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ندوة الدعم المؤسسي والمعلوماتي لعمل المراكز الإستراتيجية في الحكومة 6-10 فبراير 2005 إعداد دكتور/ شريف عبد المجيد مازن نائب مدير مركز الدراسات وتطوير نظم.

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Presentation on theme: "ندوة الدعم المؤسسي والمعلوماتي لعمل المراكز الإستراتيجية في الحكومة 6-10 فبراير 2005 إعداد دكتور/ شريف عبد المجيد مازن نائب مدير مركز الدراسات وتطوير نظم."— Presentation transcript:

1 ندوة الدعم المؤسسي والمعلوماتي لعمل المراكز الإستراتيجية في الحكومة 6-10 فبراير 2005 إعداد دكتور/ شريف عبد المجيد مازن نائب مدير مركز الدراسات وتطوير نظم المعلومات كلية الحاسبات والمعلومات جامعة القاهرة

2 مقدمة عامة

3 Foundations of Information Systems in Business

4 Foundation Concepts n Fundamental behavioral, technical, business, and managerial concepts about the components and roles of information systems. n Example: Basic information systems concepts derived from general systems theory

5 Business Applications n The major uses of information systems for the operations, management, and competitive advantage of the E-Business enterprise. n Includes electronic business, commerce, collaboration, and decision making using the Internet, intranets, and extranets.

6 Development Processes n How business professionals and information specialists plan, develop, and implement information systems to meet E-Business opportunities using several strategic planning and application development approaches

7 Management Challenges n The challenges of effectively and ethically managing E-business technologies, strategies, and security at the end user, enterprise, and global levels of a business n We will not be looking at this in-depth in this course

8 Information Technologies n Major concepts, developments, and management issues in information technology n Hardware, software, networks, data resource management, and Internet based technologies

9 What is an Information System? n Simple Definition It can be any organized combination of people, hardware, software, communications networks and data resources that collects, transforms, and communicates information in an organization.

10 Diagram of a System Manufacturing Process Input of Raw Materials Output of Finished Products Environment Other Systems Control by Management Control Signals Control Signals Feedback Signals Feedback Signals System Boundary

11 Components of an IS n Four major concepts –People, hardware, software, data and networks are the five basic resources of information systems –People resources include end users, IS specialists, hardware resources consist of machines and media, software resources include both programs and procedures, data resources can include data and knowledge bases, and networks include communications media and networks

12 Components of an IS n Four major concepts continued… –Data resources are transformed by information processing activities into a variety of information products for end users –Information processing consists of input, processing, output, storage, and control activities

13 Information System Resources

14 n People Resources –End Users – the people who use an information system or the information it produces. Ex: Accountants, salespeople, customers –IS Specialists – the people who develop and operate information systems based on the requirements of end users. Ex: programmers, analysts, system operators

15 Information System Resources n Hardware Resources –Machines, such as computers and other devices, and media, such as paper, disks –Computer Systems such as the personal computer (desktop), mainframe, or laptop –Computer peripherals such as keyboard, mouse, monitor, scanner, printer, disks

16 Information System Resources n Software Resources –Programs – sets of operating instructions that direct and control computer hardware –Procedures – sets of information processing instructions that people need

17 Information System Resources n Software Resources continued –System Software – such as operating system that supports the operations of a computer system. Ex. Windows 98 –Application Software – programs that direct processing for a particular use of computers by end users. Ex. Excel –Procedures – operating instructions for people who will use an IS. Ex. Instructions for filling out a form.

18 Information System Resources n Data Resources –Types of data Text data Image data Audio data –Data Storage Databases – hold processed and organized data Knowledge bases – hold knowledge in a variety of forms such as facts, rules, and case examples of successful business practices

19 Information System Resources n Data Resources continued… –Data Vs. Information Data – raw facts or observations, objective measurements of the characteristics of entities such as people, places, things and events Information – data that has been converted to a meaningful and useful context for specific end users.

