sensitivity

d) what-if

Difficulty: Medium

Section Reference 1: Descriptive Analytics

Learning Objective 12.3: Provide a definition and a use case example for descriptive analytics.

Bloomcode: Application


72) You want to spend a maximum of $100,000 on your first house. You need to use a(n) _____ analysis to figure out the location and size of those types of homes.

a) affinity

b) goal-seeking

c) sensitivity

d) what-if

Difficulty: Medium

Section Reference 1: Descriptive Analytics

Learning Objective 12.3: Provide a definition and a use case example for descriptive analytics.

Bloomcode: Application


73) ________________ analytics is the collection and analysis of clickstream data to measure web traffic, to assess and improve the performance of a website, and to perform market research.

a) Clickstream

b) Collaborative

c) Internet

d) Web

Difficulty: Easy

Section Reference 1: IT’s About Business 12.1

Learning Objective 12.3: Provide a definition and a use case example for descriptive analytics.

Bloomcode: Knowledge

Standard 1: AACSB || Technology

74) Which of the following is NOT one of the main benefits of Google Analytics?

a) Automatic data collection

b) Cost

c) Customized reporting

d) Tracking

Difficulty: Easy

Section Reference 1: IT’s About Business 12.1

Learning Objective 12.3: Provide a definition and a use case example for descriptive analytics.

Bloomcode: Knowledge

Standard 1: AACSB || Technology

75) Which of the following is NOT a use for data mining?

a) Comparing products

b) Detecting fraudulent credit card transactions

c) Forecasting bankruptcy

d) Predicting sales

Difficulty: Medium

Section Reference 1: Predictive Analytics

Learning Objective 12.4: Provide a definition and a use case example for predictive analytics.

Bloomcode: Analysis


76) Targeted marketing relies on _________ analytical information.

a) descriptive

b) predictive

c) prescriptive

d) useful

Difficulty: Medium

Section Reference 1: Predictive Analytics

Learning Objective 12.4: Provide a definition and a use case example for predictive analytics.

Bloomcode: Knowledge


77) ________ analytics examines recent and historical data to detect patterns and predict future outcomes and trends.

a) Descriptive

b) Predictive

c) Prescriptive

d) Useful

Difficulty: Easy

Section Reference 1: Predictive Analytics

Learning Objective 12.4: Provide a definition and a use case example for predictive analytics.

Bloomcode: Knowledge


78) _____ is NOT a statistical tool used for predictive analytics.

a) Data mining

b) Linear regression

c) Logistic regression

d) Multidimensional analysis

Difficulty: Easy

Section Reference 1: Predictive Analytics

Learning Objective 12.4: Provide a definition and a use case example for predictive analytics.

Bloomcode: Knowledge


79) ________ analytics drives the coupons you get at the grocery store when you use your loyalty card.

a) Descriptive

b) Predictive

c) Prescriptive

d) Useful

Difficulty: Medium

Section Reference 1: Predictive Analytics

Learning Objective 12.4: Provide a definition and a use case example for predictive analytics.

Bloomcode: Application


80) _________ analytics answers the question “what could happen?”

a) Descriptive

b) Predictive

c) Prescriptive

d) Useful

Difficulty: Easy

Section Reference 1: Predictive Analytics

Learning Objective 12.4: Provide a definition and a use case example for predictive analytics.

Bloomcode: Knowledge


81) You would use linear, multiple, or logistic regression as statistical procedures for __________ analytics.

a) descriptive

b) predictive

c) prescriptive

d) Useful

Difficulty: Easy

Section Reference 1: Predictive Analytics

Learning Objective 12.4: Provide a definition and a use case example for predictive analytics.

Bloomcode: Knowledge


82) The purpose of predictive analytics is to _____ happen in the future based on ______.

a) forecast what might; algorithms

b) forecast what might; probabilities

c) tell decision makers what will; algorithms

d) tell decision makers what will; probabilities

Difficulty: Easy

Section Reference 1: Predictive Analytics

Learning Objective 12.4: Provide a definition and a use case example for predictive analytics.

Bloomcode: Knowledge


83) After a year of work, Etsy trained a(n) ______ model to effectively define the styles of items on the site based on both textual and visual cues.

a) expert system

b) machine learning

c) neural network

d) ubiquitous

Difficulty: Easy

Section Reference 1: IT’s About Business 12.2

Learning Objective 12.4: Provide a definition and a use case example for predictive analytics.

Bloomcode: Knowledge

Standard 1: AACSB || Technology

84) Etsy collects one ____ events per day; Etsy _____ data management.

a) billion; handles its own

b) billion; outsources

c) million; handles its own

d) million; outsources

Difficulty: Medium

Section Reference 1: IT’s About Business 12.2

Learning Objective 12.4: Provide a definition and a use case example for predictive analytics.

Bloomcode: Knowledge, Comprehension

Standard 1: AACSB || Technology

85) Etsy’s primary competitive advantage is that it found a way to _____.

a) qualify style

b) quantify style

c) recommend music more effectively

d) recommend music more efficiently

Difficulty: Easy

Section Reference 1: IT’s About Business 12.2

Learning Objective 12.4: Provide a definition and a use case example for predictive analytics.

Bloomcode: Knowledge

Standard 1: AACSB || Technology

86) Analytics has notably influenced the strategy and tactics of many sports. _____ has only started analyzing a huge number of variables to assess teams and players very recently.

a) Baseball

b) Basketball

c) Soccer

d) Tennis

Difficulty: Easy

Section Reference 1: IT’s About Business 12.3

Learning Objective 12.4: Provide a definition and a use case example for predictive analytics.

Bloomcode: Knowledge

Standard 1: AACSB || Technology

87) _________ benefited from analytics for ______ games.

a) Chelsea; baseball

b) Chelsea; soccer

c) Liverpool; baseball

d) Liverpool; soccer

Difficulty: Easy

Section Reference 1: IT’s About Business 12.3

Learning Objective 12.4: Provide a definition and a use case example for predictive analytics.

Bloomcode: Knowledge

Standard 1: AACSB || Technology

88) Liverpool did NOT use analytics to improve _____.

a) game analysis

b) personnel

c) stadium seating

d) team expected goals

Difficulty: Easy

Section Reference 1: IT’s About Business 12.3

Learning Objective 12.4: Provide a definition and a use case example for predictive analytics.

