CUSTOM DECISION SUPPORT MODELS

WHAT WE DO

We create customized simulation and decision models to help you make better and more informed decisions.

WHY WE DO IT

Most business decision tools (e.g., in Excel) are opaque, difficult to extend or modify, and highly error prone. They are simply not up to the task of aiding good decision making on complex issues.

HOW WE DO IT

We are experts in the Analytica® modeling platform, which is light-years ahead of other approaches. We create powerful, modular, flexible models that are user friendly, integrate with legacy data sets, and facilitate scenario and uncertainty analysis.

“Everything that's wrong with the common spreadsheet is fixed in Analytica.”

— PC Week

KEY FEATURES

User-friendly and customized graphical user interfaces

Transparent, visual, icon- based navigation and logic flow

Rapid scenario analysis on any model input parameter

Risk and uncertainty analysis with integrated Monte Carlo simulation

Dynamic simulation over time, incorporating stocks, flows, and feedback

Integration with legacy data (Excel, databases) and import/export ability

Modular, flexible, and extensible -- permitting rapid response to evolving needs

Accessibility by users, reviewers, or stakeholders via online cloud model player

CUSTOMIZED GRAPHICAL USER INTERFACES

You will have access to all model inputs, outputs, and logic through a user-friendly graphical user interface (GUI).

VISUAL, TRANSPARENT LOGIC DIAGRAMS

Easily trace and understand all model logic through icon-based visual influence diagrams (Image Source: Online Model - Click Image to Access).

FLEXIBLE SCENARIO ANALYSIS

Scenario analysis is a snap in the models we deliver. You just add a list of inputs for any scenario parameter, instead a single value, and the added dimension automatically propagates through every downstream variable, chart, and table. Nifty!

OPTIMIZATION

We can incorporate 1, 100, or 1000s of linear or nonlinear optimizations into a single modeling tool. We can utilize a wide range of solver engines, depending on the nature of the problem (e.g., linear, mixed integer, nonlinear).

Welch, C. "Making the Case for Using Analytica for System Dynamics Modeling: A Reference Guide and Comparison with Classical Platforms." International System Dynamics Conference. Cambridge, MA. July 2017.

RISK AND UNCERTAINTY ANALYSIS

Address uncertainty and risk using probability distributions, rather than point estimates. Monte Carlo simulation capability is inherent to the platform, and readily incorporated into any model we develop.

Welch, C. "Making the Case for Using Analytica for System Dynamics Modeling: A Reference Guide and Comparison with Classical Platforms." International System Dynamics Conference. Cambridge, MA. July 2017.
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