Question 1

Predictive analysis focuses on future-oriented,potential behaviors as opposed to merely classifying past behaviors.

Accepted Answer

A) True 
 B)False  True

Question 2

_________ analysis tries to uncover explanatory and predictive models of business performance based on the relationship between data inputs and business outcomes.

Accepted Answer

A) Regression 
B) Descriptive 
C) Predictive 
D) Perceptive 
E) None of these are correct. 
A) Regression 
B) Descriptive 
C) Predictive 
D) Perceptive 
E) None of these are correct. C

Question 3

Applications of Big Data in the real world might include which of the following?

Accepted Answer

A) Improving customer retention rates 
B) Dealing with negative word of mouth 
C) Creating personalized promotions 
D) All of these are valid applications of Big Data. 
E) Only b and c are valid examples of Big Data. 
A) Improving customer retention rates 
B) Dealing with negative word of mouth 
C) Creating personalized promotions 
D) All of these are valid applications of Big Data. 
E) Only b and c are valid examples of Big Data. D

Question 4

The analysis technique that involves seeing how a dependent variable might change when one or more independent variables changes,such as to see if a customer can be cross-sold or up-sold at the point of purchase is known as

Accepted Answer

A) purchase analysis. 
B) regression analysis. 
C) descriptive analysis. 
D) time series analysis. 
E) simulation analysis. 
A) purchase analysis. 
B) regression analysis. 
C) descriptive analysis. 
D) time series analysis. 
E) simulation analysis.

Question 5

The analysis that Major League Baseball uses to create its schedule each year,to optimize stadium commitments,travel,hotel,sponsorships,and other factors is an example of

Accepted Answer

A) descriptive analysis. 
B) prescriptive analysis. 
C) chronological analysis. 
D) predictive analysis. 
E) spatial analysis. 
A) descriptive analysis. 
B) prescriptive analysis. 
C) chronological analysis. 
D) predictive analysis. 
E) spatial analysis.

Question 6

Taking multiple,random samples from an existing data set and running thousands of "what if" analyses,each with different assumptions about market conditions and other marketplace dynamics,is an example of which of the following?

Accepted Answer

A) Regression analysis 
B) Trend analysis 
C) Time series analysis 
D) Simulation analysis 
E) Spectral analysis 
A) Regression analysis 
B) Trend analysis 
C) Time series analysis 
D) Simulation analysis 
E) Spectral analysis

Question 7

Apple uses data in one context that is linked to data in another context,and another and another,to get a 360-degree view of customer purchasing.This is an example of omni-transactional data.

Accepted Answer

A) True 
 B)False

Question 8

Big Data is the process of ____________ large and varied data sets.

Accepted Answer

A) capturing,understanding,and distributing 
B) detecting,merging,and analysing 
C) capturing,merging,and analysing 
D) securing,validating,and storing 
E) researching,analyzing,and storing 
A) capturing,understanding,and distributing 
B) detecting,merging,and analysing 
C) capturing,merging,and analysing 
D) securing,validating,and storing 
E) researching,analyzing,and storing

Question 9

The descriptive analysis technique whose goal is to integrate and analyze data from various sources as opposed to relying on only a single source is known as

Accepted Answer

A) data harmonization. 
B) data mining. 
C) data fusion. 
D) neural networks. 
E) visualization. 
A) data harmonization. 
B) data mining. 
C) data fusion. 
D) neural networks. 
E) visualization.

Question 10

What statement best describes what prescriptive analysis is used for?

Accepted Answer

A) To uncover explanatory and predictive models of business performance based on the relationship between data inputs and business outcomes. 
B) To understand business performance. 
C) To extract patterns from large datasets. 
D) To determine a set of high-value alternative actions for the purposes of improving business performance. 
E) To determine if a customer can be cross-sold or up-sold a product at the point of purchase. 
A) To uncover explanatory and predictive models of business performance based on the relationship between data inputs and business outcomes. 
B) To understand business performance. 
C) To extract patterns from large datasets. 
D) To determine a set of high-value alternative actions for the purposes of improving business performance. 
E) To determine if a customer can be cross-sold or up-sold a product at the point of purchase.

