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If you are using Monte Carlo simulation in your
modeling efforts, you are among a rare group of
individuals who demand sophisticated models. Do your
tools reflect the same level of sophistication? The
Vanguard System is a modeling and simulation platform
designed for professionals like you.
Programming, Excel, or Vanguard
In building Monte Carlo simulation models, you have
three basic options:
- build your models from scratch using a
programming language such as C or Pascal;
- use a spreadsheet with a Monte Carlo simulation
add-in; or
- use Vanguard Business Analytics Suite.
Building your models from scratch allows you to create
high-performance models, but the development cost can be
prohibitive and the resulting models are difficult to
update. Using a spreadsheet makes building models easier,
but performance is limited.
Vanguard offers the best of both worlds. It is as easy
to use as a spreadsheet, but can handle models hundreds
of times as large and run simulations thousands
of times as fast. What's more, Vanguard provides
a structured modeling environment that makes it possible
for many people to collaborate on large modeling efforts.
Vanguard's combination of speed, capacity,
and accuracy make it unmatched in its
ability to handle enterprise-scale models.
Simulation Speed
A single computer running Vanguard can perform a Monte
Carlo simulation 10 to 100 times as fast as Excel. This
performance is on par with custom programmed models.
However, we didn't stop there. Vanguard also supports Grid
Computing, which allows you to use a network of
computers to perform simulations thousands of times
faster than a spreadsheet. Setting up a computer grid is
as simple as permissioning Vanguard to use spare CPU
cycles on your colleagues computers. This gives each
individual in your workgroup supercomputing power without
a supercomputing budget.
Model Capacity
Imagine you could link together all of the individual
spreadsheet models you have built in the past to create
an enterprise model. This would allow you to understand
how risks in one project area can be affected by other
projects; or, to anticipate problems caused when
different projects compete for the same resources. Portfolio
modeling requires a level of capacity that is
not present in spreadsheets and it requires an
architecture that allows you to link together models
built by different people using different time frames,
different currencies, different units of measure, etc.
Vanguard makes this possible through its component-based,
collaborative modeling infrastructure.
With Vanguard, the complexity of
your models scales linearly with model size. This makes
portfolio modeling and optimization possible.
Model Accuracy
A model is useful only if it is free of errors. This
becomes increasingly difficult as models grow in size.
Vanguard uses hierarchy, object-oriented
design principals, and a visual model
layout to help you build large-scale models
without errors.
Studio's graphical interface makes
a model's function easy to understand.
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