20 Information System Resources n Data Resources continued… –Data is subjected to a value-added process 1.Its form is aggregated, manipulated and organized 2.Its content is analyzed and evaluated 3.It is placed in a proper context for a human user –Called data processing or information processing

21 Information System Resources n Data Resources continued… WestCharles Mann 79154TM Shoes Monthly Sales Report for West Region Sales Rep: Charles Mann Emp No Item Qty Sold Price TM Shoes 1200 $100

22 Information System Resources n Network Resources –Communication media – Twisted pair wire, coaxial cable, fiber-optic cable and microwave, cellular, and satellite technologies –Network support – people and all of the hardware, software, and data technologies that directly support the operation and use of a communication network.

23 Information System Activities n Input of Data Resources –Data about business transactions and other events must be captured and prepared for processing –Input typically takes the form of data entry activities such as recording and editing –End users typically enter data directly into a computer system or record it on some physical media such as a paper form

24 Information System Activities n Processing of Data into Information –Data is subjected to processing activities such as calculating, comparing, sorting, classifying and summarizing –This organizes, analyzes, and manipulated data, turning it into information –The quality of data stored in an information system must be maintained by a continual process of correcting and updating activities

25 Information System Activities n Output of Information Products –The goal of information systems is the production of appropriate information products for end users –Examples are messages, reports, forms and graphic images which may be provided by video displays, audio responses, paper products, and multimedia

26 Information System Activities n Information Quality –Information that is outdated, inaccurate, or hard to understand is not meaningful, useful, or valuable to end users –Information products should have characteristics, attributes, and qualities that make the information more valuable to the end users –Information has three dimensions of time, form, and content

27 Information System Activities n Information Quality continued..

28 n Storage of Data Resources –Data and information are retained in an organized manner for later use –Stored data is commonly organized into fields, records, files, and databases Information System Activities Name Field Name Field Payroll Record Payroll Record Payroll File Payroll File Personnel Database

29 Information System Activities n Control of System Performance –An IS should produce feedback about its input, processing, output, and usage activities –This feedback must be monitored and evaluated to determine if the system is meeting performance standards –Activities must be adjusted so that proper information products are produced for end users

30 Roles of IS in Business Support of Strategic Advantage Support of Business Decision Making Support of Business Processes and Operations

31 History of Information Systems Data Processing Management Reporting Decision Support Strategic & End User Electronic Commerce Electronic Data Processing - TPS Management Information Systems Decision Support Systems - Ad hoc Reports End User Computing Exec Info Sys Expert Systems SIS Electronic Business & Commerce -Internetworked E-Business & Commerce

32 The E-Business Enterprise n E-Business –The use of Internet technologies to inter- network and empower business processes, electronic commerce, and enterprise communication and collaboration within a company and with its customers, suppliers, and other business stakeholders.

33 The E-Business Enterprise n E-Business enterprises rely on information technologies such as the Internet to: –Reengineer and revitalize internal business processes –Implement electronic commerce systems among businesses and their customers and suppliers –Promote enterprise collaboration among business teams and workgroup

34 The E-Business Enterprise n Enterprise collaboration systems –Involve the use of groupware tools to support communication, coordination, and collaboration among members of networked teams and workgroups n Electronic Commerce –The buying and selling, marketing and servicing of products, services and information over a variety of computer networks

35 The E-Business Enterprise n Types of networks –The Internet –Intranets – the network existing inside an enterprise –Extranets – networks existing between enterprises

36 The Inter-networked Business Manufacturing and Production Engineering & Research Accounting, Finance, and Management Suppliers and Other Business Partners Procurement, Distribution, and Logistics Advertising Sales Customer Service Consumer and Business Customers Company Boundary Intranets The Internet Extranets

37 Types of Information Systems Transaction Processing Systems Process Control Systems Enterprise Collaboration Systems Operations Support Systems Management Information Systems Decision Support Systems Executive Information Systems Management Support Systems Information Systems

