chapter 11 business intelligence copyright © 2013 pearson education, inc. publishing as prentice...

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Chapter 11 Business Intelligence Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall 11-1

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Page 1: Chapter 11 Business Intelligence Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall 11-1

Chapter 11

Business Intelligence

Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall 11-1

Page 2: Chapter 11 Business Intelligence Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall 11-1

Why Do Organizations Need Business Intelligence (BI)?

• Business Intelligence System– An information system that supports business

processes by consolidating and analyzing data in a large database to help users create information

– Business analytics– Analytics

Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall 11-2

Page 3: Chapter 11 Business Intelligence Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall 11-1

Why Do Organizations Need Business Intelligence (BI)?

• Business Intelligence System

Figure 11-1Examples of BI

Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall 11-3

Page 4: Chapter 11 Business Intelligence Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall 11-1

How Does BI Support the Informing Process?

• The Informing Process

Figure 11-3 Main Activities and Rolesin the Informing Process

Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall 11-4

Page 5: Chapter 11 Business Intelligence Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall 11-1

How Does BI Support the Informing Process?

• The Informing Process– Informing process in the Sales process• Operational and Dynamic processes

– Standardizing the informing process– Versions of the informing process• Reporting and Data Mining

Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall 11-5

Page 6: Chapter 11 Business Intelligence Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall 11-1

How Does BI Support the Informing Process?

• The Informing Process

Figure 11-7 Two Types of Informing Processes:Reporting and Data Mining

Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall 11-6

Page 7: Chapter 11 Business Intelligence Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall 11-1

How Does BI Support the Informing Process?

• The Informing Process– A process in which an actor, typically a person,

seeks to become informed– Integrated with other processes– Provides insight to users and improves the quality

of their information

Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall 11-7

Page 8: Chapter 11 Business Intelligence Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall 11-1

What Are Examples of the Reporting Process?

• The Reporting Process– Noninteractive– Interactive– Five basic operations• Sorting; Grouping; Calculating; Filtering; and

Formatting

Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall 11-8

Page 9: Chapter 11 Business Intelligence Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall 11-1

What Are Examples of the Reporting Process?

• The Reporting Process– Noninteractive• Use a predetermined structure for output• RFM analysis (recently, frequency, money)

Figure 11-13Example of RFM Data

Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall 11-9

Page 10: Chapter 11 Business Intelligence Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall 11-1

What Are Examples of the Reporting Process?

• The Reporting Process– Interactive• Users allowed to change both the analysis and

structure of the report• OLAP –online analytical processing–OLAP measure; OLAP dimension; OLAP cube

Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall 11-10

Page 11: Chapter 11 Business Intelligence Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall 11-1

What Are Examples of the Reporting Process?

• The Reporting Process– Noninteractive v. Interactive

Figure 11-14Main Activities inNoninteractive andInteractive ReportingProcess

Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall 11-11

Page 12: Chapter 11 Business Intelligence Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall 11-1

What Are Examples of the Data Mining Process?

• The Data Mining Process

– Cluster Analysis– Regression Analysis – Market Basket Analysis– Decision Trees– Supervised and Unsupervised Data Analysis

Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall 11-12

Page 13: Chapter 11 Business Intelligence Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall 11-1

8/22/2011 Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall 13

13

Evaluating Backup Approaches for a Data Center(Using Satisficing oriented decision theory)

Feasibility Study Interviewing for Requirements

Decision approaches using Non-Optimization Methods

Page 14: Chapter 11 Business Intelligence Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall 11-1

What Are Examples of the Data Mining Process?

• The Data Mining Process– Cluster Analysis• Identify groups of entities with similar

characteristics– Regression Analysis • The impact of a set of variables on another

variable

Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall 11-14

Page 15: Chapter 11 Business Intelligence Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall 11-1

What Are Examples of the Data Mining Process?

• The Data Mining Process– Market Basket Analysis (MBA)• Determines sales patterns

– Decision Trees• Hierarchical arrangement of criteria that predict

a classification or a value– Supervised and Unsupervised Data Analysis• Models and hypothesis

Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall 11-15

Page 16: Chapter 11 Business Intelligence Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall 11-1

What Are Examples of the Data Mining Process?