Question 11

Recognizing patterns,such as identifying fraudulent insurance claims made by otherwise consistent policyholders,is an example of which kind of descriptive analysis technique?

Accepted Answer

A) Data screening 
B) Visualization 
C) Neural networks 
D) Data fusion 
E) Data mining 
A) Data screening 
B) Visualization 
C) Neural networks 
D) Data fusion 
E) Data mining

Question 12

The most challenging of the four dimensions of Big Data is considered to be

Accepted Answer

A) volume 
B) veracity 
C) velocity 
D) variety 
E) All dimensions are equally challenging. 
A) volume 
B) veracity 
C) velocity 
D) variety 
E) All dimensions are equally challenging.

Question 13

Voice of the Customer (VOC)data are largely structured social media posts.

Accepted Answer

A) True 
 B)False

Question 14

The veracity dimension of Big Data is considered the most challenging of all.

Accepted Answer

A) True 
 B)False

Question 15

Data mining is a descriptive analysis technique used for finding nonlinear patterns in the data.

Accepted Answer

A) True 
 B)False

Question 16

Omni-channel retailing recognizes that sources of transaction data that provide purchase insights are available from

Accepted Answer

A) brick-and-mortar. 
B) e-commerce. 
C) mobile. 
D) in-store pickup. 
E) Omni-channel retailing could include transaction data from all of the above. 
A) brick-and-mortar. 
B) e-commerce. 
C) mobile. 
D) in-store pickup. 
E) Omni-channel retailing could include transaction data from all of the above.

Question 17

The variety dimension of Big Data refers to

Accepted Answer

A) the amount of data being collected. 
B) the pace of data flow,both in and out of a firm. 
C) the different storage device capacities available for storing Big Data. 
D) the diversity of types or forms of data. 
E) the variety of businesses that utilize Big Data. 
A) the amount of data being collected. 
B) the pace of data flow,both in and out of a firm. 
C) the different storage device capacities available for storing Big Data. 
D) the diversity of types or forms of data. 
E) the variety of businesses that utilize Big Data.

Question 18

Which of the following is NOT considered a descriptive analysis technique?

Accepted Answer

A) Data harmonization 
B) Data mining 
C) Data fusion 
D) Neural networks 
E) Visualization 
A) Data harmonization 
B) Data mining 
C) Data fusion 
D) Neural networks 
E) Visualization

Question 19

Define Big Data and describe the framework for understanding its key elements,the four "Vs",explaining what each of the "Vs" represents.

Accepted Answer

Big Data is the process of capturing,mer

Question 20

Businesses like banks and airlines have more data than firms in other industries due to the _______ nature of their businesses.

Accepted Answer

A) seasonal 
B) consumer 
C) stagnant 
D) transactional 
E) services 
A) seasonal 
B) consumer 
C) stagnant 
D) transactional 
E) services

Predictive analysis focuses on future-oriented,potential behaviors as opposed to merely classifying past behaviors.

_________ analysis tries to uncover explanatory and predictive models of business performance based on the relationship between data inputs and business outcomes.

Applications of Big Data in the real world might include which of the following?

The analysis technique that involves seeing how a dependent variable might change when one or more independent variables changes,such as to see if a customer can be cross-sold or up-sold at the point of purchase is known as

The analysis that Major League Baseball uses to create its schedule each year,to optimize stadium commitments,travel,hotel,sponsorships,and other factors is an example of

Taking multiple,random samples from an existing data set and running thousands of "what if" analyses,each with different assumptions about market conditions and other marketplace dynamics,is an example of which of the following?

Apple uses data in one context that is linked to data in another context,and another and another,to get a 360-degree view of customer purchasing.This is an example of omni-transactional data.

Big Data is the process of ____________ large and varied data sets.

The descriptive analysis technique whose goal is to integrate and analyze data from various sources as opposed to relying on only a single source is known as

What statement best describes what prescriptive analysis is used for?

