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Decision Support and Business Intelligence Systems

Decision Support and Business Intelligence SystemsTitoloDecision Support and Business Intelligence Systems
AutoreTurban, Efraim ; Sharda, Ramesh ; Delen, Dursun
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€ 177,56   Spedizioni gratuite in Italia
(Prezzo € 186,91 Risparmio € 9,35)
CategoriaBusiness & Economics: Decision Making & Problem Solving
Business & Economics: Information Management
RilegaturaHardcover
Dati696 p.; ill.
Anno2010
EditorePrentice Hall
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Descrizione
"Decision Support and Business Intelligence Systems "9e provides the only comprehensive, up-to-date guide to today's revolutionary management support system technologies, and showcases how they can be used for better decision-making.
The 9th edition focuses on Business Intelligence (BI) and analytics for enterprise decision support in a more streamlined book.

Indice e argomenti trattati
Prefacexvi
Part I Decision Support and Business Intelligence
1
Decision Support Systems and Business Intelligence
2
Opening Vignette: Norfolk Southern Uses Business Intelligence for Decision Support to Reach Success
3
Changing Business Environments and Computerized Decision Support
5
Managerial Decision Making
7
Computerized Support for Decision Making
9
An Early Framework for Computerized Decision Support
11
Application Case 1.1 Giant Food Stores Prices the Entire Store
14
The Concept of Decision Support Systems (DSS)
16
Application Case 1.2 A DSS for Managing Inventory at GlaxoSmith Kline
16
A Framework for Business Intelligence (BI)
18
Application Case 1.3 Location, Location, Location
21
Application Case 1.4 Alltel Wireless: Delivering the Right Message, to the Right Customers, at the Right Time
23
A Work System View of Decision Support
25
The Major Tools and Techniques of Managerial Decision Support
26
Application Case 1.5 United Sugars Corporation Optimizes Production, Distribution, and Inventory Capacity with Different Decision Support Tools
27
Plan of the Book
28
Application Case 1.6 The Next Net
30
Resources, Links, and the Teradata University Network Connection
30
Chapter Highlights
31
Key Terms
32
Questions for Discussion
32
Exercises
33
End of Chapter Application Case Vodafone Uses Business Intelligence to Improve Customer Growth and Retention Plans
34
References
35
Part II Computerized Decision Support
37
Decision Making, Systems, Modeling, and Support
38
Opening Vignette: Decision Modeling at HP Using Spreadsheets
39
Decision Making: Introduction and Definitions
41
Models
44
Phases of the Decision-Making Process
45
Decision Making: The Intelligence Phase
48
Application Case 2.1 Making Elevators Go Faster!
48
Decision Making: The Design Phase
50
Technology Insights 2.1 The Difference Between a Criterion and a Constraint
51
Technology Insights 2.2 Are Decision Makers Really Rational?
52
Decision Making: The Choice Phase
58
Decision Making: The Implementation Phase
58
How Decisions Are Supported
59
Technology Insights
2.3
Decision Making in the Digital Age
61
Application Case 2.2 Advanced Technology for Museums: RFID Makes Art Come Alive
63
Resources, Links, and the Teradata University Network Connection
64
Chapter Highlights
65
Key Terms
65
Questions for Discussion
65
Exercises
66
End of Chapter Application Case Decisions and Risk Management (!) That Led to the Subprime Mortgage Crisis
67
References
68
Decision Support Systems Concepts, Methodologies, and Technologies: An Overview
70
Opening Vignette: Decision Support System Cures for Health Care
