Question 1

________ measures the impact of a set of variables on another variable.

Accepted Answer

A)  Cluster analysis 
B)  Neural networking 
C)  Granularity 
D)  Regression analysis 
A)  Cluster analysis 
B)  Neural networking 
C)  Granularity 
D)  Regression analysis

Question 2

The advantage that ________ have over the other systems is that these foster innovation,improve customer service,increase organizational responsiveness,and reduce costs.

Accepted Answer

A)  reporting systems 
B)  expert systems 
C)  data mining systems 
D)  knowledge management systems 
A)  reporting systems 
B)  expert systems 
C)  data mining systems 
D)  knowledge management systems

Question 3

Cluster analysis and neural networks are examples of supervised data mining techniques.

Accepted Answer

A) True 
 B)False

Question 4

What is data mining?

Accepted Answer

Data mining is the application of statis

Question 5

Cluster analysis measures the impact of one set of variables on another variable.

Accepted Answer

A) True 
 B)False

Question 6

What is unsupervised data mining?

Accepted Answer

Unsupervised data mining is where analys

Question 7

Explain supervised data-mining and list the techniques used in it.

Accepted Answer

With supervised data mining,data miners

Question 8

Regression analysis is used in ________.

Accepted Answer

A)  expert systems 
B)  knowledge management systems 
C)  data-mining systems 
D)  reporting systems 
A)  expert systems 
B)  knowledge management systems 
C)  data-mining systems 
D)  reporting systems

Question 9

In ________,statistical techniques identify groups of entities that have similar characteristics.

Accepted Answer

A)  cluster analysis 
B)  neural networks 
C)  regression analysis 
D)  curve fitting 
A)  cluster analysis 
B)  neural networks 
C)  regression analysis 
D)  curve fitting

Question 10

Explain clickstream data.

Accepted Answer

Clickstream data is that data which is c

Question 11

Clickstream data is ________.

Accepted Answer

A)  inconsistent 
B)  too coarse 
C)  too fine 
D)  dirty data 
A)  inconsistent 
B)  too coarse 
C)  too fine 
D)  dirty data

Question 12

One kilobyte consists of 1,000 bytes.

Accepted Answer

A) True 
 B)False

Question 13

________ refer(s)to the degree of summarization or detail.

Accepted Answer

A)  Data abstraction 
B)  Data granularity 
C)  Gross data 
D)  Data aggregation 
A)  Data abstraction 
B)  Data granularity 
C)  Gross data 
D)  Data aggregation

Question 14

Describe the characteristics and advantages of reporting systems.

Accepted Answer

Reporting systems integrate data from mu

Question 15

Data marts are data collections that address a particular business problem or opportunity.

Accepted Answer

A) True 
 B)False

Question 16

One ________ is equal to 10³ bytes.

Accepted Answer

A)  petabyte 
B)  gigabyte 
C)  megabyte 
D)  kilobyte 
A)  petabyte 
B)  gigabyte 
C)  megabyte 
D)  kilobyte

Question 17

What is data granularity?

Accepted Answer

Data can be too fine or too coarse.Data

Question 18

WhyMe@GuessWhoIAM.org is an example of ________.

Accepted Answer

A)  dirty data 
B)  coarse data 
C)  inconsistent data 
D)  fine data 
A)  dirty data 
B)  coarse data 
C)  inconsistent data 
D)  fine data

Question 19

What is a business intelligence system?

Accepted Answer

A business intelligence (BI)system is an

Question 20

The purpose of a ________ is to extract and clean data from operational systems and other sources,and to store and catalog that data for processing by BI tools.

Accepted Answer

A)  data harvester 
B)  data center 
C)  data aggregator 
D)  data warehouse 
A)  data harvester 
B)  data center 
C)  data aggregator 
D)  data warehouse

Exam 9: Business Intelligence and Information Systems for Decision Making

________ measures the impact of a set of variables on another variable.

The advantage that ________ have over the other systems is that these foster innovation,improve customer service,increase organizational responsiveness,and reduce costs.

Cluster analysis and neural networks are examples of supervised data mining techniques.

What is data mining?

Cluster analysis measures the impact of one set of variables on another variable.

What is unsupervised data mining?

Explain supervised data-mining and list the techniques used in it.

Regression analysis is used in ________.

In ________,statistical techniques identify groups of entities that have similar characteristics.

Explain clickstream data.

Clickstream data is ________.

One kilobyte consists of 1,000 bytes.

________ refer(s)to the degree of summarization or detail.

Describe the characteristics and advantages of reporting systems.

Data marts are data collections that address a particular business problem or opportunity.

One ________ is equal to 10³ bytes.

What is data granularity?

WhyMe@GuessWhoIAM.org is an example of ________.

What is a business intelligence system?

The purpose of a ________ is to extract and clean data from operational systems and other sources,and to store and catalog that data for processing by BI tools.

The Importance of MIS

Business Processes, Information, and Information Systems

Organizational Strategy, Information Systems, and Competitive Advantage

Hardware and Software

Database Processing

Data Communications

Business Process Management

E-Commerce, Web 2.0, and Social Networking

Information Systems Development

Information Systems Management

Information Security Management

Improving Your Collaboration Skills

Using Collaboration Information Systems

Information Systems and Decision Making

Knowledge Management and Expert Systems

Introduction to Microsoft Excel

Preparing a Computer Budget Using Excel

Database Design

Using Microsoft Access 2010

Using Excel and Access Together

Remote, Nomadic, and Mobile Systems

Functional Processes, Applications, and Systems

Enterprise Resource Planning (ERP)Systems

Supply Chain Management

Processing Social Capital: Facebook, Twitter, and User-Generated Content (UGC)

Database Marketing

Reporting Systems and OLAP

Geographic Information Systems

Business Process Management

Systems Development Project Management

Outsourcing

International MIS

Filters