Bloomcode: Knowledge

Standard 1: AACSB || Technology

89) ______ analytics require _______ analytics.

a) Descriptive; predictive

b) Descriptive; prescriptive

c) Predictive; prescriptive

d) Prescriptive; predictive

Difficulty: Medium

Section Reference 1: Prescriptive Analytics

Learning Objective 12.5: Provide a definition and a use case example for prescriptive analytics.

Bloomcode: Knowledge


90) _______ are/is NOT a statistical tool for prescriptive analytics.

a) Data mining

b) Decision trees

c) Optimization

d) Simulation

Difficulty: Easy

Section Reference 1: Prescriptive Analytics

Learning Objective 12.5: Provide a definition and a use case example for prescriptive analytics.

Bloomcode: Knowledge


91) _______ analytics answers the question “what should we do”.

a) Descriptive

b) Predictive

c) Prescriptive

d) Useful

Difficulty: Easy

Section Reference 1: Prescriptive Analytics

Learning Objective 12.5: Provide a definition and a use case example for prescriptive analytics.

Bloomcode: Knowledge


92) You would use optimization or simulation for ______ analytics.

a) descriptive

b) predictive

c) prescriptive

d) useful

Difficulty: Easy

Section Reference 1: Prescriptive Analytics

Learning Objective 12.5: Provide a definition and a use case example for prescriptive analytics.

Bloomcode: Knowledge


93) _____________ is deploying analytics applications to address the challenges associated with a unionized workforce and intense competition among low-cost package delivery services.

a) Amazon

b) DHL

c) FedEx

d) UPS

Difficulty: Easy

Section Reference 1: IT’s About Business 12.4

Learning Objective 12.5: Provide a definition and a use case example for prescriptive analytics.

Bloomcode: Knowledge

Standard 1: AACSB || Technology

94) UPS analyzes one _____ data points per day across its facilities.

a) thousand

b) million

c) billion

d) trillion

Difficulty: Easy

Section Reference 1: IT’s About Business 12.4

Learning Objective 12.5: Provide a definition and a use case example for prescriptive analytics.

Bloomcode: Knowledge

Standard 1: AACSB || Technology

95) UPS’s data needs and business impact are/were the highest for _____ analytics.

a) descriptive

b) predictive

c) prescriptive

d) presentative

Difficulty: Medium

Section Reference 1: IT’s About Business 12.4

Learning Objective 12.5: Provide a definition and a use case example for prescriptive analytics.

Bloomcode: Comprehension

Standard 1: AACSB || Technology

96) UPS’s Delivery Information Acquisition Devices are an example of _____ analytics.

a) descriptive

b) predictive

c) prescriptive

d) presentative

Difficulty: Easy

Section Reference 1: IT’s About Business 12.4

Learning Objective 12.5: Provide a definition and a use case example for prescriptive analytics.

Bloomcode: Knowledge

Standard 1: AACSB || Technology

97) UPS’s Package Flow Technologies system is an example of _____ analytics.

a) descriptive

b) predictive

c) prescriptive

d) presentative

Difficulty: Easy

Section Reference 1: IT’s About Business 12.4

Learning Objective 12.5: Provide a definition and a use case example for prescriptive analytics.

Bloomcode: Knowledge

Standard 1: AACSB || Technology

98) UPS’s On-Road Integrated Optimization and Navigation system is an example of _____ analytics.

a) descriptive

b) predictive

c) prescriptive

d) presentative

Difficulty: Easy

Section Reference 1: IT’s About Business 12.4

Learning Objective 12.5: Provide a definition and a use case example for prescriptive analytics.

Bloomcode: Knowledge

Standard 1: AACSB || Technology

99) UPS’s Network Planning Tool is an example of _____ analytics.

a) descriptive

b) predictive

c) prescriptive

d) presentative

Difficulty: Easy

Section Reference 1: IT’s About Business 12.4

Learning Objective 12.5: Provide a definition and a use case example for prescriptive analytics.

Bloomcode: Knowledge

Standard 1: AACSB || Technology

100) _________ is a capability of dashboards that gives the user the ability to go to details at several levels by a series of menus or by clicking on a portion of the screen that can be expanded.

a) CSF

b) Drill down

c) Exception reporting

d) Trend analysis

Difficulty: Easy

Section Reference 1: Presentation Tools

Learning Objective 12.6: Identify and discuss two examples of presentation tools.

Bloomcode: Knowledge


101) _________ is a capability of dashboards that are specific measures of CSFs.

a) Exception reporting

b) KPI

c) Status access

d) Trend analysis

Difficulty: Easy

Section Reference 1: Presentation Tools

Learning Objective 12.6: Identify and discuss two examples of presentation tools.

Bloomcode: Knowledge


102) _______ is a capability of dashboards that reflect the latest data available on KPIs or some other metric often in real time.

a) Drill down

b) Exception reporting

c) Status access

d) Trend analysis

Difficulty: Easy

Section Reference 1: Presentation Tools

Learning Objective 12.6: Identify and discuss two examples of presentation tools.

Bloomcode: Knowledge


103) _______ is a capability of dashboards that highlights deviations larger than certain thresholds.

a) CSF

b) Drill down

c) Exception reporting

d) Trend analysis

Difficulty: Easy

Section Reference 1: Presentation Tools

Learning Objective 12.6: Identify and discuss two examples of presentation tools.

Bloomcode: Knowledge


104) You are looking at a sales report from last month. You notice one salesperson’s numbers are much lower than the rest, so you click on that person’s name to get more details on the products they sold last month. You are using the _______ feature of a dashboard.

a) CSF

b) drill down

c) exception reporting

d) trend analysis

Difficulty: Medium

Section Reference 1: Presentation Tools

Learning Objective 12.6: Identify and discuss two examples of presentation tools.

Bloomcode: Application


105) ______ is an example of a CSF.

a) Adding a new location in Mexico

b) Improving customer satisfaction

c) Providing a 2% cost-of-living salary increase

d) Selling 10% more widgets

Difficulty: Medium

Section Reference 1: Presentation Tools

Learning Objective 12.6: Identify and discuss two examples of presentation tools.

Bloomcode: Application


106) Dashboards evolved from

a) enterprise resource planning systems.

b) executive information systems.

c) functional area information systems.

d) transaction processing systems.

Difficulty: Medium

Section Reference 1: Presentation Tools

Learning Objective 12.6: Identify and discuss two examples of presentation tools.

Bloomcode: Analysis


107) You are an executive working for a Fortune 500 company. You want to see CSFs, ROI, NPV, and other financial information. You would look at the ________ wall in the Management Cockpit.

a) black

b) blue

c) red

d) white

Difficulty: Medium

Section Reference 1: Presentation Tools

Learning Objective 12.6: Identify and discuss two examples of presentation tools.

