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Predict

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Software Status:Active

About Predict

Predict is a risk management software from Risk Decisions that supports organizations in assessing project uncertainties. It provides quantitative risk analysis, scenario modeling, and sensitivity analysis so decision-makers can understand potential risks and impacts on projects. This software allows users to simulate various project outcomes and evaluate the probability of achieving objectives under different scenarios. With an intuitive interface, users can easily visualize risk data and trends to make informed decisions. Key capabilities: quantitative risk analysis scenario modeling sensitivity analysis risk reporting integrated dashboard Best for: project managers and risk analysts that need to identify and quantify potential risks in projects.

Predict Details

Vendor
Risk Decisions
Year Launched
1985
Location
Oxford, Oxfordshire
Deployment
cloud, on premise, windows
Training Options
documentation, videos, live online, in person
Countries Served
All Countries
Languages
English, Spanish
Users
Project Managers, Risk Professionals, Decision-Makers
Industries Served
Infrastructure, Defense, Utilities, Government
Tags
Risk Management Software

Predict's In-App Market Place

Does Predict 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 ($), Eur (€), Gbp (£), Jpy (¥), Aud (A$), Cad (C$)

Pros & Cons

  • Proactive risk management: Predict! allows for a more proactive approach to identifying and addressing potential risks.
  • Informed decision making: The tool provides valuable insights that empower leadership to make data-driven decisions.
  • Improved financial performance: The implementation of Predict! has led to a tangible increase in gross margins.
  • Implementation challenges: The review doesn't mention any difficulties during the implementation process. However, it's possible that there were challenges that were overcome.
  • Data quality dependence: The effectiveness of Predict! likely relies on the quality and completeness of the data inputted into the system.
  • Cost-benefit analysis: While the review mentions increased gross margins, a more detailed analysis of the overall cost of implementing and maintaining Predict! compared to the financial benefits would be necessary for a complete evaluation.

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