71
Decision Support System Configurations
74
Decision Support System Description
75
Application Case 3.1 A Spreadsheet-Based DSS Enables Ammunition Requirements Planning for the Canadian Army
76
Decision Support System Characteristics and Capabilities
77
Decision Support System Classifications
79
Application Case 3.2 Expertise Transfer System to Train Future Army Personnel
81
Components of Decision Support Systems
85
The Data Management Subsystem
89
Application Case 3.3 Pacific Sunwear Tracks Business Performance
90
Technology Insights 3.1 The Capabilities of a Relational DBMS in a DSS
92
Technology Insights 3.2 The 10 Essential Ingredients of Data (Information) Quality Management
94
The Model Management Subsystem
96
Application Case 3.4 SNAP DSS Helps OneNet Make Telecommunications Rate Decisions
98
Technology Insights 3.3 Major Functions of an MBMS
100
The User Interface (Dialog) Subsystem
100
Technology Insights 3.4 Next Generation of Input Devices
104
The Knowledge-Based Management Subsystem
105
Application Case 3.5 IAP Systems' Intelligent DSS Determines the Success of Overseas Assignments and Learns from the Experience
106
The Decision Support System User
106
Decision Support System Hardware
107
A DSS Modeling Language: Planners Lab
108
Application Case 3.6 Nonprofits Use Planners Lab as a Decision-Making Tool
109
Resources, Links, and the Teradata University Network Connection
125
Chapter Highlights
126
Key Terms
127
Questions for Discussion
128
Exercises
128
End of Chapter Application Case Spreadsheet Model-Based Decision Support for Inventory Target Setting at Procter & Gamble
132
References
133
Modeling and Analysis
135
Opening Vignette: Model-Based Auctions Serve More Lunches in Chile
136
Management Support Systems Modeling
139
Application Case 4.1 Lockheed Martin Space Systems Company Optimizes Infrastructure Project-Portfolio Selection
140
Application Case 4.2 Forecasting/Predictive Analytics Proves to be a Good Gamble for Harrah's Cherokee Casino and Hotel
142
Structure of Mathematical Models for Decision Support
145
Certainty, Uncertainty, and Risk
147
Management Support Systems Modeling with Spreadsheets
149
Application Case 4.3 Showcase Scheduling at Fred Astaire East Side Dance Studio
150
Mathematical Programming Optimization
152
Application Case 4.4 Spreadsheet Model Helps Assign Medical Residents
152
Technology Insights 4.1 Linear Programming
154
Multiple Goals, Sensitivity Analysis, What-If Analysis, and Goal Seeking
157
Decision Analysis with Decision Tables and Decision Trees
161
Application Case 4.5 Decision Analysis Assists Doctor in Weighing Treatment Options for Cancer Suspects and Patients
164
Multicriteria Decision Making with Pairwise Comparisons
165
Application Case 4.6 Multicriteria Decision Support for European Radiation Emergency Support System
166
Problem-Solving Search Methods
168
Application Case 4.7 Heuristic-Based DSS Moves Milk in New Zealand
170
Simulation
171
Application Case 4.8 Improving Maintenance Decision Making in the Finnish Air Force Through Simulation
171
Application Case 4.9 Simulation Applications
176
Visual Interactive Simulation
177
Quantitative Software Packages and Model Base Management
179
Resources, Links, and the Teradata University Network Connection
180
Chapter Highlights
181
Key Terms
182
Questions for Discussion
182
Exercises
183
End of Chapter Application Case HP Applies Management Science Modeling to Optimize Its Supply Chain and Wins a Major Award
185
References
187
Part III Business Intelligence
189
Data Mining for Business Intelligence
190
Opening Vignette: Data Mining Goes to Hollywood!
