Indiana University
Time: 3:18
“@RISK might have changed history.”
Suncor Energy
Time: 2:36
“We require Monte Carlo simulation on all major projects.”
AXA Re
Time: 2:20
“@RISK is very important in our process.”
Chase Cooper
Time: 3:38
“Modeling is extremely simple in the new version [of @RISK].”
Pareto Solutions
Time: 3:20
“[@RISK] lets me simulate long range events.”
Hubbard Decision Research
Time: 00:35
“Fact is, most big decisions are risky decisions with uncertainty…”
Consulting with Impact, Ltd.
Time: 1:03
“I use @RISK in developing current state and future state for my clients.”
British Columbia Hydro and Power Authority
Time: 3:42
“We use [@RISK] for is assessing uncertainty in our load forecast.”
Santee Cooper
Time: 3:04
“The main thing we’ve used [@RISK] for is asset retirement obligation.”
Keyspan Energy
Time: 02:14
“The ability to reduce steps is of great interest to me.”
Triangle Economic Research
Time: 2:40
“What I really like is the power of the tools. I find them easy to use… They’ve got great graphics for communicating results to clients.”
Monmouth University/Columbia University
Time: 2:14
“Students that go into financing or investment banking take @RISK with them.”
TIS.PT
Time: 1:52
“We use @RISK to evaluate the expected variation of our forecast.”
Norwegian Computing Center
Time: 03:15
“We were consciously looking for commercial tools to improve the work flow and @RISK was one of them.”
Halcrow Group Ltd.
Time: 1:45
“We use [@RISK] across the board in a lot of engineering applications..”
Indiana University
Time: 3:18
“@RISK might have changed history.”
Monmouth University/Columbia University
Time: 2:14
“Students that go into financing or investment banking take @RISK with them.”
Monmouth University/Columbia University
Time: 3:09
“RISKOptimizer makes the course much more realistic and gives the students a much better handle on inventory management.”
Pontificial Catholic University of Valparaíso
Time: 1:42
“I found out that my students [can] understand a very complex concept through very beautiful and easy to model graphs.”
Managing uncertainty in project schedules has never been easier thanks to DecisionTools Suite’s newest feature, ScheduleRiskAnalysis (SRA). SRA lets you perform risk analysis using Monte Carlo simulation on scheduling models created in Microsoft Project or Oracle Primavera P6, all within Microsoft Excel. By conducting risk analysis, you can figure out when projects might miss deadlines […]