Question 1

By sharing knowledge companies can

Accepted Answer

A)  improve the decision making of non-experts. 
B)  mine data better. 
C)  foster innovation. 
D)  have more complete information systems. 
E)  automate decision making. 
A)  improve the decision making of non-experts. 
B)  mine data better. 
C)  foster innovation. 
D)  have more complete information systems. 
E)  automate decision making.

Question 2

In most cases,data-mining systems are used to make

Accepted Answer

A)  assessments. 
B)  predictions. 
C)  solutions. 
D)  decisions. 
E)  relationships. 
A)  assessments. 
B)  predictions. 
C)  solutions. 
D)  decisions. 
E)  relationships.

Question 3

A data-mining system uses statistical analysis to enable fundraisers to predict who will donate to a cause.

Accepted Answer

A) True 
 B)False

Question 4

Systems that focus on making data collected in OLTP to support decision making are often referred to as expert systems.

Accepted Answer

A) True 
 B)False

Question 5

What is meant by supervised and unsupervised data mining? Describe one example of each technique.

Accepted Answer

Data mining is the application of statis

Question 6

What is clickstream data?

Accepted Answer

It is possible to capture the

Question 7

In an OLAP system a measure is (are)

Accepted Answer

A)  a data item of interest. 
B)  a report. 
C)  data items that are summed. 
D)  processed data. 
E)  a characteristic of a dimension. 
A)  a data item of interest. 
B)  a report. 
C)  data items that are summed. 
D)  processed data. 
E)  a characteristic of a dimension.

Question 8

Problematic data are termed

Accepted Answer

A)  problem data. 
B)  irrelevant data. 
C)  incorrect data. 
D)  dirty data. 
E)  untrustworthy data. 
A)  problem data. 
B)  irrelevant data. 
C)  incorrect data. 
D)  dirty data. 
E)  untrustworthy data.

Question 9

Fine data are highly summarized.

Accepted Answer

A) True 
 B)False

Question 10

________ analysis is a data-mining system which computes correlation of items on past orders to determine items that are frequently purchased together.

Accepted Answer

A)  Market-basket 
B)  Marketing 
C)  Value chain 
D)  Data-mining 
E)  Shopping cart 
A)  Market-basket 
B)  Marketing 
C)  Value chain 
D)  Data-mining 
E)  Shopping cart

Question 11

Highly summarized data is known as being

Accepted Answer

A)  coarse. 
B)  fine. 
C)  inconsistent. 
D)  too summarized. 
E)  too comprehensive. 
A)  coarse. 
B)  fine. 
C)  inconsistent. 
D)  too summarized. 
E)  too comprehensive.

Question 12

What are some of the obstacles to developing data-mining applications in the real world? Does this mean that data-mining projects should be avoided?

Accepted Answer

In the real world there are many obstacl

Question 13

The data resource challenge refers to the lack of data to support decision making.

Accepted Answer

A) True 
 B)False

Question 14

Generally it is better to have data that is too fine rather than too coarse.

Accepted Answer

A) True 
 B)False

Question 15

A ________ is a data collection that is created to address the needs of a particular business function,problem,or opportunity.

Accepted Answer

A)  database 
B)  data mart 
C)  data-mine 
D)  data depot 
E)  data warehouse 
A)  database 
B)  data mart 
C)  data-mine 
D)  data depot 
E)  data warehouse

Question 16

It is usually better to have data granularity that is ______________ rather than too coarse.

Accepted Answer

A)  dirty data 
B)  missing values 
C)  inconsistent 
D)  more recent 
E)  too fine 
A)  dirty data 
B)  missing values 
C)  inconsistent 
D)  more recent 
E)  too fine

Question 17

Which of the following systems fosters innovation,improves customer service,and increases organizational responsiveness by sharing knowledge of products,product uses,and best practices?

Accepted Answer

A)  Market-basket Analysis 
B)  Regression Analysis Systems 
C)  Data-mining Systems 
D)  Knowledge Management Systems 
E)  Expert Systems 
A)  Market-basket Analysis 
B)  Regression Analysis Systems 
C)  Data-mining Systems 
D)  Knowledge Management Systems 
E)  Expert Systems

Question 18

________ systems are the backbone of all functional,cross-functional,and inter-organizational systems in an organization.

