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Lecture 19 Chapter 10  A Portfolio Approach to Managing IT Projects

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    Lecture 19

    Chapter 10

    A Portfolio Approach to ManagingIT Projects

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    IT Disasters are still common

    Companies fail to realize risk of project Multiple projects lead to larger aggregate risk

    Different projects require different management

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    Sources of Implementation Risk

    Project Size Experience with Technology

    Requirements Volatility

    See fig 10.1

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    Fig 10.1 Effect of Adding Risk Factors

    on Project Risk

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    Project Categories and Degree of Risk

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    Risk Assessment

    Figure 10.3 Risk profile questionnaire Higher risk score, higher management approval

    required

    Repeated several times throughout project Different perspectives on risk expectation can

    lead to disaster

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    Project Implementation Dip

    Most projects dont go smoothly all the way New system going live common point

    Expectations not always realistic

    Short term downward shift may be necessary

    All happens in middle of business cycle and

    worker turnover

    Need to focus on end goal to get through value

    of change when people are complaining

    Ideally see it before it comes and get people

    ready

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    Fig 10.4 Expectations vs. reality

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    Portfolio Risk

    Multiple projects can add or reduce risk Low-risk not always good

    All high-risk is vulnerable

    Identify risks in all projects, then considercombined portfolio of risks

    See fig 10.5

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    Fig 10.5 Risk and Return Distribution

    for Portfolio of Projects

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    Project Management

    No single correct plan Management Tools

    External integration tools

    Internal integration tools Formal planning tools

    Formal result controls

    See table 10.1: Tools for project management

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    Influences on Tool Selection

    Low requirements volatility/low tech projects Easy to manage

    Least common

    PERT (program evaluation review technique)

    CPM (critical path method)

    Low requirements volatility/high tech projects

    Difficult to manage

    Eg. Converting mainframe system, developing web access Outputs well defined

    Technical complexity drives characteristics of successful

    manager

    Formal planning not likely to add as much value

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    Influences on Tool Selection (ctd)

    High requirements volatility/low tech projects Involve users in design, development and implementation

    Develop user support

    Formal planning and control tools help

    Close, aggressive management of external integration

    Leadership from management not technologists

    High Requirements Volatility/high-tech projects

    Managers need technical expertise Ill-defined projects common

    Formal tools useful once clarity is reached in direction

    Cross effects of different factors becomes important

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    Project Management

    Relative Contribution of Management Tools Depends on specific project Results-oriented tools work in structured/formal environment

    Depends on corporate culture

    Emergence of Adaptive Project Management Methods Approaches to design, deployment, implementation and

    investment that assume a need to gather information andlearn as one goes.

    Not really effective universal methods yet

    Software Development Life Cycles SDLC breaks down development into stages: Analysis and design

    Construction

    Implementation

    Operation and maintenance

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    Project Management (ctd.)

    Adaptive Methodologies Quickly build rough preliminary version

    Iterate through stages rather than finish every stage

    Fast cycle through stages

    Aim to deliver limited functionality fast

    Require skilled staff

    Adaptive Methods and change management

    Intensely involve users in evaluating outcomes Strictly control migration of system features from

    development, testing to production

    Separating stages avoids major problems

    P C i t d A ilit i

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    Process Consistency and Agility in

    Project Management

    Balancing tension between process consistency andprocess agility

    Tools useful one place shouldnt necessarily beapplied to everything

    Success in balance often includes minimalformalization

    Flow Understand interrelationships between projects

    Completeness Keeping track of all tasks in project

    Visibility Getting info on status of rest of project

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    Survey