Bloomcode: Application


108) You are an executive working for a Fortune 500 company. You want to see how your company is performing compared to other businesses in your industry and you want to see how your marketing campaigns are performing. You would look at the ________ wall in the Management Cockpit.

a) black

b) blue

c) red

d) white

Difficulty: Medium

Section Reference 1: Presentation Tools

Learning Objective 12.6: Identify and discuss two examples of presentation tools.

Bloomcode: Application


109) You are an executive working for a Fortune 500 company. You want to see how each factory floor worker is performing compared to every other worker. You would look at the ________ wall in the Management Cockpit.

a) black

b) blue

c) red

d) white

Difficulty: Medium

Section Reference 1: Presentation Tools

Learning Objective 12.6: Identify and discuss two examples of presentation tools.

Bloomcode: Application


110) You are an executive working for a Fortune 500 company. You want to see the status report on your strategic project that extends your business to China. You would look at the ________ wall in the Management Cockpit.

a) black

b) blue

c) red

d) white

Difficulty: Medium

Section Reference 1: Presentation Tools

Learning Objective 12.6: Identify and discuss two examples of presentation tools.

Bloomcode: Application


111) GIS is a computer-based system for capturing, integrating, manipulating, and displaying data using

a) analytics.

b) dashboards.

c) digitized maps.

d) solar energy.

Difficulty: Easy

Section Reference 1: Presentation Tools

Learning Objective 12.6: Identify and discuss two examples of presentation tools.

Bloomcode: Knowledge


112) Which of the following is TRUE of Stitch Fix’s business model compared to their competitors?

a) They create more new products to attract customers.

b) They offer the lowest price.

c) They ship faster.

d) They understand their customers better.

Difficulty: Easy

Section Reference: Closing Case

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Knowledge

Standard: AACSB Technology

113) Stitch Fix’s _____ are central to the company’s business model.

a) expert systems

b) machine learning algorithms

c) neural networks

d) ubiquitous shipping systems

Difficulty: Easy

Section Reference: Closing Case

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Knowledge

Standard: AACSB Technology

114) Stitch Fix’s highest level of analytics is _______.

a) descriptive

b) predictive

c) prescriptive

d) presentation

Difficulty: Medium

Section Reference: Closing Case

Learning Objective 12.4: Provide a definition and a use case example for predictive analytics.

Bloomcode: Analysis

Standard: AACSB Technology

Question type: True/False


115) Spotify used collaborative filtering when they first opened their platform to users to improve their recommender system.

Difficulty: Easy

Section Reference: Opening Case

Learning Objective 12.3: Provide a definition and a use case example of descriptive analytics.

Bloomcode: Knowledge

Standard: AACSB Technology


116) Spotify used an audio analysis algorithm when they first opened their platform to users to improve their recommender system.

Difficulty: Easy

Section Reference: Opening Case

Learning Objective 12.3: Provide a definition and a use case example of descriptive analytics.

Bloomcode: Knowledge

Standard: AACSB Technology


117) Experts argue business analytics and business intelligence should be used interchangeably.

Difficulty: Easy

Section Reference 1: Introduction

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Knowledge


118) The terms business analytics and business intelligence do not mean the same thing.

Difficulty: Easy

Section Reference 1: Introduction

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Knowledge


119) All organizational information systems support decision making.

Difficulty: Easy

Section Reference 1: Introduction

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Knowledge


120) Technical skill requirements are greater for business analysts than for data scientists.

Difficulty: Easy

Section Reference 1: Introduction

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Knowledge


121) Technical skill requirements are greater for data scientists than for business analysts.

Difficulty: Easy

Section Reference 1: Introduction

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Knowledge


122) Only large organizations use business analytics applications.

Difficulty: Easy

Section Reference 1: Introduction

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Knowledge


123) Decision-making is a systematic process.

Difficulty: Easy

Section Reference 1: Managers and Decision Making

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Knowledge


124) You can’t return to previous stages of the IDC, so it is really important to do a good job the first time.

Difficulty: Easy

Section Reference 1: Managers and Decision Making

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Knowledge


125) You have to go through every step of the IDC every time for every problem.

Difficulty: Easy

Section Reference 1: Managers and Decision Making

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Knowledge


126) The IDC is not necessarily linear.

Difficulty: Medium

Section Reference 1: Managers and Decision Making

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Comprehension


127) Implementation of the IDC is successful if the proposed solution solves the problem or seizes the opportunity.

Difficulty: Easy

Section Reference 1: Managers and Decision Making

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Knowledge


128) The correct order of the IDC is intelligence, design, choice, and implementation.

Difficulty: Easy

Section Reference 1: Managers and Decision Making

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Knowledge


129) The IDC stands for intelligence, development, choice.

Difficulty: Easy

Section Reference 1: Managers and Decision Making

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Knowledge


130) The IDC stands for improvement, development, calculation.

Difficulty: Easy

Section Reference 1: Managers and Decision Making

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Knowledge


131) You validate the model in the intelligence phase of the IDC.

Difficulty: Easy

Section Reference 1: Managers and Decision Making

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Knowledge


132) You validate the model in the design phase of the IDC.

Difficulty: Easy

Section Reference 1: Managers and Decision Making

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Knowledge


133) You test the proposed solution in the design phase of the IDC.

Difficulty: Easy

Section Reference 1: Managers and Decision Making

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Knowledge


134) You test the proposed solution in the choice phase of the IDC.

Difficulty: Easy

Section Reference 1: Managers and Decision Making

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Knowledge


135) Business analytics decreases the number of alternatives a manager needs to consider.

Difficulty: Easy

Section Reference 1: Managers and Decision Making

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Knowledge


136) The number of alternatives is constantly increasing.

Difficulty: Easy

Section Reference 1: Managers and Decision Making

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Knowledge


137) Business analytics makes decisions less complex.

Difficulty: Easy

Section Reference 1: Managers and Decision Making

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Knowledge


138) Decisions are becoming more complex.

Difficulty: Easy

Section Reference 1: Managers and Decision Making

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Knowledge


139) The first three phases of the IDC are laid out in a particular sequence for unstructured decisions.

Difficulty: Easy

Section Reference 1: Managers and Decision Making

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Knowledge


140) The first three phases of the IDC are laid out in a particular sequence for structured decisions.

Difficulty: Easy

Section Reference 1: Managers and Decision Making

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Knowledge

141) The procedures for obtaining the best solution are known for structured decisions.