191
Data Mining Concepts and Applications
194
Application Case 5.1 Business Analytics and Data Mining Help 1-800-Flowers Excel in Business
195
Technology Insights 5.1 Data in Data Mining
197
Application Case 5.2 Law Enforcement Organizations Use Data Mining to Better Fight Crime
199
Application Case 5.3 Motor Vehicle Accidents and Driver Distractions
203
Data Mining Applications
204
Application Case 5.4 A Mine on Terrorist Funding
206
Data Mining Process
207
Application Case 5.5 Data Mining in Cancer Research
213
Data Mining Methods
216
Application Case 5.6 Highmark, Inc., Employs Data Mining to Manage Insurance Costs
222
Data Mining Software Tools
228
Application Case 5.7 Predicting Customer Churn---A Competition of Different Tools
231
Data Mining Myths and Blunders
233
Chapter Highlights
234
Key Terms
235
Questions for Discussion
235
Exercises
236
End of Chapter Application Case Data Mining Helps Develop Custom-Tailored Product Portfolios for Telecommunication Companies
238
References
239
Artificial Neural Networks for Data Mining
241
Opening Vignette: Predicting Gambling Referenda with Neural Networks
242
Basic Concepts of Neural Networks
245
Technology Insights 6.1 The Relationship Between Biological and Artificial Neural Networks
247
Application Case 6.1 Neural Networks Help Reduce Telecommunications Fraud
248
Learning in Artificial Neural Networks
253
Application Case 6.2 Neural Networks Help Deliver Microsoft's Mail to the Intended Audience
254
Developing Neural Network-Based Systems
259
Technology Insights 6.2 ANN Software
263
Illuminating the Black Box of ANN with Sensitivity Analysis
264
Application Case 6.3 Sensitivity Analysis Reveals Injury Severity Factors in Traffic Accidents
266
A Sample Neural Network Project
267
Other Popular Neural Network Paradigms
270
Applications of Artificial Neural Networks
274
Application Case 6.4 Neural Networks for Breast Cancer Diagnosis
276
Chapter Highlights
277
Key Terms
277
Questions for Discussion
278
Exercises
278
End of Chapter Application Case Coors Improves Beer Flavors with Neural Networks
282
References
284
Text and Web Mining
286
Opening Vignette: Mining Text for Security and Counterterrorism
287
Text Mining Concepts and Definitions
289
Technology Insights 7.1 Text Mining Lingo
290
Application Case 7.1 Text Mining for Patent Analysis
291
Natural Language Processing
292
Application Case 7.2 Text Mining Helps Merck to Better Understand and Serve Its Customers
294
Text Mining Applications
296
Application Case 7.3 Mining for Lies
297
Application Case 7.4 Flying Through Text
301
Text Mining Process
302
Application Case 7.5 Research Literature Survey with Text Mining
309
Text Mining Tools
312
Web Mining Overview
312
Web Content Mining and Web Structure Mining
314
Application Case 7.6 Caught in a Web
315
Web Usage Mining
316
Web Mining Success Stories
318
Application Case 7.7 Web Site Optimization Ecosystem
319
Chapter Highlights
321
Key Terms
322
Questions for Discussion
322
Exercises
323
End of Chapter Application Case HP and Text Mining
323
References
325
Data Warehousing
326
Opening Vignette: DirecTV Thrives with Active Data Warehousing
327
Data Warehousing Definitions and Concepts
328
Application Case 8.1 Enterprise Data Warehouse Delivers Cost Savings and Process Efficiencies
331
Data Warehousing Process Overview
333
Application Case 8.2 Data Warehousing Supports First American Corporation's Corporate Strategy
333
Data Warehousing Architectures
335
Data Integration and the Extraction, Transformation, and Load (ETL) Processes
342
Application Case 8.3 BP Lubricants Achieves Bigs Success
342
Data Warehouse Development
346
Application Case 8.4 Things Go Better with Coke's Data Warehouse
347
Application Case 8.5 HP Consolidates Hundreds of Data Marts into a Single EDW
350
Technology Insights 8.1 Hosted Data Warehouses
352
Application Case 8.6 A Large Insurance Company Integrates Its Enterprise Data with AXIS
357
Real-Time Data Warehousing
359
Application Case 8.7 Egg Plc Fries the Competition in Near-Real-Time
360
Technology Insights 8.2 The Real-Time Realities of Active Data Warehousing
363
Data Warehouse Administration and Security Issues
364
Technology Insights 8.3 Ambeo Delivers Proven Data Access Auditing Solution
365
Resources, Links, and the Teradata University Network Connection
365
Chapter Highlights
367
Key Terms
367
Questions for Discussion
367
Exercises
367
End of Chapter Application Case Continental Airlines Flies High with Its Real-Time Data Warehouse
369
References
371
Business Performance Management
374
Opening Vignette: Double Down at Harrah's
375
Business Performance Management (BPM) Overview
377
Strategize: Where Do We Want to Go?
379
Plan: How Do We Get There?
382
Monitor: How Are We Doing?