38 Operations Support Systems n Role is to efficiently process business transactions, control industrial processes, support enterprise communications and collaboration, and update corporate databases n Examples –Transaction Processing Systems – record and process data from business transactions in one of two ways – batch process and real-time process –Process Control Systems – monitor and control physical processes such petroleum refining –Enterprise Collaboration Systems – enhance team and workgroup communications and productivity

39 Management Support Systems n Focus on providing information and support for effective decision making by management n Examples –Management Information Systems – provide information in forms of reports and displays to managers and other professionals –Decision Support Systems – giver direct computer support during the decision making process –Executive Information Systems – provide critical information from a wide variety of internal and external sources in an easy to use displays

40 Other Classifications n Expert Systems – provide export advice for operational chores like equipment diagnostics n Knowledge Management Systems – support the creation, organization, and distribution of business knowledge to employees and managers n Functional Information Systems – focus on operational and managerial applications in support of basic business functions such as accounting n Strategic Information Systems – apply information technology to a firms products, services, or business practices to gain a competitive advantage

41 Developing Information Systems n Development Cycle

42 Managerial Challenges of IT n Information systems and their technologies must be managed to support the business strategies, business processes, and organizational structures and culture of an enterprise to increase its customer and business value.

43 Managerial Challenges of IT Business Strategies Business Processes Business Needs Customer Relationships Business Partners Suppliers Business Customers Ethical Considerations Potential Risks? Potential Laws? Possible Responses? IS Human Resources IS Development IT Infrastructure IS Performance Organization Structure and Culture User Acceptance

44 Ethics and IT n Ethical Responsibilities –What use of IT may be considered improper, irresponsible, or harmful to other individuals or society? –How to protect yourself from computer crime? –Use of Internet in the business environment?

45 The IS Function n A major functional area of business that is as important to business success as the functions of accounting, finance, operations management, marketing, and human resource management n An important contributor to operational efficiency, employee productivity and morale, and customer service and satisfaction n A major source of information and support needed to promote effective decision making by managers and business professionals

46 The IS Function n A vital ingredient in developing competitive products and services that give an organization a strategic advantage in the global marketplace n A dynamic, rewarding, and challenging career opportunity for millions of men and women n A key component of the resources, infrastructure, and capabilities of todays e- business enterprises

47 أنواع القرارات n Unstructured Decisions –Non-routine decisions; there is no agreed-upon procedure for making these decisions. n Structured Decisions –Decisions that are routine, repetitive, and have a definite procedure for handling them. n Semi-Structured Decisions –Decisions where only part of the problem has a clear-cut answer provided by an accepted procedure.

48 أنواع نظم المعلومات n Transaction Processing Systems (TPS) n نظم معلومات تشغيل العمليات n Knowledge Work Systems (KWS) n نظم المعرفة n Office Automation Systems (OAS) n نظم ميكنة المكتب n Management Information Systems (MIS) n نظم المعلومات الإدارية n Decision Support Systems (DSS) n نظم دعم اتخاذ القرار n Executive Support Systems (ESS) n نظم دعم المستوى التنفيذي n Expert Systems (ES) –Replicates decision making process n النظم الخبيرة

49 Types of Information Systems

50 مستويات عملية اتخاذ القرار n Strategic Decision Making –Determines the long-term objectives, resources, and policies of an organization. n Decision Making for Management Control –Concerned with how efficiently or effectively resources are utilized and how well operational units are performing. n Knowledge-Level Decision Making –Evaluates new ideas for products, services, ways to communicate new knowledge, and ways to distribute information throughout the organization. n Decision Making for Operational Control –Decides how to carry out the specific tasks set forth by strategic and middle management and establishes criteria for completion and resource allocation.