Difficulty: Easy

Section Reference 1: Managers and Decision Making

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Knowledge


142) Structured decisions are candidates for decision reengineering.

Difficulty: Easy

Section Reference 1: Managers and Decision Making

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Knowledge


143) Structured decisions are candidates for decision automation.

Difficulty: Easy

Section Reference 1: Managers and Decision Making

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Knowledge


144) Human intuition and judgment play an important role in making a structured decision.

Difficulty: Easy

Section Reference 1: Managers and Decision Making

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Knowledge


145) Human intuition and judgment play an important role in making an unstructured decision.

Difficulty: Easy

Section Reference 1: Managers and Decision Making

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Knowledge


146) Business analytics can make unstructured decisions.

Difficulty: Easy

Section Reference 1: Managers and Decision Making

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Knowledge


147) Lower-level managers typically handle strategic planning decisions.

Difficulty: Easy

Section Reference 1: Managers and Decision Making

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Knowledge


148) Lower-level managers typically handle operational control decisions.

Difficulty: Easy

Section Reference 1: Managers and Decision Making

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Knowledge


149) Lower-level managers typically handle semistructured decisions.

Difficulty: Easy

Section Reference 1: Managers and Decision Making

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Knowledge


150) Lower-level managers typically handle structured decisions.

Difficulty: Easy

Section Reference 1: Managers and Decision Making

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Knowledge


151) Middle managers typically handle management control decisions and semi-structured tasks.

Difficulty: Medium

Section Reference 1: Managers and Decision Making

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Analysis


152) Senior executives typically handle strategic planning decisions.

Difficulty: Easy

Section Reference 1: Managers and Decision Making

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Knowledge


153) Senior executives typically handle semistructured decisions.

Difficulty: Easy

Section Reference 1: Managers and Decision Making

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Knowledge


154) Senior executives typically handle unstructured decisions.

Difficulty: Easy

Section Reference 1: Managers and Decision Making

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Knowledge


155) DSSs primarily handle structured decisions.

Difficulty: Easy

Section Reference 1: Managers and Decision Making

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Knowledge


156) DSSs can handle semistructured and unstructured decisions.

Difficulty: Easy

Section Reference 1: Managers and Decision Making

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Knowledge


157) BI primarily handles structured decisions.

Difficulty: Easy

Section Reference 1: Managers and Decision Making

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Knowledge


158) BI can handle semistructured and unstructured decisions.

Difficulty: Easy

Section Reference 1: Managers and Decision Making

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Knowledge


159) Expert systems and neural networks are used primarily for structured decisions.

Difficulty: Easy

Section Reference 1: Managers and Decision Making

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Knowledge


160) Expert systems and neural networks are used primarily for unstructured decisions.

Difficulty: Easy

Section Reference 1: Managers and Decision Making

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Knowledge


161) Data marts support the development of one or a few related analytics applications.

Difficulty: Medium

Section Reference 1: The Business Analytics Process

Learning Objective 12.2: Describe each phase of the business analytics process.

Bloomcode: Analysis


162) The entire business analytics process starts with a business problem or organizational “pain point”.

Difficulty: Easy

Section Reference 1: The Business Analytics Process

Learning Objective 12.2: Describe each phase of the business analytics process.

Bloomcode: Knowledge


163) Oracle is the most popular and common business analytics tool.

Difficulty: Easy

Section Reference 1: The Business Analytics Process

Learning Objective 12.2: Describe each phase of the business analytics process.

Bloomcode: Knowledge


164) Excel is the most popular and common business analytics tool.

Difficulty: Easy

Section Reference 1: The Business Analytics Process

Learning Objective 12.2: Describe each phase of the business analytics process.

Bloomcode: Knowledge


165) Business analytics vendors typically design their software so that it interfaces with Excel.

Difficulty: Easy

Section Reference 1: The Business Analytics Process

Learning Objective 12.2: Describe each phase of the business analytics process.

Bloomcode: Knowledge


166) Data reduction is the conversion of raw information into a smaller amount of more useful data.

Difficulty: Medium

Section Reference 1: Descriptive Analytics

Learning Objective 12.3: Provide a definition and a use case example for descriptive analytics.

Bloomcode: Knowledge


167) Prescriptive analytics is the first step in data reduction.

Difficulty: Easy

Section Reference 1: Descriptive Analytics

Learning Objective 12.3: Provide a definition and a use case example for descriptive analytics.

Bloomcode: Knowledge


168) Descriptive analytics is the first step in data reduction.

Difficulty: Easy

Section Reference 1: Descriptive Analytics

Learning Objective 12.3: Provide a definition and a use case example for descriptive analytics.

Bloomcode: Knowledge


169) OLTP is a business intelligence tool.

Difficulty: Easy

Section Reference 1: Descriptive Analytics

Learning Objective 12.3: Provide a definition and a use case example for descriptive analytics.

Bloomcode: Knowledge


170) OLAP is a business intelligence tool.

Difficulty: Easy

Section Reference 1: Descriptive Analytics

Learning Objective 12.3: Provide a definition and a use case example for descriptive analytics.

Bloomcode: Knowledge


171) OLTP is also called multidimensional analysis.

Difficulty: Easy

Section Reference 1: Descriptive Analytics

Learning Objective 12.3: Provide a definition and a use case example for descriptive analytics.

Bloomcode: Knowledge


172) OLAP is also called multidimensional analysis.

Difficulty: Easy

Section Reference 1: Descriptive Analytics

Learning Objective 12.3: Provide a definition and a use case example for descriptive analytics.

Bloomcode: Knowledge


173) Affinity analysis is a data mining application that discovers co-occurrence relationships among activities performed by specific individuals or groups.

Difficulty: Easy

Section Reference 1: Descriptive Analytics

Learning Objective 12.3: Provide a definition and a use case example for descriptive analytics.

Bloomcode: Knowledge


174) What-if analysis examines how sensitive an output is to any change in an input while keeping other inputs constant.

Difficulty: Easy

Section Reference 1: Descriptive Analytics

Learning Objective 12.3: Provide a definition and a use case example for descriptive analytics.

Bloomcode: Knowledge


175) Sensitivity analysis examines how sensitive an output is to any change in an input while keeping other inputs constant.

Difficulty: Easy

Section Reference 1: Descriptive Analytics

Learning Objective 12.3: Provide a definition and a use case example for descriptive analytics.

Bloomcode: Knowledge


176) The what-if analysis attempts to predict the impact of changes in the assumptions on the proposed solution.

