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Computer Concepts 2014
Chapter 10Information Systems Analysis and Design
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10 Chapter Contents Section A: Information Systems Section B: Systems Analysis Section C: System Design Section D: Implementation and Maintenance Section E: Corporate Data Security
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10 Section A: Information Systems
Information Systems in Organizations Transaction Processing Systems Management Information Systems Decision Support Systems Expert Systems and Neural Networks
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10 Information Systems in Organizations
An information system collects, stores, and processes data to provide useful, accurate, and timely information
An organization is a group of people working together to accomplish a goalBusinessNonprofit organizationMission
Mission statement
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Organizational charts depict the hierarchy of information; e.g. bureaucracy
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Information Systems in Organizations
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Information systems can:Automate routine tasksMake decisions in response to problems
Structured problemSemi-structured problemUnstructured problem
Collect and store internal or external information
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Information Systems in Organizations
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10 Problem Types
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10 Transaction Processing Systems
Provide a way to collect, process, store, display, modify, or cancel transactionsPayroll, accounting, airline reservations, inventory, point
of sale and cellular phone billing
Batch processing vs. online processingOLTP system
Commit or rollback strategy
Detail reports
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10 Transaction Processing Systems
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10 Management Information Systems
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10 Management Information Systems
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10 Decision Support Systems Helps people make decisions by directly
manipulating data, analyzing data from external sources, generating statistical projections, and creating data models of various scenariosExecutive information system
DSSs design decision models and make decision queries
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10 Decision Support Systems
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10 Expert Systems and Neural Networks
Expert systems are designed to analyze data and produce a recommendation, diagnosis, or decision based on a set of facts and rulesKnowledge base
Inference engineKnowledge engineering
Expert system shellFuzzy logic
Neural networks use computer circuitry to simulate how a brain may process info, learn, and remember
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10 Expert Systems and Neural Networks
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10 Section B: Systems Analysis System Development Life Cycle Planning Phase Analysis Phase Documentation Tools
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10 System Development Life Cycle
Systems analysis and design is a discipline that focuses on developing information systems according to the phases of an SDLC
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10 Planning Phase Assemble the project team Justify the project Choose a development methodology Develop a project schedule Produce a Project Development Plan
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10 Planning Phase
Justification for new system serious problem with the current system, a threat to the organization’s success, an opportunity to improve an organization’s products or
services through technology
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10 Planning Phase An organization must be able to:
Make improvementsChange the industryCreate new products
The PIECES framework helps classify problems in an information system
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10 Planning Phase Development methodologies
Structured methodology Information engineering methodologyObject-oriented methodology
PERT (Program Evaluation and Review Technique) WBS (Work Breakdown Structure) Gantt chart
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10 Planning Phase
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10 Analysis Phase Produce a list of requirements for a new or revised
information system Analysis phase activities:
Study the current systemDetermine system requirementsWrite System Requirements Report
System requirements are the criteria for successfully solving problems identified in an information systemSuccess factors
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10 Documentation Tools The core documentation tool for project teams using
structured methodology is the data flow diagram (DFD)External entityData storeProcessData flow
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10 Documentation Tools
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10 Section C: System Design Design Phase Evaluation and Selection Application Specifications
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10 Design Phase How the new system
will fulfill the requirements specified in the System Requirements Report
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10 Design Phase The project team has to consider the overall
architecture based on:Level of automationProcessing methodology
Centralized processingDistributed processing
Network technology
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10 Design Phase Software alternatives
Programming toolsApplication development
toolsApplication softwareTurnkey systems
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10 Evaluation and Selection
A request for proposal (RFP) describes The problem and the requirements for the solution
A request for quotation (RFQ) Request for a formal price quotation on a list of
hardware and software
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10 Application Specifications
Describe the way the information system’s software should interact with users, store data, process data, and format reports
Feature creep refers to the failure to constrain change Changes should be managed formally, including
written change requests
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10 Section D: Implementation and Maintenance
Implementation Phase Development and Testing Documentation and Training Conversion and Cutover Maintenance Phase
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10 Implementation Phase Construct the new
information system
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10 Development and Testing
Software customization process of modifying a commercial application to
reflect an organization’s needs
Application testing is performed in three ways:Unit testing Integration testing
Test area
System testing
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10 Development and Testing
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10 Documentation and Training System documentation
Describes a system’s features, hardware architecture, and programming
User documentationDescribes how to interact with the system to accomplish
specific tasksProcedure handbook
Contains step-by-step instructions for performing specific tasks
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10 Conversion and Cutover System conversion
Deactivating an old information system and activating a new one
Several conversion strategies:Direct conversionParallel conversionPhased conversionPilot conversion
Acceptance testing is designed to verify that the new information system works as required
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10 Maintenance Phase Involves day-to-day
operation of the system, making modifications to improve performance, and correcting problems
The term quality of service (QoS) refers to the level of performance a computer system provides
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10 Maintenance Phase Maintenance phase costs
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10 Section E: Corporate Data Security
Information System Data Vulnerabilities Information System Data Security Corporate Identity Theft
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10 Information System Data Vulnerabilities
Threats to a corporate information system can affect thousands of peopleNatural disastersPower outagesEquipment failuresHuman errorsSoftware failuresSecurity breachesActs of warMalware
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10 Information System Data Security
No computer system can be completely risk-free, but several proactive measures can protect information systems from threatsDeterrentsPreventative countermeasuresCorrective proceduresDetection activities
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10 Information System Data Security
A data center is a specialized facility designed to hold and protect computer systems and data
A disaster recovery plan is a step-by-step plan that describes the methods used to secure data against disaster and sets guidelines for how an organization will recover lost data if and when a disaster occurs
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10 Corporate Identity Theft When a company’s brand is used without
authorization, the company has become a victim of identity theft
For example, phishing scams and fake Web sites
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10 Corporate Identity Theft Guidelines help corporations deal with identity theft
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Computer Concepts 2014
Chapter 10 Complete