51 n Operational level n Inputs: Transactions, Events n Processing: Updating n Outputs: Detailed reports n Users: Operations personnel n Example: Accounts payable, Payroll نظم معلومات تشغيل العمليات Transaction Processing Systems

52 n Knowledge level n Inputs: Design specs n Processing: Modeling n Outputs: Designs, Graphics n Users: Technical staff (knowledge workers) n Example: Engineering workstation نظم المعرفة Knowledge Systems

53 n Toward a paperless office n Redesign of work flow n Integrated software n Ergonomic design n Bright, cheerful work space n Users: data (clerical) workers n Example: document imaging system نظم ميكنة المكتب Office Automation Systems

54 n Management level n Supports structured & semi-structured decisions. n Inputs: high volume data (e.g. from TPS) n Processing: simple models n Outputs: summary reports n Users: middle managers n Example: annual budgeting نظم المعلومات الإدارية Management Information Systems

55 n Management level n Supports semi-structured, unique, rapidly changing, not easily specified decisions. n Inputs: Data from various sources (e.g., MIS, TPS, KWS) n Processing: Interactive n Outputs: Decision analysis n Users: Professionals, staff n Example: Contract Cost Analysis نظم دعم اتخاذ القرار Decision Support Systems

56 n Strategic level n Supports unstructured decisions. n Inputs: Aggregate data (external, MIS, DSS) n Processing: Interactive n Outputs: Projections n Users: Senior managers n Example: 5 Year operating plan نظم دعم المستوى التنفيذي Executive Support Systems

57 العلاقة بين نظم المعلومات المختلفة ESS MISDSS TPS KWS/ OAS TPS is a major producer of information for other systems

58

59 التكامل بين كل من نظم تشغيل العمليات ونظم المعلومات الإدارية ونظم دعم اتخاذ القرار n In many organizations they are integrated through a common database n Separation of DSS transactions in the database from TPS and MIS transactions may be important for performance reasons

60 مراحل عملية اتخاذ القرار n Intelligence –Collects information to identify problems occurring in the organization. n Design –Designs possible alternative solutions to a problem. n Choice –Selects among the various solution alternatives n Implementation –Puts the decision into effect and reports on the progress of the solution.

61 The Decision Making Process

62 Information Requirement and IS Stage of Decision MakingInformation RequirementExample IS IntelligenceException reportingMIS DesignSimulation prototypeDSS, KWS ChoiceWhat-if simulationDSS; large models ImplementationGraphics, chartsPC and mainframe decision aids

63 مهام نظم دعم اتخاذ القرار n Assist management decision making by combining data, sophisticated analytical tools and user friendly S/W into a single powerful system. n Focus on a specific decision or classes of decisions (e.g. evaluating, predicting), whereas MIS focus on routine, general control of the organization.

64 أنواع نظم دعم اتخاذ القرار n Model-Driven DSS (early DSS, 70s, 80s~) –Stand-alone system based on a strong theory/model to perform what-if and other kinds of analysis. n Data-Driven DSS –Allow users to extract and analyze useful info buried in large databases. –Data mining: Technology for finding hidden patterns and relationships in large databases and inferring rules from them to predict future behavior; it provides insights into corporate data.

65 بعض الأمثلة لنظم دعم اتخاذ القرار n Geographic Information Systems (GIS) –A special DSS with S/W that can analyze and display data for planning and decision making using digitized maps. –Assemble, store and display geographically referenced info, tying data to points, lines, and areas on a map. –Can be used to calculate emergency response times to natural disasters; help banks identify the best locations for installing ATM terminals.

66 بعض الأمثلة لنظم دعم اتخاذ القرار (2) n Customer Decision Support System (CDSS) –Recently being developed based on the Web. –System to support the decision-making process of an existing or potential customers. –Developed to attract customers by providing information and tools to assist their decision making as they select products and services.

67 قدرات نظم دعم اتخاذ القرار n Supports –Problem solving phases –Different decision frequencies Frequency lowhigh Merge with another company? How many widgets should I order?

68 قدرات نظم دعم اتخاذ القرار (2) n Highly structured problems –Straightforward problems, requiring known facts and relationships. n Semi-structured or unstructured problems –Complex problems wherein relationships among data are not always clear, the data may be in a variety of formats, and are often difficult to manipulate or obtain.