383
Application Case 9.1 Discovery-Driven Planning: The Coffee Wars
385
Act and Adjust: What Do We Need to Do Differently?
387
Performance Measurement
390
Application Case 9.2 Expeda.com's Customer Satisfaction Scorecard
393
BPM Methodologies
395
Technology Insights 9.1 BSC Meets Six Sigma
402
BPM Technologies and Applications
404
Performance Dashboards and Scorecards
408
Chapter Highlights
411
Key Terms
412
Questions for Discussion
412
Exercises
413
End of Chapter Application Case Tracking Citywide Performance
414
References
416
Part IV Collaboration, Communication, Group Support Systems, and Knowledge Management
419
Collaborative Computer-Supported Technologies and Group Support Systems
420
Opening Vignette: Procter & Gamble Drives Ideation with Group Support Systems
421
Making Decisions in Groups: Characteristics, Process, Benefits, and Dysfunctions
423
Technology Insights 10.1 Benefits of Working in Groups and Dysfunctions of the Group Process
425
Supporting Groupwork with Computerized Systems
426
Application Case 10.1 GSS Boosts Innovation in Crime Prevention
427
Technology Insights 10.2 Unsupported Aspects of Communication
430
Tools for Indirect Support of Decision Making
431
Application Case 10.2 Catalyst Maintains an Edge with WebEx
433
Integrated Groupware Suites
436
Application Case 10.3 Wimba Extends Classrooms at CSU, Chico
440
Direct Computerized Support for Decision Making: From Group Decision Support Systems to Group Support Systems
441
Technology Insights 10.3 Modeling in Group Decision Making: EC11 for Groups
443
Application Case 10.4 Collaborative Problem Solving at KUKA
444
Application Case 10.5 Eastman Chemical Boosts Creative Processes and Saves $500,000 with Groupware
445
Products and Tools for GDSS/GSS and Successful Implementation
448
Technology Insights 10.4 The Standard GSS Process
449
Emerging Collaboration Tools: From VoIP to Wikis
453
Technology Insights 10.5 VoIP System Helps Increase Productivity and Enhance Learning Experiences at the State University of New York
453
Collaborative Efforts in Design, Planning, and Project Management
456
Application Case 10.6 CPFR Initiatives at Ace Hardware and Sears
461
Creativity, Idea Generation, and Computerized Support
462
Chapter Highlights
465
Key Terms
466
Questions for Discussion
466
Exercises
467
End of Chapter Application Case Dresdner Kleinwort Wasserstein Uses Wiki for Collaboration
468
References
469
Knowledge Management
471
Opening Vignette: MITRE Knows What It Knows Through Knowledge Management
472
Introduction to Knowledge Management
474
Application Case 11.1 KM at Consultancy Firms
477
Application Case 11.2 Cingular Calls on Knowledge
480
Organizational Learning and Transformation
481
Application Case 11.3 NASA Blends KM with Risk Management
483
Knowledge Management Activities
485
Approaches to Knowledge Management
486
Application Case 11.4 Texaco Drills for Knowledge
488
Technology Insights 11.1 KM: A Demand-Led Business Activity
490
Information Technology (IT) In Knowledge Management
493
Knowledge Management Systems Implementation
498
Application Case 11.5 Knowledge Management: You Can Bank on It at Commerce Bank
501
Roles of People in Knowledge Management
504
Application Case 11.6 Online Knowledge Sharing at Xerox
506
Technology Insights 11.2 Seven Principles for Designing Successful COP
508
Ensuring the Success of Knowledge Management Efforts
509
Technology Insights 11.3 Make: Most Admired Knowledge Enterprises
510
Application Case 11.7 The British Broadcasting Corporation Knowledge Management Success
511
Application Case 11.8 How the U.S. Department of Commerce Uses an Expert Location System
512
Technology Insights 11.4 Six Keys to KM Success for Customer Service
513
Technology Insights 11.5 KM Myths
516
Application Case 11.9 When KMS Fail, They Can Fail in a Big Way
517
Technology Insights 11.6 Knowledge Management Traps
518
Chapter Highlights
520
Key Terms
521
Questions for Discussion
521
Exercises
522
