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END USER COMPUTING Critical Issues

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END USER COMPUTING. Critical Issues. Key Issues in IS Management Neiderman, Brancheau, Wetherbe, MISQ, 1991(Gray, et. al.). Developing an information architecture Making effective use of data Improving IS strategic planning Recruiting, and developing human resources - PowerPoint PPT Presentation

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Page 1: END USER COMPUTING

END USER COMPUTING

Critical Issues

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Key Issues in IS ManagementNeiderman, Brancheau, Wetherbe, MISQ, 1991(Gray, et. al.)

Developing an information architecture Making effective use of data Improving IS strategic planning Recruiting, and developing human resources Facilitating organizational learning and use of IS Building a responsive IT infrastructure Aligning IS with the enterprise Using IS for competitive advantage Improving the quality of software development Developing telecommunications systems

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Types of Information Systems Sprague & Watson, DSS for Management, Prentice Hall, 1996

Type I (Procedure)High volumeLow transaction costWell structuredMeasurableProcess & efficiencyDataClerical

Type II (Goal)Low volumeHigh trans. valuePoorly structuredHard to measureGoal & effectivenessConceptsMgrs, professionals

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IS Development Approaches

Systems Development Life CycleInformation Center (DSS)Object and Component

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Type ILarge SystemsIntercommunications among

applicationsFormal methodologiesCASE technologiesPurchased productsOutsourcing

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Type ISDLC Type I systemsLarge and CostlyCost justifiedFormal stages of evaluationStages carefully reviewed and

formally approvedData, Process, Communications

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Type IIInformation Center (DSS)Type II systemsRelatively small and inexpensiveValue justifiedPrototyping and evolutionary designData, Dialog, Model

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End User Computing (EUC)

End User Computing refers to systems in which the user does some of the programming. Arises from:

Capacity of ComputersCost of HardwareFriendly SoftwareData Communications

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EUC Issues

Data extraction (warehouses) and availability

System design and developmentManagement and controlNew technologies:

EIS, GDSS and Artificial Intelligence, Expert Systems and Groupware

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Prototyping & Iterative DesignDataTrial SolutionUser ExperimentationRevised Solution

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Object Oriented(Event Driven)User ownedSmall and experimentalDialog driven, reusable codeCombines data and process

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Object Issues

Reliability of tools and softwareDesign methodologiesStandards and portabilityExtent of value

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Type I Design

Systems Development Life Cycle: Formal development of systems in progressively detailed stages

Initial investigationFeasibilityGeneral designDetailed designImplementationMaintenance

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Type I Design:

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Type II Design

DATA MODEL

DIALOG

USER

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Development Roles

UserIntermediary (Chauffeur)BuilderTechnical SupportToolsmith

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Design Philosophy

Functional EntityDialogueEvent

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Distributed Management

Business within a businessIS internal partnershipsVirtual organizationsOutsourcing and consultantsPersonnel management

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Ownership

Data

Process

IS Owned User Owned

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Information Access:IT User Partnership