Businesses constantly need to assess future trends based on historical data. The problem is that, on the one hand, there are too many variables to evaluate while, on the other hand, there are often too little, data and some of the data are missing. Given that all data have a random, unpredictable component, the estimates of future trends then become quite uncertain, often no more than wild guesses. The Algebron technology overcomes this difficulty by providing the most secure predictions possible with the available data. Businesses can therefore make the most reliable decision possible in critical areas such as:

• Risk Management
• Financial Forecasting
• Marketing
• Inventory Control

Algebron processing determines the most robust and reliable correlations in the historical data, allowing these correlations to be used in forecasting future trends and volatilities. Predictions, which are confused by wild statistical fluctuations when based on standard evaluations of correlations, become robust and clear trends when based on Algebron computing.

With the aid of the Algebron Method, businesses can now transform even meager historical data into actionable information.