69 خصائص نظم دعم اتخاذ القرار n Handles large amounts of data from different sources n Provides report and presentation flexibility n Offers both textual and graphical orientation n Supports drill down analysis n Performs complex, sophisticated analysis and comparisons using advanced software packages n Supports optimization, satisfying, and heuristic approaches

70 خصائص نظم دعم اتخاذ القرار (2) n Performs different types of analysis –What-if analysis Makes hypothetical changes to problem and observes impact on the results –Simulation Duplicates features of a real system –Goal-seeking analysis Determines problem data required for a given result

71 Solution Types n Optimization model –Finding the best solution. n Satisfying model –Finding a good - but not necessarily the best - solution to a problem. n Heuristics –Commonly accepted guidelines or procedures that usually find a good solution.

72 Problem Solving Factors n Multiple decision objectives n Increased alternatives n Increased competition n The need for creativity n Social and political actions n International aspects n Technology n Time compression

73 Goal Seeking Example n You know the desired result n You want to know the required input(s) n Example: –Microsoft Excels Goal Seek and Solver functions

74 Excel demo

75 نظم دعم اتخاذ القرار على الإنترنت n Web-based decision support systems –DSS SW provides business intelligence through web browser clients that access databases either through the Internet or a corporate intranet.

76 مكونات نظم دعم اتخاذ القرار n Model Management Software (MMS) –Coordinates the use of models in the DSS. n Model Base –Provides decision makers with access to a variety of models. n Dialogue Manager –Allows decision makers to easily access and manipulate the DSS.

77 DatabaseModel Base External Database Access Access to the Internet, Networks, and other Computer Systems Dialogue Manager DBMSMMS External Databases

78 Model Base n Model Base –Provides decision makers with access to a variety of models and assists them in decision making. n Models –Financial models –Statistical Analysis models –Graphical models –Project Management models

79 Advantages and Disadvantages of Modeling –Advantages Less expensive than custom approaches or real systems. Faster to construct than real systems. Less risky than real systems. Provides learning experience (trial and error). Future projections are possible. Can test assumptions. –Disadvantages Assumptions about reality may be incorrect. Accuracy of predications often unreliable. Requires abstract thinking.

80 Group Decision Support System n Group Decision Support System (GDSS) –Contains most of the elements of DSS plus software to provide effective support in group decision-making settings.

81 Databases Model baseGDSS processorGDSS software Dialogue manager External database access Users Access to the internet and corporate intranet, networks, and other computer system External databases

82 Executive Support System (ESS) n Characteristics –A specialized DSS that includes all the hardware, software, data, procedures, and people used to assist senior-level executives within the organization. Board of directors President Function area vice presidents Function area managers

83 Characteristics of ESSs n Tailored to individual executives n Easy to use n Drill down capabilities n Support the need for external data n Help with situations with high degree of uncertainty n Futures orientation (predictions, forecasting) n Linked with value-added business processes

84 Capabilities of an ESS n Support for :- –Defining overall vision –Strategic planning –Strategic organizing and staffing –Strategic control –Crisis management

85 Constructing, Implementing, and Evaluating a Decision Support System n DSS Development n DSS Implementation n DSS Evaluation

86 n Planning for DSS –BSP approaches –CSF approaches n Developing a specific DSS Step 1. Decide on development methodology Step 2. Requirements analysis Step 3. Logical design Step 4. Construction Step 5. Implementation

87 Make versus Buy n Alternatives –Buy shrink-wrapped –Customize a shrink-wrapped –Build from specialized tools / generators –Build from scratch

88 Step 1. DSS Development Approaches n SDLC n Evolutionary prototyping n Throwaway prototyping n End user development n Strengths and weaknesses

89 The System Development Life Cycle (SDLC) Approach & DSS n Inappropriate for most DSS. n Users and Managers may not understand their information and modeling needs. n Use in conjunction with Throwaway prototyping.

