Question 1

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

Accepted Answer

A)  Volume 
B)  Vastness 
C)  Velocity 
D)  Variety 
E)  All dimensions are equally challenging 
A)  Volume 
B)  Vastness 
C)  Velocity 
D)  Variety 
E)  All dimensions are equally challenging

Question 2

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 3

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 4

A study of hundreds of C-level executives reveals that a fourth 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 5

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 6

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 7

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

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

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 the above. 
E)  None of the above. 
A)  Describe consumer behavior. 
B)  Predict future consumption actions. 
C)  Prescribe courses of action for a firm and its management 
D)  All of the above. 
E)  None of the above.

Question 10

The sources of Big Data are not highly variable.

Accepted Answer

A) True 
 B)False

Question 11

The______________dimension of Big Data is considered the most challenging of all.

Accepted Answer

The answer of The______________dimension of Big Data is considered the...

Question 12

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 13

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

Accepted Answer

A) True 
 B)False

Question 14

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 the above 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 the above are enabled by location-based mobile data.

Question 15

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

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

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:

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?

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

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

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

Which of the following represent valid sources of Big Data?

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

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

The sources of Big Data are not highly variable.

The______________dimension of Big Data is considered the most challenging of all.

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?

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

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

A key term in prescriptive analysis is:

The Role of Marketing Research

The Research Process and Ethical Concerns

Problem Formulation

Exploratory Research

Decision Support Systems

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

Developing the Sampling Plan

Data Collection Enhancing Response Rates While Limiting Errors

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 most challenging of the three dimensions of Big Data is considered to be:

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:

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?

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

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

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

Which of the following represent valid sources of Big Data?

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

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

The sources of Big Data are not highly variable.

The______________dimension of Big Data is considered the most challenging of all.

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?

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

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

A key term in prescriptive analysis is:

The Role of Marketing Research

The Research Process and Ethical Concerns

Problem Formulation

Exploratory Research

Decision Support Systems

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

Developing the Sampling Plan

Data Collection Enhancing Response Rates While Limiting Errors

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