Difficulty: Easy

Section Reference 1: Descriptive Analytics

Learning Objective 12.3: Provide a definition and a use case example for descriptive analytics.

Bloomcode: Knowledge


177) The sensitivity analysis attempts to predict the impact of changes in the assumptions on the proposed solution.

Difficulty: Easy

Section Reference 1: Descriptive Analytics

Learning Objective 12.3: Provide a definition and a use case example for descriptive analytics.

Bloomcode: Knowledge


178) Goal-seeking analysis represents a “backward” solution approach.

Difficulty: Hard

Section Reference 1: Descriptive Analytics

Learning Objective 12.3: Provide a definition and a use case example for descriptive analytics.

Bloomcode: Evaluation


179) Goal-seeking analysis attempts to calculate the value of the outputs necessary to achieve a desired level of input.

Difficulty: Easy

Section Reference 1: Descriptive Analytics

Learning Objective 12.3: Provide a definition and a use case example for descriptive analytics.

Bloomcode: Knowledge


180) Goal-seeking analysis attempts to calculate the value of the inputs necessary to achieve a desired level of output.

Difficulty: Easy

Section Reference 1: Descriptive Analytics

Learning Objective 12.3: Provide a definition and a use case example for descriptive analytics.

Bloomcode: Knowledge


181) Conversion rate is the percentage of visitors who leave a website after visiting only one page.

Difficulty: Easy

Section Reference 1: IT’s About Business 12.1

Learning Objective 12.3: Provide a definition and a use case example for descriptive analytics.

Bloomcode: Knowledge

Standard 1: AACSB || Technology

182) Bounce rate is the percentage of visitors who leave a website after visiting only one page.

Difficulty: Easy

Section Reference 1: IT’s About Business 12.1

Learning Objective 12.3: Provide a definition and a use case example for descriptive analytics.

Bloomcode: Knowledge

Standard 1: AACSB || Technology

183) Google Analytics users need to have coding experience to perform A/B testing.

Difficulty: Easy

Section Reference 1: IT’s About Business 12.1

Learning Objective 12.3: Provide a definition and a use case example for descriptive analytics.

Bloomcode: Knowledge

Standard 1: AACSB || Technology

184) Google Analytics users can perform A/B testing without having to write any code.

Difficulty: Easy

Section Reference 1: IT’s About Business 12.1

Learning Objective 12.3: Provide a definition and a use case example for descriptive analytics.

Bloomcode: Knowledge

Standard 1: AACSB || Technology

185) The purpose of prescriptive analytics is to tell decision makers what will happen in the future.

Difficulty: Medium

Section Reference 1: Predictive Analytics

Learning Objective 12.4: Provide a definition and a use case example for predictive analytics.

Bloomcode: Analysis


186) Predictive analytics can only forecast what might happen in the future based on probabilities.

Difficulty: Easy

Section Reference 1: Predictive Analytics

Learning Objective 12.4: Provide a definition and a use case example for predictive analytics.

Bloomcode: Knowledge


187) Prescriptive analytics applications forecast customer behavior and purchasing patterns, identify trends in sales activities, and forecast demand for inputs from suppliers.

Difficulty: Easy

Section Reference 1: Predictive Analytics

Learning Objective 12.4: Provide a definition and a use case example for predictive analytics.

Bloomcode: Knowledge


188) Predictive analytics applications forecast customer behavior and purchasing patterns, identify trends in sales activities, and forecast demand for inputs from suppliers.

Difficulty: Easy

Section Reference 1: Predictive Analytics

Learning Objective 12.4: Provide a definition and a use case example for predictive analytics.

Bloomcode: Knowledge


189) Data mining is a statistical tool for descriptive and predictive analytics.

Difficulty: Easy

Section Reference 1: Predictive Analytics

Learning Objective 12.4: Provide a definition and a use case example for predictive analytics.

Bloomcode: Knowledge


190) Uber and Target experience unintended consequences from using prescriptive analytics.

Difficulty: Easy

Section Reference 1: Predictive Analytics

Learning Objective 12.4: Provide a definition and a use case example for predictive analytics.

Bloomcode: Knowledge


191) Uber and Target experience unintended consequences from using predictive analytics.

Difficulty: Easy

Section Reference 1: Predictive Analytics

Learning Objective 12.4: Provide a definition and a use case example for predictive analytics.

Bloomcode: Knowledge


192) Seventy-five percent of Etsy’s items are mass-produced.

Difficulty: Easy

Section Reference 1: IT’s About Business 12.2

Learning Objective 12.4: Provide a definition and a use case example for predictive analytics.

Bloomcode: Knowledge

Standard 1: AACSB || Technology

193) Seventy-five percent of Etsy’s items are handmade and unique.

Difficulty: Easy

Section Reference 1: IT’s About Business 12.2

Learning Objective 12.4: Provide a definition and a use case example for predictive analytics.

Bloomcode: Knowledge

Standard 1: AACSB || Technology

194) Etsy taught its search engine to understand style through a machine learning model.

Difficulty: Easy

Section Reference 1: IT’s About Business 12.2

Learning Objective 12.4: Provide a definition and a use case example for predictive analytics.

Bloomcode: Knowledge

Standard 1: AACSB || Technology

195) Etsy relies on sellers to convey a product’s style in their descriptions.

Difficulty: Easy

Section Reference 1: IT’s About Business 12.2

Learning Objective 12.4: Provide a definition and a use case example for predictive analytics.

Bloomcode: Knowledge

Standard 1: AACSB || Technology

196) Etsy migrated its data management to Google Cloud.

Difficulty: Easy

Section Reference 1: IT’s About Business 12.2

Learning Objective 12.4: Provide a definition and a use case example for predictive analytics.

Bloomcode: Knowledge

Standard 1: AACSB || Technology

197) It is easy to quantify scoring plays in baseball, basketball, and soccer.

Difficulty: Easy

Section Reference 1: IT’s About Business 12.3

Learning Objective 12.4: Provide a definition and a use case example for predictive analytics.

Bloomcode: Knowledge

Standard 1: AACSB || Technology

198) It is easy to quantify scoring plays in baseball and basketball, but it is not as easy in soccer.

Difficulty: Easy

Section Reference 1: IT’s About Business 12.3

Learning Objective 12.4: Provide a definition and a use case example for predictive analytics.

Bloomcode: Knowledge

Standard 1: AACSB || Technology

199) Most soccer executives assume the sport is unsuited to analytics.

