Author: Eric Torkia/Friday, May 4, 2012/Categories: Monte-Carlo Modeling, Analytics Articles
It is a well-known fact that many projects fail to meet some or all of their objectives because some risks were either: underestimated, not quantified or unaccounted for. It is the objective of every project manager and risk analysis to ensure that the project that is delivered is the one that was expected. With the right know-how and the right tools, this can easily be achieved on projects of almost any size. We are going to present a quick primer on project risk analysis and how it can positively impact the bottom line. We are also going to show you how Primavera Risk Analysis can quickly identify risks and performance drivers that if managed correctly will enable organizations to meet or exceed project delivery expectations.
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Averages vs. Range Estimates
Challenges and opportunities that risk analysis and simulation address?
How to make better decisions with risk information
More than 50% of projects fail to meet EXPECTATIONS!
Why are so many projects challenged?
The cost of challenged projects
How can we break the 50% barrier?
Other barrier crashing opportunities
Introduction to the concepts of Monte-Carlo Simulation
How does simulation fit in with the business?
Enhancing the modeling process with simulation and optimization
Quick walkthrough of Primavera Risk Analysis
Run a quick simulation using different dimensions and discuss results
Questions and Answer Period
I would like to thank the people at Oracle Primavera for arranging the webinar as well as their continued support and availability to answer our questions as well as provide insight.
If you have any questions or comments, please don't hesitate to drop me a line at 1-888-879-8440 x101 or send me a note at [email protected].
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