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Business Analytics Suite™

Designed for professional business modelers, Vanguard's Business Analytics Suite merges Decision Analysis,
Time-series Forecasting,
Monte Carlo Simulation, and
Optimization into an integrated package.

Decision Support

Monte Carlo Simulation

Modeling and Simulation

Why Vanguard Business Analytics Suite?

The Vanguard Business Analytics Suite™ provides the greatest level of analytics capability among single-user desktop applications.

Studio's decision tree interface makes a model's function easy to understand.

From Data to Decisions

By adding Optimization to Forecasting and Simulation capabilities, the Business Analytics Suite gives you a level of capability that is unmatched in any software. The primary reason for building a forecast model is to allow you to test competing business plans and chose the best one. However, this can involve a significant amount of manual what-if analysis. Using the Stochastic Optimizer, the Business Analytics Suite can automatically exercise your forecast models to find the best business plan. This will allow you to find solutions that are often impossible to find with any other application.

Enterprise-scale Capacity

The Business Analytics Suite (and the Vanguard System in general) gives you the ability to build enterprise-scale models. Spreadsheets, the most popular tool for business planning, are suitable for basic business modeling, but suffers from an inability to scale efficiently as your models grow in complexity. If you have ever tried to build a very complex spreadsheet model, you will appreciate how the difficulty of managing the model grows exponentially with the model size. At some point, you hit the Wall--a point at which it is no longer practical to improve or maintain the model.

The Business Analytics Suite uses hierarchy, object-oriented modeling principals, and a rich graphical interface to make it possible for models to grow without the exponential explosion in complexity. The result is that models are much easier to build, maintain, and keep free of errors.

The architecture for building massive models is only one of the key requirements for enterprise-scale modeling. Moving from a simple, point-forecast model to a Monte Carlo simulation increases the computational complexity 1,000 times. Spreadsheets can handle moderately-sized Monte Carlo simulations, but this is the limit of their capabilities. The good stuff begins when you move to Portfolio Modeling, where the computational complexity is 10,000 times that of a point forecast, and when you move to Optimization, where the complexity can increase to 100,000,000 times that of a point forecast.

To handle massively complex models, Vanguard supports Grid computing. Using an inexpensive network of existing computers, you can put true supercomputing power on your desktop and handle problems of almost limitless size. Vanguard is the only commercial software that has this capability.

Questions?

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