Question 1

The analysis that focuses on future-oriented,potential behaviors as opposed to classifying past behaviors is known as

Accepted Answer

A) future analysis. 
B) predictive analysis. 
C) descriptive analysis. 
D) presumptive analysis. 
E) speculative analysis. 
A) future analysis. 
B) predictive analysis. 
C) descriptive analysis. 
D) presumptive analysis. 
E) speculative analysis.

Question 2

Social network analysis studies social connections where the leader in a network is a hub and the multiple followers are nodes on the spokes.

Accepted Answer

A) True 
 B)False

Question 3

A Big Data application of using location-based mobile data from call records is

Accepted Answer

A) voice-of-the-customer insights. 
B) a 360-degree view of purchasing patterns. 
C) location-based marketing in real time. 
D) optimized website design. 
E) All of these are enabled by location-based mobile data. 
A) voice-of-the-customer insights. 
B) a 360-degree view of purchasing patterns. 
C) location-based marketing in real time. 
D) optimized website design. 
E) All of these are enabled by location-based mobile data.

Question 4

One way of understanding structured data is as filling rows of data on a spreadsheet.

Accepted Answer

A) True 
 B)False

Question 5

A study of hundreds of C-level executives reveals that a fifth dimension of Big Data may be

Accepted Answer

A) visibility. 
B) variability. 
C) value. 
D) vision. 
E) vigor. 
A) visibility. 
B) variability. 
C) value. 
D) vision. 
E) vigor.

Question 6

The sources of Big Data are not highly variable.

Accepted Answer

A) True 
 B)False

Question 7

A great source of "Voice of the Customer" (VOC)data is

Accepted Answer

A) structured. 
B) mobile. 
C) omni-transactional. 
D) unstructured. 
E) social. 
A) structured. 
B) mobile. 
C) omni-transactional. 
D) unstructured. 
E) social.

Question 8

The volume 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 capacity of the storage units on which data is stored. 
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 capacity of the storage units on which data is stored.

Question 9

IBM's Slamtracker,which analyzes years of Grand Slam tennis data to compare historic head-to-head statistics of competitors to predict keys to winning a match,is an example of which kind of analysis?

Accepted Answer

A) Descriptive 
B) Competitive 
C) Prescriptive 
D) Historical 
E) Predictive 
A) Descriptive 
B) Competitive 
C) Prescriptive 
D) Historical 
E) Predictive

Question 10

Creating charts,graphs,images,diagrams.and even word clouds that allow for better communication of data is an example of

Accepted Answer

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

Question 11

The value of linking data from several contexts (e.g.,omni-channel transactional data)is that it can provide

Accepted Answer

A) big data sets for analysis. 
B) a complete view of in-store purchasing behavior. 
C) a complete view of online purchasing behavior. 
D) location mapping data. 
E) a 360-degree view of purchasing patterns. 
A) big data sets for analysis. 
B) a complete view of in-store purchasing behavior. 
C) a complete view of online purchasing behavior. 
D) location mapping data. 
E) a 360-degree view of purchasing patterns.

Question 12

Starbucks creating over 800 "geofences" in the UK to send geotargeted text messages to customers is an example of using location-based services of mobile data.

Accepted Answer

A) True 
 B)False

Question 13

Discovering data-based trends by analyzing sequences of data over successive times to not only recognize the data pattern but forecast how the data will extend into the future is the goal of

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 14

The auto insurance company that uses an app to monitor your driving behavior,collecting thousands of data points in the process,as part of providing you a policy quote that 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 15

Which of the following represent valid sources of Big Data?

Accepted Answer

A) Survey responses 
B) Transactions details 
C) Social media references 
D) Location data 
E) All of these are valid types of data. 
A) Survey responses 
B) Transactions details 
C) Social media references 
D) Location data 
E) All of these are valid types of data.

Question 16

Combining real-time sales data with real-time social media mentions in order to better understand consumer sentiment toward an advertising campaign is an example of which data analysis technique?

Accepted Answer

A) Neural networks 
B) Affinity 
C) Data mining 
D) Data fusion 
E) Harmonization 
A) Neural networks 
B) Affinity 
C) Data mining 
D) Data fusion 
E) Harmonization

Question 17

Data such as transactional data collected by banks,airlines,and retailers 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 18

Which of the following is NOT one of the four dimensions of the framework for understanding Big Data?

Accepted Answer

A) Volume 
B) Vastness 
C) Velocity 
D) Variety 
E) All of these are dimensions of the framework. 
A) Volume 
B) Vastness 
C) Velocity 
D) Variety 
E) All of these are dimensions of the framework.

