Question 1

Which of the following does NOT represent the purpose of Big Data or what it is all about?

Accepted Answer

A) Understanding current business practices better 
B) Generating more data inputs 
C) Seeking new opportunities to enhance future performance 
D) Establishing the processes to yield insightful outcomes 
E) All of these are consistent with the value of Big Data. 
A) Understanding current business practices better 
B) Generating more data inputs 
C) Seeking new opportunities to enhance future performance 
D) Establishing the processes to yield insightful outcomes 
E) All of these are consistent with the value of Big Data.

Question 2

A wealth of barcode transaction data is collected by merchants when customers make purchases. Which one of the following scenarios does NOT represent one of the typical Big Data integration challenges in using these transactional data?

Accepted Answer

A) Getting merchandising ideas by doing a market basket analysis 
B) Linking the transaction data to a decision support system for ease of in-store price changes 
C) Creating personalized promotions using the store's loyalty program 
D) Combining barcode transaction data with customer Facebook status updates about service quality 
E) All of these represent typical Big Data integration challenges 
A) Getting merchandising ideas by doing a market basket analysis 
B) Linking the transaction data to a decision support system for ease of in-store price changes 
C) Creating personalized promotions using the store's loyalty program 
D) Combining barcode transaction data with customer Facebook status updates about service quality 
E) All of these represent typical Big Data integration challenges

Question 3

A key challenge of Big Data is integration.Which of the following is NOT one of the areas in which companies are challenged with Big Data integration?

Accepted Answer

A) Integration of a firm's internal transaction data 
B) Access to data 
C) Analytic skills 
D) Retrieval of data 
E) Integration of data within and between firms 
A) Integration of a firm's internal transaction data 
B) Access to data 
C) Analytic skills 
D) Retrieval of data 
E) Integration of data within and between firms

Question 4

The analysis that discovers interesting relationships between items purchased on a single ticket (e.g.in the same shopping cart)of consumers is

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 5

A key term in prescriptive analysis is

Accepted Answer

A) randomization. 
B) differentiation. 
C) optimization. 
D) experimentation. 
E) amortization. 
A) randomization. 
B) differentiation. 
C) optimization. 
D) experimentation. 
E) amortization.

Question 6

The analysis technique to consider when searching for nonlinear patterns in data is

Accepted Answer

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

Question 7

Even if all data integration issues are addressed,the problem that remains for most companies when it comes to integrated data is

Accepted Answer

A) finding ways to store it all. 
B) backing up the data properly. 
C) controlling access to the data. 
D) finding the hidden insights within the data. 
E) auditing the data regularly. 
A) finding ways to store it all. 
B) backing up the data properly. 
C) controlling access to the data. 
D) finding the hidden insights within the data. 
E) auditing the data regularly.

Question 8

Barcode transaction data captured at a grocer's cash register is an example of unstructured data.

Accepted Answer

A) True 
 B)False

Question 9

It is generally accepted that Big Data is four-dimensional.

Accepted Answer

A) True 
 B)False

Question 10

A major restaurant chain wishes to understand consumer sentiment about its brand,so it analyzes social media comments,receipt survey data,call center conversation summaries from its CRM system,and even reviews from websites like Urban Spoon.This illustrates which dimension of Big Data?

Accepted Answer

A) Volume 
B) Veracity 
C) Velocity 
D) Variety 
E) Value 
A) Volume 
B) Veracity 
C) Velocity 
D) Variety 
E) Value

Question 11

Data such as blogger reviews or social media comments is known as _____ data.

Accepted Answer

A) structured 
B) random 
C) collected 
D) unstructured 
E) big 
A) structured 
B) random 
C) collected 
D) unstructured 
E) big

Question 12

Analytical techniques,when applied to large sets of data,can

Accepted Answer

A) describe consumer behavior. 
B) predict future consumption actions. 
C) prescribe courses of action for a firm and its management. 
D) All of these are correct. 
E) None of these are correct. 
A) describe consumer behavior. 
B) predict future consumption actions. 
C) prescribe courses of action for a firm and its management. 
D) All of these are correct. 
E) None of these are correct.

