Identify the different methods of performing cluster and the types of problems it solves. analysis. Study the literature and Web sites to deter-
2. Identify the different methods of performing cluster and the types of problems it solves. analysis. Study the literature and Web sites to deter-
5. Describe how the Co-operative Desjardin's mine the kinds of problems to which each method
Movement performed its cluster analysis.
LEARNING OBJECTIVES • Understand the basic concepts of systems development • Describe the four phases of the (PADI) system development life cycle: planning, analysis,
development, and implementation • Understand prototyping and throwaway prototyping and why DSS are typically developed
using these methods • Describe the factors that lead to DSS success or failure • Discuss the importance of project management and the necessary skills of a good project
manager • Describe the three technology levels of DSS: DSS primary tools, DSS integrated tools (gen-
erators), and specific DSS • Understand the learning process that occurs during DSS development
Up until now, we have presented the basic concepts and components of decision- making and decision support. Now we must learn how to implementa decision support system: U n f o r t u n a t e l y , a c q u i r i n g a D S S is n o t as s i m p l e as o b t a i n i n g p r o d u c t i v i t y s o f t - w a r e like a w o r d p r o c e s s o r . D S S a r e usually d e s i g n e d t o h a n d l e c o m p l e x situations, a n d
f e w a r e available r i g h t off t h e shelf. T h o u g h O L A P s o f t w a r e h a s f a c i l i t a t e d D S S d e v e l - opment, most DSS require some custom-design, development, and implementation for
e a c h specific a p p l i c a t i o n . W e p r e s e n t t h e D S S d e v e l o p m e n t p r o c e s s i n t h e f o l l o w i n g sections:
6 . 1 O p e n i n g V i g n e t t e : O s r a m Sylvania T h i n k s Small, S t r a t e g i z e s B i g — D e v e l o p s the InfoNet HR Portal System
6.2 I n t r o d u c t i o n t o D S S D e v e l o p m e n t
6.3 T h e T r a d i t i o n a l S y s t e m D e v e l o p m e n t L i f e C y c l e
6.4 A l t e r n a t i v e D e v e l o p m e n t M e t h o d o l o g i e s
6.5 P r o t o t y p i n g : T h e D S S D e v e l o p m e n t M e t h o d o l o g y
6.6 C h a n g e M a n a g e m e n t
6.7 D S S T e c h n o l o g y L e v e l s a n d T o o l s
6.8 D S S D e v e l o p m e n t P l a t f o r m s
6.9 D S S D e v e l o p m e n t T o o l S e l e c t i o n
P A R T II DECISION SUPPORT SYSTEMS'
6.10 Team-developed D S S
6.11 E n d U s e r D e v e l o p e d D S S
6.12 Putting the D S S Together
6.13 The D S S of the F u t u r e
Parts
» Decision Support System And Intelligent System 7th Edition Turban Aronson Liang 2005
» DECISION -MAKING: THE INTELLIGENCE PHASE
» DECISION-MAKING: THE CHOICE PHASE
» SUPPORT FOR THE I N T E L L I G E N C E P H A S E
» OPENING VIGNETTE: DUPONT SIMULATES RAIL TRANSPORTATION SYSTEM AND AVOIDS COSTLY CAPITAL EXPENSE 1
» CERTAINTY, UNCERTAINTY, AND RISK 3
» MSS MODELING WITH SPREADSHEETS
» THE NATURE AND SOURCES OF DATA
» THE WEB/INTERNET AND COMMERCIAL DATABASE SERVICES
» DATABASE MANAGEMENT SYSTEMS IN DECISION SUPPORT SYSTEMS/BUSINESS INTELLIGENCE
» BUSINESS INTELLIGENCE/BUSINESS ANALYTICS
» Repeat steps 3 to 5 until you have reached the pre- specified maximum number of clusters.
» INTRODUCTION TO DSS DEVELOPMENT
» THE TRADITIONAL SYSTEM DEVELOPMENT LIFE CYCLE
» Obtaining executive-level buy-in. • Correctly estimate how difficult or complex a pro-
» PROTOTYPING: THE DSS DEVELOPMENT METHODOLOGY
» N A C T I O N 6.19 USER INVOLVEMENT IS CRITICAL IN SYSTEMS IMPLEMENTATION
» The four cells are organized along the two dimensions of time and place.
» Make money (sell your courseware)
» CREATIVITY AND IDEA GENERATION CREATIVITY
» EXECUTIVES' ROLES AND INFORMATION NEEDS
» SOFT INFORMATION IN ENTERPRISE SYSTEMS
» SUPPLY AND VALUE CHAINS AND DECISION SUPPORT
» SUPPLY CHAIN PROBLEMS AND SOLUTIONS INTRODUCTION
» CUSTOMER RELATIONSHIP (RESOURCE) MANAGEMENT (CRM) SYSTEMS
» BEST THINGS YOU CAN DO WITH YOUR DATA
» FRONTLINE DECISION SUPPORT SYSTEMS
» THE FUTURE OF EXECUTIVE AND ENTERPRISE INFORMATION SYSTEMS 2
» APPROACHES TO KNOWLEDGE MANAGEMENT THE PROCESS APPROACH
» EVOLUTION OF ARTIFICIAL INTELLIGENCE
» THE ARTIFICIAL INTELLIGENCE FIELD
» PROBLEM AREAS SUITABLE FOR EXPERT SYSTEMS
» KNOWLEDGE ACQUISITION FROM MULTIPLE EXPERTS
» KNOWLEDGE VERIFICATION AND VALIDATION
» S I N A C T I O N 11.9 RULE-BASED SYSTEMS TACKLE EMPLOYEE SHRINK
» Search the Internet to find a knowledge-acquisition development of Web-based expert systems. How
» BASIC CONCEPT OF NEURAL COMPUTING
» DEVELOPING NEURAL NETWORK-BASED SYSTEMS
» DEVELOPING GENETIC ALGORITHM APPLICATIONS
» DEVELOPING INTEGRATED ADVANCED SYSTEMS
» X 2 . Again, how well did this work? Plot your
» OPENING VIGNETTE: SPARTAN USES INTELLIGENT SYSTEMS TO FIND THE RIGHT PERSON AND REDUCE TURNOVER
» WEB-BASED INTELLIGENT SYSTEMS
» INTELLIGENT AGENTS: AN OVERVIEW
» M-COMMERCE, L-COMMERCE, AND PERVASIVE COMPUTING
» OPENING VIGNETTE: ELITE CARE SUPPORTED BY INTELLIGENT SYSTEMS
» THE IMPACTS OF MSS: AN OVERVIEW
» DECISION-MAKING AND THE MANAGER'S JOB
» ISSUES OF LEGALITY, PRIVACY, AND ETHICS
» INTELLIGENT SYSTEMS AND EMPLOYMENT LEVELS
» Rosati. (2001, September). "Data Integration in Celik, M. (2001, July). "Catching Up with Expert
Show more