Difficulty: Easy

Section Reference 1: IT’s About Business 12.3

Learning Objective 12.4: Provide a definition and a use case example for predictive analytics.

Bloomcode: Knowledge

Standard 1: AACSB || Technology

200) Prescriptive analytics require predictive analytics with one additional component: actionable data.

Difficulty: Medium

Section Reference 1: Prescriptive Analytics

Learning Objective 12.5: Provide a definition and a use case example for prescriptive analytics.

Bloomcode: Analysis


201) Predictive analytics require prescriptive analytics with two additional components: actionable data and a feedback system that tracks the outcome produced by the action taken.

Difficulty: Easy

Section Reference 1: Prescriptive Analytics

Learning Objective 12.5: Provide a definition and a use case example for prescriptive analytics.

Bloomcode: Knowledge


202) Prescriptive analytics require predictive analytics with two additional components: actionable data and a feedback system that tracks the outcome produced by the action taken.

Difficulty: Easy

Section Reference 1: Prescriptive Analytics

Learning Objective 12.5: Provide a definition and a use case example for prescriptive analytics.

Bloomcode: Knowledge


203) Predictive analytics goes beyond descriptive and prescriptive models by recommending one or more courses of action and by identifying the likely outcome of each decision.

Difficulty: Easy

Section Reference 1: Prescriptive Analytics

Learning Objective 12.5: Provide a definition and a use case example for prescriptive analytics.

Bloomcode: Knowledge


204) Prescriptive analytics goes beyond descriptive and predictive models by recommending one or more courses of action and by identifying the likely outcome of each decision.

Difficulty: Easy

Section Reference 1: Prescriptive Analytics

Learning Objective 12.5: Provide a definition and a use case example for prescriptive analytics.

Bloomcode: Knowledge


205) Prescriptive analytics attempts to quantify the effect of future decisions in order to advise on possible outcomes before the decisions are actually made.

Difficulty: Easy

Section Reference 1: Prescriptive Analytics

Learning Objective 12.5: Provide a definition and a use case example for prescriptive analytics.

Bloomcode: Knowledge


206) UPS uses descriptive, predictive, and prescriptive analytics.

Difficulty: Easy

Section Reference 1: IT’s About Business 12.4

Learning Objective 12.5: Provide a definition and a use case example for prescriptive analytics.

Bloomcode: Knowledge

Standard 1: AACSB || Technology

207) With UPS’s Package Flow Technologies system, drivers were able to easily optimize their routes.

Difficulty: Easy

Section Reference 1: IT’s About Business 12.4

Learning Objective 12.5: Provide a definition and a use case example for prescriptive analytics.

Bloomcode: Knowledge

Standard 1: AACSB || Technology

208) UPS drivers could not optimize their routes with predictive analytics, so UPS took analytics “to the next level” with prescriptive analytics.

Difficulty: Easy

Section Reference 1: IT’s About Business 12.4

Learning Objective 12.5: Provide a definition and a use case example for prescriptive analytics.

Bloomcode: Knowledge

Standard 1: AACSB || Technology

209) UPS drivers could not optimize their routes with prescriptive analytics, so UPS took analytics “to the next level” with predictive analytics.

Difficulty: Easy

Section Reference 1: IT’s About Business 12.4

Learning Objective 12.5: Provide a definition and a use case example for prescriptive analytics.

Bloomcode: Knowledge

Standard 1: AACSB || Technology

210) Expert systems are the most common BA presentation tool.

Question Title: Testbank 12.113

Difficulty: Easy

Section Reference 1: Presentation Tools

Learning Objective 12.6: Identify and discuss two examples of presentation tools.

Bloomcode: Knowledge


211) Dashboards are the most common BA presentation tool.

Difficulty: Easy

Section Reference 1: Presentation Tools

Learning Objective 12.6: Identify and discuss two examples of presentation tools.

Bloomcode: Knowledge


212) A dashboard is an application of the management cockpit.

Difficulty: Easy

Section Reference 1: Presentation Tools

Learning Objective 12.6: Identify and discuss two examples of presentation tools.

Bloomcode: Knowledge


213) The Management Cockpit is a dashboard used by executives and board members.

Difficulty: Easy

Section Reference 1: Presentation Tools

Learning Objective 12.6: Identify and discuss two examples of presentation tools.

Bloomcode: Knowledge


214) The Management Cockpit has two walls for different business issues that are important to executives: finances and competitive advantage.

Difficulty: Easy

Section Reference 1: Presentation Tools

Learning Objective 12.6: Identify and discuss two examples of presentation tools.

Bloomcode: Knowledge


215) A mashup is a computer-based system for capturing, integrating, manipulating, and displaying data using digitized maps.

Difficulty: Easy

Section Reference 1: Presentation Tools

Learning Objective 12.6: Identify and discuss two examples of presentation tools.

Bloomcode: Knowledge


216) A GIS is a computer-based system for capturing, integrating, manipulating, and displaying data using digitized maps.

Difficulty: Easy

Section Reference 1: Presentation Tools

Learning Objective 12.6: Identify and discuss two examples of presentation tools.

Bloomcode: Knowledge


217) Stitch Fix uses natural language processing algorithms to analyze customer comments and further refine their matching algorithms.

Difficulty: Easy

Section Reference: Closing Case

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Knowledge

Standard: AACSB Technology

218) Stitch Fix did not lay off anyone in conjunction with the COVID-19 pandemic due to their success online.

Difficulty: Easy

Section Reference: Closing Case

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Knowledge

Standard: AACSB Technology

Question type: Text Entry


219) Business _______________ has been defined as a broad category of applications, technologies, and processes for gathering, storing, accessing, and analyzing data to help business users make better decisions.

Difficulty: Easy

Section Reference 1: Introduction

Learning Objective 12.2: Describe each phase of the business analytics process.

Bloomcode: Knowledge


220) Business intelligence has been defined as a broad category of _____________________ ______________________________________ for gathering, storing, accessing, and analyzing data to help business users make better decisions.

Difficulty: Medium

Section Reference 1: Introduction

Learning Objective 12.2: Describe each phase of the business analytics process.

Bloomcode: Knowledge


221) ________________ is a process by which an organization achieves its goals through the use of resources.

Difficulty: Easy

Section Reference 1: Managers and Decision Making

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Knowledge


222) Management is a process by which an organization achieves its goals through the use of ___________.

Difficulty: Easy

Section Reference 1: Managers and Decision Making

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Knowledge


223) __________________ is the ratio between the inputs and outputs for which a manager is responsible.