Question 13

Which of the following best describes what prescriptive analysis is?

Accepted Answer

A) To recommend the best course of action among the firm's various options. 
B) To predict a future outcome with some degree of confidence. 
C) To understand the current context. 
D) None of these are correct. 
E) All of these are correct descriptions of descriptive analysis. 
A) To recommend the best course of action among the firm's various options. 
B) To predict a future outcome with some degree of confidence. 
C) To understand the current context. 
D) None of these are correct. 
E) All of these are correct descriptions of descriptive analysis.

Question 14

The velocity 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 consistency of the data collection process. 
D) the diversity of types or forms of data. 
E) the speed at which data is transmitted through the company network. 
A) the amount of data being collected. 
B) the pace of data flow,both in and out of a firm. 
C) the consistency of the data collection process. 
D) the diversity of types or forms of data. 
E) the speed at which data is transmitted through the company network.

Question 15

Firms investing in the capture,storage,and analysis of large and varied data sets are forward-looking and cutting edge.

Accepted Answer

A) True 
 B)False

Which of the following does NOT represent the purpose of Big Data or what it is all about?

A wealth of barcode transaction data is collected by merchants when customers make purchases. Which one of the following scenarios does NOT represent one of the typical Big Data integration challenges in using these transactional data?

A key challenge of Big Data is integration.Which of the following is NOT one of the areas in which companies are challenged with Big Data integration?

The analysis that discovers interesting relationships between items purchased on a single ticket (e.g.in the same shopping cart)of consumers is

A key term in prescriptive analysis is

The analysis technique to consider when searching for nonlinear patterns in data is

Even if all data integration issues are addressed,the problem that remains for most companies when it comes to integrated data is

Barcode transaction data captured at a grocer's cash register is an example of unstructured data.

It is generally accepted that Big Data is four-dimensional.

A major restaurant chain wishes to understand consumer sentiment about its brand,so it analyzes social media comments,receipt survey data,call center conversation summaries from its CRM system,and even reviews from websites like Urban Spoon.This illustrates which dimension of Big Data?

Data such as blogger reviews or social media comments is known as _____ data.

Analytical techniques,when applied to large sets of data,can

Which of the following best describes what prescriptive analysis is?

The velocity dimension of Big Data refers to

Firms investing in the capture,storage,and analysis of large and varied data sets are forward-looking and cutting edge.

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

Which of the following does NOT represent the purpose of Big Data or what it is all about?

A wealth of barcode transaction data is collected by merchants when customers make purchases. Which one of the following scenarios does NOT represent one of the typical Big Data integration challenges in using these transactional data?

A key challenge of Big Data is integration.Which of the following is NOT one of the areas in which companies are challenged with Big Data integration?

The analysis that discovers interesting relationships between items purchased on a single ticket (e.g.in the same shopping cart)of consumers is

A key term in prescriptive analysis is

The analysis technique to consider when searching for nonlinear patterns in data is

Even if all data integration issues are addressed,the problem that remains for most companies when it comes to integrated data is

Barcode transaction data captured at a grocer's cash register is an example of unstructured data.

It is generally accepted that Big Data is four-dimensional.

A major restaurant chain wishes to understand consumer sentiment about its brand,so it analyzes social media comments,receipt survey data,call center conversation summaries from its CRM system,and even reviews from websites like Urban Spoon.This illustrates which dimension of Big Data?

Data such as blogger reviews or social media comments is known as _____ data.

Analytical techniques,when applied to large sets of data,can

Which of the following best describes what prescriptive analysis is?

The velocity dimension of Big Data refers to

Firms investing in the capture,storage,and analysis of large and varied data sets are forward-looking and cutting edge.

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