90 Prototyping n Process of building a "quick and dirty" version of an Information System –Evolutionary Prototyping

91 Evolutionary Steps 1.Identify user's information and operating requirements in a "quick and dirty" manner. 2.Develop a working prototype that performs only the most important function 3.Test and evaluate (By User and Builder). 4.Redefine information needs and improve the system.

92 The Primary Features of Prototyping 1.Learning is explicitly integrated into the design process 2.Short intervals between iterations 3.User involvement is very important (Joint Application Development (JAD) method) 4.Initial prototype must be low cost 5.Prototyping essentially bypasses the life- cycle stage of information requirements definition

93 Advantages of Prototyping n Short development time n Short user reaction time (feedback from user) n Improved users' understanding of the system, its information needs, and its capabilities. n Low cost Disadvantages and Limitations –Gains might be lost through cycles

94 User-Developed DSS advantages End-user development means the development and use of computer-based information systems by people outside the formal IS areas. 1.Short delivery time 2.Eliminate extensive and formal user requirements specifications 3.Reduce some DSS implementation problems 4.Low cost

95 User-Developed DSS Risks 1.Poor Quality 2.Quality Risks –Substandard or inappropriate tools and facilities –Development process risks –Data management risks 3. Increased Security Risks 4. Problems from Lack of Documentation 5. Problems from Maintenance Procedures

96 Issues in reducing End-User Computing Risks n Error detection n Use of auditing techniques n Training and Support n Determine the proper amount of controls n Investigate the reasons for the errors n Solutions

97 Step 2. Requirements Analysis n Goal: To understand how DM conceptualizes, analyses, and communicates problems. n Direct methods –Interviews, group meetings, JAD n Indirect methods –Observation, temporary job assignments, questionnaires, document review, software review n Addressing compiled knowledge –Protocol analysis –Card sorting, multidimensional scaling

98 Categorization of DSS Software n Specific DSS The application doing the decision support. n DSS generator Package that provides capabilities to build Specific DSS –special purpose languages, such as IFPS n DSS tools tools that facilitate development of a specific DSS or DSS generator 3 GLs – 4GLs n Now all with Web Hooks and easy GUI interfaces

99 Selection of DSS Development Tools Determine & contact key participants Elicit requirements / functionality Compose requirements into a RFP Distribute RFPs to potential vendors Collect and summarize RFP data Select RFP short list Set short list interviews and demos; references Select Vendor Negotiate contract

100 Complexity of the Software Selection Process 1.DSS information requirement and outputs are not completely known 2.Hundreds of software packages 3.Software packages evolve very rapidly 4.Frequent price changes 5.Several people involved

101 6.One language for several DSS? Tool requirements may change 7.Dozens of criteria, some intangible, some conflict 8.Technical, functional, end-user, and managerial issues 9.Published evaluations are subjective and superficial 10.Trade off between open and closed environments

102 Step 5. Implementation as Change n From development to production –technology acquisition –port to production platform –database conversion –system conversion strategy –user access, training, & ongoing support –documentation & maintenance n From implementation to institutionalization –existence does not guarantee use –use does not guarantee success

103 Implementation CSFs n User involvement n Management commitment n Design quality n Performance level n Project management n System institutionalization

104 Evaluating DSS Success Technical quality –Response time –Throughput –Reliability –Data integrity Requirements coverage –Does what its supposed to do Use & usability –Number of users –Frequency of use –User-friendliness –Accessibility Economic benefits –Cost of decision –Benefits of improved decision-making the problems of measurement and quantification

105 Benefits of DSS Usage More effective decision making –faster assimilation of information and/or identification of problems –exploration of more alternatives –visual comparison of alternative consequences/outcomes –environment of collaboration More efficient decision making –reduce the length of the decision cycle –reduce the cost of the decision