Question 19

Which of the following statements best represents the analytics skills problem of Big Data integration?

Accepted Answer

A) Big Data analytics is a discipline too new to provide meaningful employment opportunities. 
B) Most companies have not yet accumulated enough data to have a need for Big Data analytics. 
C) There is too much data and companies lack the right skills to manage data effectively. 
D) The level of skill required for Big Data analytics is too low to attract quality job candidates into the profession. 
E) There is no analytics skills problem associated with Big Data. 
A) Big Data analytics is a discipline too new to provide meaningful employment opportunities. 
B) Most companies have not yet accumulated enough data to have a need for Big Data analytics. 
C) There is too much data and companies lack the right skills to manage data effectively. 
D) The level of skill required for Big Data analytics is too low to attract quality job candidates into the profession. 
E) There is no analytics skills problem associated with Big Data.

Question 20

One of the key challenges of Big Data integration is the ability to merge unstructured and structured data.

Accepted Answer

A) True 
 B)False

The analysis that focuses on future-oriented,potential behaviors as opposed to classifying past behaviors is known as

Social network analysis studies social connections where the leader in a network is a hub and the multiple followers are nodes on the spokes.

A Big Data application of using location-based mobile data from call records is

One way of understanding structured data is as filling rows of data on a spreadsheet.

A study of hundreds of C-level executives reveals that a fifth dimension of Big Data may be

The sources of Big Data are not highly variable.

A great source of "Voice of the Customer" (VOC)data is

The volume dimension of Big Data refers to

IBM's Slamtracker,which analyzes years of Grand Slam tennis data to compare historic head-to-head statistics of competitors to predict keys to winning a match,is an example of which kind of analysis?

Creating charts,graphs,images,diagrams.and even word clouds that allow for better communication of data is an example of

The value of linking data from several contexts (e.g.,omni-channel transactional data)is that it can provide

Starbucks creating over 800 "geofences" in the UK to send geotargeted text messages to customers is an example of using location-based services of mobile data.

Discovering data-based trends by analyzing sequences of data over successive times to not only recognize the data pattern but forecast how the data will extend into the future is the goal of

The auto insurance company that uses an app to monitor your driving behavior,collecting thousands of data points in the process,as part of providing you a policy quote that illustrates which dimension of Big Data?

Which of the following represent valid sources of Big Data?

Combining real-time sales data with real-time social media mentions in order to better understand consumer sentiment toward an advertising campaign is an example of which data analysis technique?

Data such as transactional data collected by banks,airlines,and retailers is known as _______ data.

Which of the following is NOT one of the four dimensions of the framework for understanding Big Data?

Which of the following statements best represents the analytics skills problem of Big Data integration?

One of the key challenges of Big Data integration is the ability to merge unstructured and structured data.

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

The analysis that focuses on future-oriented,potential behaviors as opposed to classifying past behaviors is known as

Social network analysis studies social connections where the leader in a network is a hub and the multiple followers are nodes on the spokes.

A Big Data application of using location-based mobile data from call records is

One way of understanding structured data is as filling rows of data on a spreadsheet.

A study of hundreds of C-level executives reveals that a fifth dimension of Big Data may be

The sources of Big Data are not highly variable.

A great source of "Voice of the Customer" (VOC)data is

The volume dimension of Big Data refers to

IBM's Slamtracker,which analyzes years of Grand Slam tennis data to compare historic head-to-head statistics of competitors to predict keys to winning a match,is an example of which kind of analysis?

Creating charts,graphs,images,diagrams.and even word clouds that allow for better communication of data is an example of

The value of linking data from several contexts (e.g.,omni-channel transactional data)is that it can provide

Starbucks creating over 800 "geofences" in the UK to send geotargeted text messages to customers is an example of using location-based services of mobile data.

Discovering data-based trends by analyzing sequences of data over successive times to not only recognize the data pattern but forecast how the data will extend into the future is the goal of

The auto insurance company that uses an app to monitor your driving behavior,collecting thousands of data points in the process,as part of providing you a policy quote that illustrates which dimension of Big Data?

Which of the following represent valid sources of Big Data?

Combining real-time sales data with real-time social media mentions in order to better understand consumer sentiment toward an advertising campaign is an example of which data analysis technique?

Data such as transactional data collected by banks,airlines,and retailers is known as _______ data.

Which of the following is NOT one of the four dimensions of the framework for understanding Big Data?

Which of the following statements best represents the analytics skills problem of Big Data integration?

One of the key challenges of Big Data integration is the ability to merge unstructured and structured data.

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