Monte Carlo analysis:

Predict! bid risk analysis

It’s a risk. Or is it? I’m definitely not certain!

Posted 09 August 2016 | 0 Comments

One thing is true. Life isn’t 100% predictable. This includes everything from the sequence of events that gets you to work on time, to the expected cost and duration of work to deliver a project’s objectives. I’ll share a recent... Read More

Risk Decisions

Confident in your contract bids?

Posted 29 April 2016 | 0 Comments

Project/programme managers and contractors who want to satisfy customer demands for cost and schedule analysis – we can get you to where you need to be in 3 easy steps: Software Training Bid support Introductory offer: £3,000 What will I... Read More

Predict! schedule risk analysis SRA

Quality schedules. Better analysis results for decision-making

Posted 12 April 2016 | 0 Comments

A robust schedule is key to effective schedule risk analysis. This article offers simple guidance on using Predict! Risk Analyser to establish more reliable results from schedule risk analysis (SRA) by enhancing the quality of your schedule. This will in... Read More

From APM Risk SIG ‘The Value of quantitative risk analysis’ conference 2016

Posted 24 February 2016 | 0 Comments

Most project based organisations that use some form of QRA do so to calculate confidence and contingency during business case preparation and the competitive tendering stage of their projects. However, few use QRA to its full extent throughout the project... Read More

Bidding and winning bids

Over Promising, Under Delivery, Why Your Approach to Bidding Could be Killing Your Business

Posted 21 June 2015 | 0 Comments

The pressure to reduce construction project costs is intense, and this creates a very challenging bidding environment. Commit to an ambitious schedule and you could face a costly overrun, bid too high and you could lose business altogether. The trend... Read More

Risk Decisions

Improving Project and Business Confidence

Posted 22 April 2012 | 0 Comments

Monte Carlo simulation uses repeated random sampling to calculate results about physical and mathematical systems. It uses uncertainty in its inputs to generate a range of possible outcomes, which are then reported as results with a degree of mathematical confidence. The method... Read More

risk management in life sciences

Mature Approach to Risk Management in Life Sciences

Posted 22 February 2012 | 0 Comments

In an increasingly competitive and cost-sensitive environment, CROs need to be better informed on how risky a particular bid price might be (the probability of making a profit or loss). As well as the confidence of achieving milestones. Or risk... Read More