A Roundtable Discussion on Predictability in ERP Projects
Achieving operational excellence through an ERP implementation hinges on factors like metric design and predictability. Definition and measurement of metrics and estimation of effort for ERP implementations, while being imperative, are not governed by any industry standards. Given this scenario intensified by a downturn, the focus on achieving predictability and operational efficiency at every level is vital.
Project metrics like cost, schedule and effort can be assessed accurately only when effective estimation techniques have been employed. Commonly used techniques such as Lines of Code (LOC) and Function Points (FP) do not address all the issues involved in generating consistent and repeatable software size estimates.
Our experts address these issues and discuss estimation methods that could help organizations significantly reduce costs and implementation timelines while increasing operational efficiency.
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Improving Package Implementation Estimates Using Package Points
Package Points ensure consistent and scientific estimates by incorporating the elements that affect the size of an ERP implementation.
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Are you Still Using Function Points for Estimating the Size of a Package Implementation?
Package Points not only differentiate between the efforts for configuration and custom development but also estimate the size of partial implementations.
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Earned Value Management for ERP Implementations
Earned Value Analysis is an effective tool to measure the performance of ERP packages.
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How Quickly Can Oracle's PeopleSoft be Implemented?
Strategic and project tracks help minimize the time, cost and efforts in ERP implementation projects.
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Is Perfect Estimation Achievable?
An understanding of the parameters that influence project estimates will help avoid time and cost overrun.
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Operational Excellence Metrics - Implementation Considerations
Our expert discusses the factors to be considered while designing metrics for operational excellence.
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Learn more about Infosys' Package Points methodology