106 Benefits of DSS Usage (2) n Better communication & collaboration among decision makers –shared information and shared model –implicit assumptions made explicit n Improved learning process for users –offset cognitive limitations of decision makers; focus on higher-level thinking –provide environment for utilizing knowledge –provide environment for acquiring experience

107 Drawbacks to DSS Usage n overemphasize on (rational) decision making –versus social, intuitive, and personalized approaches to reaching resolution n assumption of relevance –DSS must address most relevant aspects of decision-making

108 Drawbacks to DSS Usage n Unintended transfer of power –from decision-maker to DSS –between decision makers n Obscuring responsibility –DSS as independent entity that must be right –tendency to trust DSS and its designers

109 E-Business Decision Support

110 Decisions in the E-Business Strategic Management Tactical Management Operational Management Decisions Information Decision Characteristics Unstructured Semi-structured Structured

111 MIS Reports Periodic Scheduled Reports Periodic Scheduled Reports Exception Reports Demand Reports and Responses Demand Reports and Responses Push Reports Major Management Information Systems Reports

112 Online Analytical Processing OLAP Server OLAP Server Multi- dimensional database Corporate Databases Client PC Web-enabled OLAP Software Data is retrieved from corporate databases and staged in an OLAP multi-dimensional database Operational DB Data Marts Data Warehouse

113 Decision Support Systems What If-Analysis Sensitivity Analysis Goal-Seeking Analysis Optimization Analysis Important Decision Support Systems Analytical Models Important Decision Support Systems Analytical Models

114 Enterprise Information Portals & DSS Enterprise Information Portal Gateway Enterprise Information Portal User Interface Search Agents Search Agents OLAP Data Mining Data Mining Knowledge Management Knowledge Management Database Management Functions Data Mart Other Business Applications Operational Database Analytical Database Knowledge Base DSS What-If Models Sensitivity Models Goal-Seeking Models Optimization Models Internet Intranet Extranet

115 Artificial Intelligence Applications Cognitive Science Applications Cognitive Science Applications Artificial Intelligence Artificial Intelligence Robotics Applications Robotics Applications Natural Interface Applications Natural Interface Applications Expert Systems Fuzzy Logic Genetic Algorithms Neural Networks Visual Perceptions Locomotion Navigation Tactility Natural Language Speech Recognition Multisensory Interface Virtual Reality

116 AI Application Areas in Business Neural Networks Fuzzy Logic Systems Virtual Reality Expert Systems AI Application Areas in Business AI Application Areas in Business Intelligent Agents Genetic Algorithms

117 Components of Expert Systems The Expert System Knowledge Base User Workstation Expert Advice User Interface Programs User Interface Programs Inference Engine Program Inference Engine Program Expert System Development Workstation Knowledge Engineering Knowledge Acquisition Program Knowledge Acquisition Program Expert and/or Knowledge Engineer

118 Expert System Applications Decision Management Diagnostic/Troubleshooting Maintenance/Scheduling Design/Configuration Selection/Classification Major Application Categories of Expert Systems Process Monitoring/Control

119 Summary n DSS in business are changing. The growth of corporate intranets, extranets, and other web technologies have increased the demand for a variety of personalized, proactive, web-enabled analytical techniques to support DSS. n Information systems must support a variety of management decision-making levels and decisions. These include the three levels of management activity: strategic, tactical, and operational.

120 Summary (cont) n Online analytical processing is used to analyze complex relationships among large amounts of data stored in multidimensional databases. Data mining analyzes large stores of historical data contained in data warehouses. n Decision support systems are interactive computer-based information systems that use DSS software and a model base to provide information to support semi-structured and unstructured decision making.

121 Summary (cont) n The major application domains in artificial intelligence include a variety of applications in cognitive sciences, robotics, and natural interfaces. n Major AI application areas include: –Neural Networks –Fuzzy Logic –Genetic Algorithms –Virtual Reality –Intelligent Agents

122 References n Efraim Turban & Jay E. Aronson Decision Support Systems and Intelligent Systems Prentice Hall, Upper Saddle River, NJ (1998)


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