End of Chapter Application Case Siemens Keeps Knowledge Management Blooming with ShareNet
523
References
524
Part V Intelligent Systems
529
Artificial Intelligence and Expert Systems
530
Opening Vignette: A Web-Based Expert System for Wine Selection
531
Concepts and Definitions of Artificial Intelligence
532
Application Case 12.1 Intelligent System Beats the Chess Grand Master
533
The Artificial Intelligence Field
535
Technology Insights 12.1 Artificial Intelligence Versus Natural Intelligence
537
Application Case 12.2 Automatic Speech Recognition in Call Centers
539
Application Case 12.3 Agents for Travel Planning at USC
541
Basic Concepts of Expert Systems
542
Technology Insights 12.2 Sample Session of a Rule-Based ES
545
Application Case 12.4 Expert System Helps in Identifying Sport Talents
546
Applications of Expert Systems
546
Application Case 12.5 Sample Applications of ES
547
Structure of Expert Systems
550
Application Case 12.6 A Fashion Mix-and-Match Expert System
552
Knowledge Engineering
553
Technology Insights 12.3 Difficulties in Knowledge Acquisition
555
Problem Areas Suitable for Expert Systems
564
Application Case 12.7 Monitoring Water Quality with Sensor-Driven Expert Systems
565
Development of Expert Systems
566
Benefits, Limitations, and Critical Success Factors of Expert Systems
569
Expert Systems on the Web
572
Application Case 12.8 Banner with Brains: Web-Based ES for Restaurant Selection
573
Application Case 12.9 Rule-Based System for Online Consultation
573
Technology Insights 12.4 Automated and Real-Time Decision Systems
574
Chapter Highlights
575
Key Terms
576
Questions for Discussion
576
Exercises
577
End of Chapter Application Case Business Rule Automation at Farm Bureau Financial Services
577
References
578
Advanced Intelligent Systems
580
Opening Vignette: Machine Learning Helps Develop an Automated Reading Tutoring Tool
581
Machine-Learning Techniques
582
Case-Based Reasoning
585
Application Case 13.1 A CBR System for Optimal Selection and Sequencing of Songs
590
Genetic Algorithms and Developing GA Applications
593
Application Case 13.2 Genetic Algorithms Schedule Assembly Lines at Volvo Trucks North America
600
Technology Insights 13.1 Genetic Algorithm Software
600
Fuzzy Logic and Fuzzy Inference Systems
601
Support Vector Machines
606
Intelligent Agents
613
Technology Insights 13.2 Intelligent Agents, Objects, and ES
617
Developing Integrated Advanced Systems
622
Application Case 13.3 International Stock Selection
623
Application Case 13.4 Hybrid ES and Fuzzy Logic System Dispatches Trains
625
Chapter Highlights
625
Key Terms
626
Questions for Discussion
627
Exercises
627
End of Chapter Application Case Improving Urban Infrastructure Management with Case-Based Reasoning
628
References
629
Part VI Implementing Decision Support Systems and Business Intelligence
633
Management Support Systems: Emerging Trends and Impacts
634
Opening Vignette: Coca-Cola's RFID-Based Dispenser Serves a New Type of Business Intelligence
635
RFID and New BI Application Opportunities
636
Reality Mining
641
Virtual Worlds
644
Technology Insights 14.1 Second Life as a Decision Support Tool
645
The Web 2.0 Revolution
649
Virtual Communities
650
Online Social Networking: Basics and Examples
653
Application Case 14.1 Using Intelligent Software and Social Networking to Improve Recruiting Processes
656
Cloud Computing and BI
658
The Impacts of Management Support Systems: An Overview
659
Management Support Systems Impacts on Organizations
661
Management Support Systems Impacts on Individuals
664
Automating Decision Making and the Manager's Job
665
Issues of Legality, Privacy, and Ethics
667
Resources, Links, and the Teradata University Network Connection
671
Chapter Highlights
671
Key Terms
672
Questions for Discussion
672
Exercises
672
End of Chapter Application Case Continental Continues to Score with Data Warehouse
674
References
675
Glossary678
Index691

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