Accepted Answer

A)  OLAP 
B)  Batch processing 
C)  OLTP 
D)  LDAP 
E)  Real time 
A)  OLAP 
B)  Batch processing 
C)  OLTP 
D)  LDAP 
E)  Real time

Question 19

A data warehouse is a data collection that is created to address the needs of a particular business function,problem,or opportunity.

Accepted Answer

A) True 
 B)False

Question 20

What is online analytic processing?

Accepted Answer

OLAP provides the ability to sum,count,a

By sharing knowledge companies can

In most cases,data-mining systems are used to make

A data-mining system uses statistical analysis to enable fundraisers to predict who will donate to a cause.

Systems that focus on making data collected in OLTP to support decision making are often referred to as expert systems.

What is meant by supervised and unsupervised data mining? Describe one example of each technique.

What is clickstream data?

In an OLAP system a measure is (are)

Problematic data are termed

Fine data are highly summarized.

________ analysis is a data-mining system which computes correlation of items on past orders to determine items that are frequently purchased together.

Highly summarized data is known as being

What are some of the obstacles to developing data-mining applications in the real world? Does this mean that data-mining projects should be avoided?

The data resource challenge refers to the lack of data to support decision making.

Generally it is better to have data that is too fine rather than too coarse.

A ________ is a data collection that is created to address the needs of a particular business function,problem,or opportunity.

It is usually better to have data granularity that is ______________ rather than too coarse.

Which of the following systems fosters innovation,improves customer service,and increases organizational responsiveness by sharing knowledge of products,product uses,and best practices?

________ systems are the backbone of all functional,cross-functional,and inter-organizational systems in an organization.

A data warehouse is a data collection that is created to address the needs of a particular business function,problem,or opportunity.

What is online analytic processing?

Information Systems and You

Business Process Management and Decision Making

Productivity, innovation and Strategy

Hardware and Software

Database and Content Management

Networks and Collaboration

Competitive Advantage and Business Proces

E-Commerce, social Networking and Web 2.0

Acquiring Information Systems Through Projects

Structure, governance and Ethics

Managing Information Security and Privacy

Business Process Modeling: Techniques, Rules, and Applications

Excel Basics: Understanding Spreadsheets, Cells, and Formulas

Database Design and Entity Relationships

Creating and Utilizing Forms, Queries, and Reports in MS Access

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Exam 8: Decision Making and Business Intelligence

By sharing knowledge companies can

In most cases,data-mining systems are used to make

A data-mining system uses statistical analysis to enable fundraisers to predict who will donate to a cause.

Systems that focus on making data collected in OLTP to support decision making are often referred to as expert systems.

What is meant by supervised and unsupervised data mining? Describe one example of each technique.

What is clickstream data?

In an OLAP system a measure is (are)

Problematic data are termed

Fine data are highly summarized.

________ analysis is a data-mining system which computes correlation of items on past orders to determine items that are frequently purchased together.

Highly summarized data is known as being

What are some of the obstacles to developing data-mining applications in the real world? Does this mean that data-mining projects should be avoided?

The data resource challenge refers to the lack of data to support decision making.

Generally it is better to have data that is too fine rather than too coarse.

A ________ is a data collection that is created to address the needs of a particular business function,problem,or opportunity.

It is usually better to have data granularity that is ______________ rather than too coarse.

Which of the following systems fosters innovation,improves customer service,and increases organizational responsiveness by sharing knowledge of products,product uses,and best practices?

________ systems are the backbone of all functional,cross-functional,and inter-organizational systems in an organization.

A data warehouse is a data collection that is created to address the needs of a particular business function,problem,or opportunity.

What is online analytic processing?

Information Systems and You

Business Process Management and Decision Making

Productivity, innovation and Strategy

Hardware and Software

Database and Content Management

Networks and Collaboration

Competitive Advantage and Business Proces

E-Commerce, social Networking and Web 2.0

Acquiring Information Systems Through Projects

Structure, governance and Ethics

Managing Information Security and Privacy

Business Process Modeling: Techniques, Rules, and Applications

Excel Basics: Understanding Spreadsheets, Cells, and Formulas

Database Design and Entity Relationships

Creating and Utilizing Forms, Queries, and Reports in MS Access

Understanding MS Project: Features and Functions

Filters