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Software Status:Active

About Full Monte

Full Monte is a schedule risk analysis software from Barbecana that supports project delivery success. It combines tutorials and other documents, support and version information, and free trial downloads so users can effectively manage their project risks. The software also provides options to purchase Full Monte SRA and download software updates. Full Monte is designed to be user-friendly, ensuring that project managers can easily access resources and updates needed for comprehensive risk analysis. Key capabilities: schedule risk assessment documentation support software update downloads purchasing options free trial access Best for: project managers that need to analyze and mitigate schedule risks in their projects.

Full Monte Details

Vendor
Barbecana
Year Launched
2006
Location
6136 Frisco Square Blvd. Ste 400 Frisco, TX 75034
Deployment
on premise, windows
Training Options
documentation
Countries Served
All Countries
Languages
English
Users
Risk Analysts, Financial Analysts, Portfolio Managers, Compliance Officers, Traders, Chief Risk Officers, Quantitative Analysts
Industries Served
Financial Services, Investment Management, Consulting
Tags
Financial Risk Management, Monte Carlo Simulation, Portfolio Optimization, Investment Analysis, Full Monte, Barbecana.

Full Monte's In-App Market Place

Does Full Monte have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

1

Mini Apps

N/A

Pricing Options

Free trial
Free version
Request a quote
Promo Offer

Accepted Payment Currencies

USD ($)

Pros & Cons

  • Provides probabilistic project schedules that improve accuracy over traditional CPM methods.
  • Quickly identifies all potential critical paths, helping prioritize management focus.
  • Sensitivity analysis highlights tasks that contribute most to schedule uncertainty.
  • Accounts for merge bias, improving reliability of start and finish date predictions.
  • Evaluates every activity and milestone, ensuring comprehensive risk assessment.
  • Requires familiarity with Monte Carlo simulation concepts for proper interpretation.
  • May be computationally intensive for very large or complex project schedules.
  • Advanced features like sensitivity analysis might overwhelm novice users.
  • Probabilistic results may be difficult to explain to stakeholders used to fixed schedules.
  • Limited to Microsoft Project and Primavera P6, restricting use with other scheduling tools.

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