Difficulty: Easy

Section Reference 1: Managers and Decision Making

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Knowledge


224) The figurehead, leader, and liaison are ___________________ roles.

Difficulty: Easy

Section Reference 1: Managers and Decision Making

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Knowledge


225) The monitor, disseminator, spokesperson, and analyzer are ___________________ roles.

Difficulty: Easy

Section Reference 1: Managers and Decision Making

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Knowledge


226) The entrepreneur, disturbance handler, resource allocator, and negotiator are ___________________ roles.

Difficulty: Easy

Section Reference 1: Managers and Decision Making

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Knowledge


227) A(n) _____________________ refers to a choice among two or more alternatives that individuals and groups make.

Difficulty: Easy

Section Reference 1: Managers and Decision Making

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Knowledge


228) The IDC created by Herbert Simon stands for ______________.

Difficulty: Easy

Section Reference 1: Managers and Decision Making

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Knowledge

229) In the ________________________ phase, managers examine a situation and then identify and define the problem or opportunity.

Difficulty: Easy

Section Reference 1: Managers and Decision Making

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Knowledge

230) In the ________________________ phase, decision makers construct a model for addressing the situation.

Difficulty: Easy

Section Reference 1: Managers and Decision Making

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Knowledge

231) The ________________________ phase involves selecting a solution or course of action that seems best suited to resolve the problem.

Difficulty: Easy

Section Reference 1: Managers and Decision Making

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Knowledge

232) __________ decisions deal with routine and repetitive problems for which standard solutions exist.

Difficulty: Easy

Section Reference 1: Managers and Decision Making

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Knowledge

233) __________ decisions are intended to deal with “fuzzy” complex problems for which there are no cut-and-dried solutions.

Difficulty: Easy

Section Reference 1: Managers and Decision Making

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Knowledge

234) __________ decisions require a combination of standard solution procedures and individual judgment.

Difficulty: Easy

Section Reference 1: Managers and Decision Making

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Knowledge

235) Managers execute specific tasks efficiently and effectively with _____________________ control.

Difficulty: Easy

Section Reference 1: Managers and Decision Making

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Knowledge

236) Managers acquire and use resources efficiently in accomplishing organizational goals with _____________________ control.

Difficulty: Easy

Section Reference 1: Managers and Decision Making

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Knowledge

237) Managers develop long-range goals and policies for growth and resource allocation with _____________________ planning.

Difficulty: Easy

Section Reference 1: Managers and Decision Making

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Knowledge

238) Business __________________ is the process of developing actionable decisions or recommendations for actions based on insights generated from historical data.

Difficulty: Easy

Section Reference 1: The Business Analytics Process

Learning Objective 12.2: Describe each phase of the business analytics process.

Bloomcode: Knowledge


239) Business analytics is the process of developing actionable decisions or recommendations for actions based on insights generated from ______________ data.

Difficulty: Hard

Section Reference 1: The Business Analytics Process

Learning Objective 12.2: Describe each phase of the business analytics process.

Bloomcode: Evaluation


240) ______ is the most popular and common business analytics tool.

Difficulty: Easy

Section Reference 1: The Business Analytics Process

Learning Objective 12.2: Describe each phase of the business analytics process.

Bloomcode: Knowledge


241) ______________________ is the process of converting raw data into a smaller amount of more useful information.

Difficulty: Medium

Section Reference 1: Descriptive Analytics

Learning Objective 12.3: Provide a definition and a use case example for descriptive analytics.

Bloomcode: Knowledge


242) _____________ analytics summarize what has happened in the past and allow decision makers to learn from past behaviors.

Difficulty: Easy

Section Reference 1: Descriptive Analytics

Learning Objective 12.3: Provide a definition and a use case example for descriptive analytics.

Bloomcode: Knowledge


243) ________________________ involves “slicing and dicing” the data that are stored in a dimensional format, “drilling down” in the data to greater detail, and “rolling up” the data to greater summarization (less detail).

Difficulty: Easy

Section Reference 1: Descriptive Analytics

Learning Objective 12.3: Provide a definition and a use case example for descriptive analytics.

Bloomcode: Knowledge


244) _____________ refers to the process of searching for valuable business information in a large database, data warehouse, or data mart.

Difficulty: Easy

Section Reference 1: Descriptive Analytics

Learning Objective 12.3: Provide a definition and a use case example for descriptive analytics.

Bloomcode: Knowledge


245) _____________ analysis is a data mining application that discovers co-occurrence relationships among activities performed by specific individuals or groups.

Difficulty: Easy

Section Reference 1: Descriptive Analytics

Learning Objective 12.3: Provide a definition and a use case example for descriptive analytics.

Bloomcode: Knowledge


246) _____________ combine models and data to analyze semistructured problems and some unstructured problems that involve extensive user involvement.

Difficulty: Easy

Section Reference 1: Descriptive Analytics

Learning Objective 12.3: Provide a definition and a use case example for descriptive analytics.

Bloomcode: Knowledge


247) _____________ analysis examines how sensitive an output is to any change in an input while keeping other inputs constant.

Difficulty: Easy

Section Reference 1: Descriptive Analytics

Learning Objective 12.3: Provide a definition and a use case example for descriptive analytics.

Bloomcode: Knowledge


248) _____________ analysis attempts to predict the impact of changes in the assumptions on the proposed solution.

Difficulty: Easy

Section Reference 1: Descriptive Analytics

Learning Objective 12.3: Provide a definition and a use case example for descriptive analytics.

Bloomcode: Knowledge


249) _____________ analysis attempts to calculate the value of the inputs necessary to achieve a desired level of output.

Difficulty: Easy

Section Reference 1: Descriptive Analytics

Learning Objective 12.3: Provide a definition and a use case example for descriptive analytics.

Bloomcode: Knowledge


250) ________ analytics examines recent and historical data to detect patterns and predict future outcomes and trends.

Difficulty: Easy

Section Reference 1: Predictive Analytics

Learning Objective 12.4: Provide a definition and a use case example for predictive analytics.

Bloomcode: Knowledge


251) _____ analytics go beyond descriptive and predictive models by recommending one or more courses of action and showing the likely outcome of each decision.

Difficulty: Easy

Section Reference 1: Prescriptive Analytics

Learning Objective 12.5: Provide a definition and a use case example for prescriptive analytics.

Bloomcode: Knowledge


252) A(n) _____________ provides easy access to timely information and direct access to management reports.

