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We are the next frontier in Corporate Performance Management and Business Intelligence–Dynamic Enterprise Simulation™–holistic, robust, customized and statistically reliable analytical models for the enterprise.
As pioneers of Dynamic Enterprise Simulation™ we are paving the way for businesses to establish a framework for consistent understanding of enterprise complexity while gaining the mathematical blueprint for optimizing performance.
Simply, we decode and map the enterprise and make the data of the business systems available to customized math and learning models.

The Case for Dynamic Enterprise Simulation
Whether you have fusion and integration challenges, difficulty accurately predicting your IBNR (incurred by not recorded) expenses, increased cost due to misallocation or distribution of inventory—all of these problems can be solved through Dynamic Enterprise Simulation™ (DES)—resulting in earnings improvements.

A scientific approach. Whether you are thinking about laying off people, eliminating overtime, or arbitraging a price curve… In today’s environment, there are many opportunities within your company to improve earnings once you have a dynamic and customized model of the causal relationships in your enterprise.

Science v. Gut. If you are like most businesses, you wing the outcome of day to day decisions. While you may have some processes modeled and optimized and you likely use spreadsheet modeling when contemplating a new business line, the daily operations of the business are largely a function of experience and a gut sense for what the outcome will be. While this can work in smaller enterprises, this becomes much more difficult in larger more complex businesses. And, while analytics may be in fashion, they are no fad. This is the next step in the evolutionary development of scientific management. It is no surprise that we use analytics to help guide the space shuttle through the orbital return path to safely return to earth and why there are many analytics models—including auto-pilot—to reduce errors in modern air travel. Now, these same tools can help make precision possible through the fusion of math modeling and system integration to enhance business management.

Now, instead of the guess work involved in predicting next year’s or next quarter’s revenue and earnings projections, management is able to gain statistically reliable projections. And, while most businesses have a slow rear view mirror with meaningful latency between actionable information and the timing of when action is required or expected, DES helps you shorten and eventually eliminate this gap and allows you to understand with a high degree of confidence business performance at the speed of business activity.

Further, DES helps organizations gain understanding and reduce volatility (variability). We know that value is affected by volatility and opacity and businesses receive a value premium for lower volatility, less complexity, and greater transparency of earnings and their causal links.

DES makes possible a full understanding of the business organism, including the causal relationship set that is so important to achieving desired results.