Question 1

Databases and data warehouse technologies are an important part of business analytics.

Accepted Answer

A) True 
 B)False

Question 2

Big Data demands that data scientists and managers implement new techniques and, above all, a new way of thinking. Specifically, Big Data requires that:

Accepted Answer

A)  Managers think more anecdotally than probabilistically. 
B)  Managers learn to focus more on the signals than on the noise. 
C)  Managers apply business analytics more at the operational level than at the strategic level. 
D)  All of the above are required in the Big Data paradigm. 
A)  Managers think more anecdotally than probabilistically. 
B)  Managers learn to focus more on the signals than on the noise. 
C)  Managers apply business analytics more at the operational level than at the strategic level. 
D)  All of the above are required in the Big Data paradigm.

Question 3

Assume that you are a regular customer of a restaurant. Which of the following best describes the information management component of business analytics used by the restaurant to make you a more valuable customer?

Accepted Answer

A)  Storing information about you and loading it into data warehouses 
B)  Investigating correlations, sampling customer data, and summarizing data 
C)  Determining the menu item that you will most likely order on your next visit 
D)  Offering coupons or discounts to maximize sales or profits 
A)  Storing information about you and loading it into data warehouses 
B)  Investigating correlations, sampling customer data, and summarizing data 
C)  Determining the menu item that you will most likely order on your next visit 
D)  Offering coupons or discounts to maximize sales or profits

Question 4

Which of the following fields of business analytics can be used to effectively store and efficiently retrieve information?

Accepted Answer

A)  Databases and data warehouses 
B)  Descriptive analytics 
C)  Predictive analytics 
D)  Prescriptive analytics 
A)  Databases and data warehouses 
B)  Descriptive analytics 
C)  Predictive analytics 
D)  Prescriptive analytics

Question 5

Which of the following fields of business analytics aims to summarize a sample instead of using data to learn about the population that the sample of data is thought to represent?

Accepted Answer

A)  Databases and data warehouses 
B)  Descriptive analytics 
C)  Predictive analytics 
D)  Prescriptive analytics 
A)  Databases and data warehouses 
B)  Descriptive analytics 
C)  Predictive analytics 
D)  Prescriptive analytics

Question 6

Spreadsheet modeling offers a high degree of data integrity and, as such, is an excellent tool for prescriptive analytics.

Accepted Answer

A) True 
 B)False

Question 7

Histograms are a common tool used in predictive analytics.

Accepted Answer

A) True 
 B)False

Question 8

Big Data models can sometimes lead to bad business results, conclusions, and recommendations due to inaccurate information.

Accepted Answer

A) True 
 B)False

Databases and data warehouse technologies are an important part of business analytics.

Big Data demands that data scientists and managers implement new techniques and, above all, a new way of thinking. Specifically, Big Data requires that:

Assume that you are a regular customer of a restaurant. Which of the following best describes the information management component of business analytics used by the restaurant to make you a more valuable customer?

Which of the following fields of business analytics can be used to effectively store and efficiently retrieve information?

Which of the following fields of business analytics aims to summarize a sample instead of using data to learn about the population that the sample of data is thought to represent?

Spreadsheet modeling offers a high degree of data integrity and, as such, is an excellent tool for prescriptive analytics.

Histograms are a common tool used in predictive analytics.

Big Data models can sometimes lead to bad business results, conclusions, and recommendations due to inaccurate information.

Introduction to Linear Programming

Business Analytics With Linear Programming

Business Analytics With Nonlinear Programming

Business Analytics With Goal Programming

Business Analytics With Integer Programming

Business Analytics With Shipment Models

Marketing Analytics With Linear Programming

Marketing Analytics With Multiple Goals

Business Analytics With Simulation

Filters

Exam 1: Business Analytics With Management Science

Databases and data warehouse technologies are an important part of business analytics.

Big Data demands that data scientists and managers implement new techniques and, above all, a new way of thinking. Specifically, Big Data requires that:

Assume that you are a regular customer of a restaurant. Which of the following best describes the information management component of business analytics used by the restaurant to make you a more valuable customer?

Which of the following fields of business analytics can be used to effectively store and efficiently retrieve information?

Which of the following fields of business analytics aims to summarize a sample instead of using data to learn about the population that the sample of data is thought to represent?

Spreadsheet modeling offers a high degree of data integrity and, as such, is an excellent tool for prescriptive analytics.

Histograms are a common tool used in predictive analytics.

Big Data models can sometimes lead to bad business results, conclusions, and recommendations due to inaccurate information.

Introduction to Linear Programming

Business Analytics With Linear Programming

Business Analytics With Nonlinear Programming

Business Analytics With Goal Programming

Business Analytics With Integer Programming

Business Analytics With Shipment Models

Marketing Analytics With Linear Programming

Marketing Analytics With Multiple Goals

Business Analytics With Simulation

Filters