Planalyzer-2 is an advanced software tool for express quantitative analysis and day-to-day schedule/WBS management of risky industrial projects. It also improves new schedule-cost applications (such as JCL) and assesses lower-risk projects (Government, oil/gas etc.) on file-specific basis.

Projects are rarely executed as planned, and accurate prediction of their costs and durations is still challenging. Conventional "historical" modeling mandatory for many Government entities and successfully applied to large defense, oil/gas and similar projects, is impractical for dynamic analysis of high-risk competitive edge industrial projects. Planalyzer-2 offers a new execution model adequately portraying this stage as evolution of negatively correlated elements in which any activity variation is compensated by variations of other activities to keep the planned milestone date unchanged. This new model creates risk mitigation plans overwhelmingly more quickly and objectively than the existing labor-loaded and subjective routine. The new model calculates milestone uncertainties and risks directly from the project file, the example is presented by a table below:

Ibico's Planalyzer-2

	vPlanalyzer-2 analyzes Microsoft Project schedules and Microsoft Excel Work Breakdown Structures (WBS).
	Calculates probability density and cumulative probability (S-curve) of major milestones and WBS "Totals".
	Calculates milestone's "Tornado Charts".
	Compares milestone or WBS "Total" S-curves calculated without user input ("Schedule Risk") with S-curves based on user's estimate of task CoV (Coefficient of Variation) and Risk Register filled by user.
	Completes project analysis in several minutes (or several hours, if the project is very large, over 10,000 tasks or WBS elements).

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Customer Service

If you are experiencing a problem with our products or have questions how to interpret results, email us at support@ibico-cor.com

Tutorials and Tips

Planalyzer Tutorial describes product algorithm and major features; the users familiar with conventional "historical" approach and interested in the alternative method of analysis may download the software and test the example "Satellite" project. Those who are more interested in the specifics of risky project analysis and the new algorithm, might read the Tutorial first.