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Southern California Software Process Improvement Network | ||||
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| Friday, December 02, 2005 Meeting Topic:Pertmaster's Risk Management Solution Presenters: Dan Patterson Abstract This presentation discusses in detail how Pertmaster's Risk Management solution is used within a project environment to help better manage and control today's complex projects. Successfully controlling project cost is a science unto itself and a highly sought after project management skill. Add to this the complexity of risk and uncertainty and the situation only becomes even more involved. Miscalculate cost estimates at the bidding phase and you run the risk of entering into a loss-making venture. Mismanage cost overruns due to uncertainty during the execution of the project and “the best laid plans fall to the wayside…”. This paper examines how Pertmaster can reduce exposure to project cost risk throughout the project lifecycle using a combination of a high level cost estimate analysis and a detailed schedule-based cost risk analysis. Additionally, contingency and management reserve is discussed. Pertmaster's unique integrated qualitative (risk register) and quantitative (Monte Carlo Analysis) risk management solution is demonstrated working with MS Project and Primavera schedules through various examples. Your Presenter: Dan Patterson is V.P. of North America operations for Pertmaster – a global leader in project risk management. Dan has over twelve years of project management experience and is an expert in IT product development, specifically in the field of project portfolio management. A thought leader in the field of project risk management, Dan has published numerous papers and materials on the topic. Before joining Pertmaster, Dan was responsible for the overall development and product marketing of web-based project management applications for Welcom, a renowned project management software company in the US . Other areas of expertise and interest include construction management, project collaboration, and the use of Artificial Intelligence (AI) for planning and control. Dan lives in Houston TX , is a certified PMI PMP and holds a PhD in Civil Engineering from the University of Nottingham, UK. If you wish to receive email flyers of future meetings please send a blank email, with a subject line of "subscribe" to: spin@uces.csulb.edu SoCal
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