Difficulty: Easy

Section Reference 1: Presentation Tools

Learning Objective 12.6: Identify and discuss two examples of presentation tools.

Bloomcode: Knowledge


253) ____________________ are the factors most critical for the success of business.

Difficulty: Easy

Section Reference 1: Presentation Tools

Learning Objective 12.6: Identify and discuss two examples of presentation tools.

Bloomcode: Knowledge


254) ____________________________ are the specific measures of CSFs.

Difficulty: Easy

Section Reference 1: Presentation Tools

Learning Objective 12.6: Identify and discuss two examples of presentation tools.

Bloomcode: Knowledge


255) _______________________ is the latest data available on a KPI or some other metric often in real time.

Difficulty: Easy

Section Reference 1: Presentation Tools

Learning Objective 12.6: Identify and discuss two examples of presentation tools.

Bloomcode: Knowledge


256) ________________________ highlights deviations larger than defined thresholds.

Difficulty: Easy

Section Reference 1: Presentation Tools

Learning Objective 12.6: Identify and discuss two examples of presentation tools.

Bloomcode: Knowledge


257) Considering the management cockpit room, the _____ wall displays the principal success factors and financial indicators.

Difficulty: Easy

Section Reference 1: Presentation Tools

Learning Objective 12.6: Identify and discuss two examples of presentation tools.

Bloomcode: Knowledge


258) Considering the management cockpit room, the _____ wall measures market performance.

Difficulty: Easy

Section Reference 1: Presentation Tools

Learning Objective 12.6: Identify and discuss two examples of presentation tools.

Bloomcode: Knowledge


259) Considering the management cockpit room, the _____ wall projects the performance of internal processes and employees.

Difficulty: Easy

Section Reference 1: Presentation Tools

Learning Objective 12.6: Identify and discuss two examples of presentation tools.

Bloomcode: Knowledge


260) Considering the management cockpit room, the _____ wall indicates the status of strategic projects.

Difficulty: Easy

Section Reference 1: Presentation Tools

Learning Objective 12.6: Identify and discuss two examples of presentation tools.

Bloomcode: Knowledge


261) A(n) ___________________________ is a computer-based system for capturing, integrating, manipulating, and displaying data using digitized maps.

Difficulty: Easy

Section Reference 1: Presentation Tools

Learning Objective 12.6: Identify and discuss two examples of presentation tools.

Bloomcode: Knowledge


Question Type: Essay


262) Suppose someone posted something inappropriate about you online. How would you follow the IDC to address this problem?

Difficulty: Medium

Section Reference 1: Managers and Decision Making

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Application, Comprehension

Solution:

Intelligence – What is the problem? Students may consider various problems here: something inappropriate is online is the obvious from the question but the problem is that the student has done something inappropriate and/or the student has a bad relationship with someone such that they would post the inappropriate thing online

Design – What are my options? Depending on the problem definition, students should come up with things like not continuing inappropriate behavior, ensuring nobody is around when engaging in inappropriate behavior, or asking people not to post things that are inappropriate for the first problem or confronting the person and asking them to take the post down, seeking help from law enforcement, or flagging the post as inappropriate on the social media site for the second problem

Choice – Pick an option. Students need to pick one of the options listed above and explain why they chose it.

Implementation – Follow-up. Students need to explain that they will follow-up with the social media site to ensure nothing else inappropriate is posted in the future and/or that the inappropriate post was removed from the website


263) What trends make decision making so difficult? How does technology help with this?

Difficulty: Medium

Section Reference 1: Managers and Decision Making

Learning Objective 12.1: Use a decision support framework to demonstrate how technology supports managerial decision making at each phase of the decision-making process.

Bloomcode: Analysis
Solution:

trends

• The number of alternatives is constantly increasing
• Decisions must be made under time pressure
• Sophisticated analyses are required to make good decisions
• Data and decision makers are all in different locations; these things must be brought together quickly and cost effectively

Technology – everything can be in one place (assuming one system) and some decisions could be automated (or at least the computer can do some calculations)

264) There are three specific analytics targets that represent different levels of change. List and describe these targets. If you owned a small organization, what target would you use and why? Now assume you are the CEO of a large organization; what target would you use and why?

Difficulty: Medium

Section Reference 1: The Business Analytics Process

Learning Objective 12.2: Describe each phase of the business analytics process.

Bloomcode: Application
Solution:

• the development of one or a few related analytics applications = data mart or independent application; most likely to be used be a small organization; large organizations should take caution as these could create data silos
• The development of infrastructure to support enterprisewide analytics = data warehouse for current and future analytics needs; basically, consolidating platforms (so useful particularly for large organizations who want to integrate departments)
• Support for organizational transformation = create a new business model to enable the business strategy; this requires the buy-in from the CEO and other c-levels; a CEO would want to implement this if he/she wants to implement a major change

265) Suppose you want to know why your car sales have declined but your truck sales have increased over the last three years. What type of analytics is this? List and describe the statistical tools you could use to analyze the problem. Explain which one you would choose and why.

Difficulty: Medium

Section Reference 1: Descriptive Analytics

Learning Objective 12.3: Provide a definition and a use case example for descriptive analytics.

Bloomcode: Application
Solution:

Descriptive analytics because this is summarizing what has happened in the past and enables decision makers to learn from past behaviors

Three tools:

• OLAP (online analytical processing) or multidimensional analysis = slicing and dicing, drilling down, rolling up; look at all the car/truck sales for each of the three years to see if there is a trend and then look at specific sales people or locations
• Data mining = the process of searching for valuable business information in a large database, data warehouse, or data mart (looking for patterns); determine if there may be a weather correlation or something
• DSS (decision support systems) = combine models and data to analyze semistructured problems and some unstructured problems that involve extensive user involvement; create models to figure out what type of marketing may be useful (sensitivity, what-if, goal-seeking)

266) List and describe the capabilities of dashboards. Assuming you are the CEO of Uber, draw a dashboard that you would like to see.

Difficulty: Medium

Section Reference 1: Presentation Tools

Learning Objective 12.6: Identify and discuss two examples of presentation tools.

Hint: Think about what kind of information you would want to see to make decisions as a CEO (hiring drivers, cities to make your service available, etc.).

Bloomcode: Application

Solution:

Dashboard:

Students should draw pie charts, meters, etc. (see Figure 12.4)

Information should include things like employee status (how often do they work, what kind of car do they drive, what is their safety record, etc.), site access in specific cities, times the service is used the most, revenue (per driver), expenses (e.g. marketing, website maintenance, employee pay, etc.)