• The Data Mining Process– Decision Trees

Figure 11-20 Grades ofStudents from Past MISClass

Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall 11-16

Page 17: Chapter 11 Business Intelligence Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall 11-1

What Are Examples of the Data Mining Process?

• The Data Mining Process– Advanced statistical analysis to find patterns and

relationships among data for classification and prediction

Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall 11-17

Page 18: Chapter 11 Business Intelligence Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall 11-1

What Are the Components of a BI System?

• Components of a BI System– Hardware– Software – BI Data– Procedures– People

Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall 11-18

Page 19: Chapter 11 Business Intelligence Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall 11-1

What Are the Components of a BI System?

• Components of a BI System– Decision Support System (DSS)

– Hardware• BI Server

– Software

Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall 11-19

Page 20: Chapter 11 Business Intelligence Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall 11-1

What Are the Components of a BI System?

• Components of a BI System– BI Data• Operational databases and data warehouses

–Procedures–People• End users and analysts

Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall 11-20

Page 21: Chapter 11 Business Intelligence Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall 11-1

What Are the Components of a BI System?

• Components of a BI System– Hardware– Software – BI Data– Procedures– People

Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall 11-21

Page 22: Chapter 11 Business Intelligence Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall 11-1

What Are the Potential Problems with BI Systems?

• Potential Problems with BI Systems

– Data Problems– People Problems

Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall 11-22

Page 23: Chapter 11 Business Intelligence Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall 11-1

What Are the Potential Problems with BI Systems?

• Potential Problems with BI Systems– Data Problems

Figure 11-22 CommonData Problems in BI

Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall 11-23

Page 24: Chapter 11 Business Intelligence Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall 11-1

What Are the Potential Problems with BI Systems?

• Potential Problems with BI Systems– People Problems

Figure 11-23 BI People Problems:User, Analysts, and Leaders

Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall 11-24

Page 25: Chapter 11 Business Intelligence Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall 11-1

What Future Technological Advances will Affect BI Use?

• Technology– Visualization and Augmented Reality– Mobile devices, RFID tags, and Web 2.0

• Technology Backlash– Privacy

Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall 11-25

Page 26: Chapter 11 Business Intelligence Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall 11-1

What Future Technological Advances will Affect BI Use?

• Technology– Visualization • Creation of images or diagrams that

communicate a message– Augmented Reality• Live or indirect view of the real world

augmented by computer-based data

Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall 11-26

Page 27: Chapter 11 Business Intelligence Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall 11-1

What Future Technological Advances will Affect BI Use?

• Technology– Mobile devices– RFID tags– Web 2.0

Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall 11-27

Page 28: Chapter 11 Business Intelligence Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall 11-1

What Future Technological Advances will Affect BI Use?

• Technology Backlash– Privacy– Personal Data Privacy and Security Act

Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall 11-28

Page 29: Chapter 11 Business Intelligence Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall 11-1

Who Are the Key BI Vendors and How Does SAP Accomplish BI?

Figure 11-24Major BI Vendors

Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall 11-29

Page 30: Chapter 11 Business Intelligence Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall 11-1

Who Are the Key BI Vendors and How Does SAP Accomplish BI?

Figure 11-26SAP Business ObjectsReport Example

Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall 11-30

Page 31: Chapter 11 Business Intelligence Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall 11-1

Ethics Guide

• The Ethics of Profiling Customers

Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall 11-31

Page 32: Chapter 11 Business Intelligence Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall 11-1

Conclusion

Q1. Why do organizations need business intelligence (BI)?Q2. How does BI support the Informing process?Q3. What are examples of the Reporting process?Q4. What are examples of the Data Mining process?

Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall 11-32

Page 33: Chapter 11 Business Intelligence Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall 11-1

Conclusion

Q5. What are the components of a BI system?Q6. What are the potential problems with BI systems?Q7. What future technological advances will affect BI use?Q8. Who are the key BI vendors and how does SAP accomplish BI?

Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall 11-33

Page 34: Chapter 11 Business Intelligence Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall 11-1

Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall 11-34