Recognizing patterns,such as identifying fraudulent insurance claims made by otherwise consistent policyholders,is an example of which kind of descriptive analysis technique?

The most challenging of the four dimensions of Big Data is considered to be

Voice of the Customer (VOC)data are largely structured social media posts.

The veracity dimension of Big Data is considered the most challenging of all.

Data mining is a descriptive analysis technique used for finding nonlinear patterns in the data.

Omni-channel retailing recognizes that sources of transaction data that provide purchase insights are available from

The variety dimension of Big Data refers to

Which of the following is NOT considered a descriptive analysis technique?

Define Big Data and describe the framework for understanding its key elements,the four "Vs",explaining what each of the "Vs" represents.

Businesses like banks and airlines have more data than firms in other industries due to the _______ nature of their businesses.

The Role of Marketing Research

The Research Process and Ethical Concerns

Problem Formulation

Exploratory Research

Decision Support Systems: Introduction

Using External Secondary Data

Conducting Causal Research

Collecting Descriptive Primary Data

Collecting Data by Observation

Collecting Data by Communication

Asking Good Questions

Designing the Data Collection Form for Communication Data

Developing the Sampling Plan

Data Collection: Types of Error and Response Rate Calculation

Data Preparation for Analysis

Analysis and Interpretation: Individual Variables Independently

Analysis and Interpretation: Multiple Variables Simultaneously

The Oral Research Presentation

The Written Research Report

Filters

Exam 6: Decision Support Systems: Working With Big Data

Predictive analysis focuses on future-oriented,potential behaviors as opposed to merely classifying past behaviors.

_________ analysis tries to uncover explanatory and predictive models of business performance based on the relationship between data inputs and business outcomes.

Applications of Big Data in the real world might include which of the following?

The analysis technique that involves seeing how a dependent variable might change when one or more independent variables changes,such as to see if a customer can be cross-sold or up-sold at the point of purchase is known as

The analysis that Major League Baseball uses to create its schedule each year,to optimize stadium commitments,travel,hotel,sponsorships,and other factors is an example of

Taking multiple,random samples from an existing data set and running thousands of "what if" analyses,each with different assumptions about market conditions and other marketplace dynamics,is an example of which of the following?

Apple uses data in one context that is linked to data in another context,and another and another,to get a 360-degree view of customer purchasing.This is an example of omni-transactional data.

Big Data is the process of ____________ large and varied data sets.

The descriptive analysis technique whose goal is to integrate and analyze data from various sources as opposed to relying on only a single source is known as

What statement best describes what prescriptive analysis is used for?

Recognizing patterns,such as identifying fraudulent insurance claims made by otherwise consistent policyholders,is an example of which kind of descriptive analysis technique?

The most challenging of the four dimensions of Big Data is considered to be

Voice of the Customer (VOC)data are largely structured social media posts.

The veracity dimension of Big Data is considered the most challenging of all.

Data mining is a descriptive analysis technique used for finding nonlinear patterns in the data.

Omni-channel retailing recognizes that sources of transaction data that provide purchase insights are available from

The variety dimension of Big Data refers to

Which of the following is NOT considered a descriptive analysis technique?

Define Big Data and describe the framework for understanding its key elements,the four "Vs",explaining what each of the "Vs" represents.

Businesses like banks and airlines have more data than firms in other industries due to the _______ nature of their businesses.

The Role of Marketing Research

The Research Process and Ethical Concerns

Problem Formulation

Exploratory Research

Decision Support Systems: Introduction

Using External Secondary Data

Conducting Causal Research

Collecting Descriptive Primary Data

Collecting Data by Observation

Collecting Data by Communication

Asking Good Questions

Designing the Data Collection Form for Communication Data

Developing the Sampling Plan

Data Collection: Types of Error and Response Rate Calculation

Data Preparation for Analysis

Analysis and Interpretation: Individual Variables Independently

Analysis and Interpretation: Multiple Variables Simultaneously

The Oral Research Presentation

The Written Research Report

Filters