Data Mining & Predictive Modeling Options
 
We can take your customer database and generate up to 20 TIMES the money you grossed in sales using our software!

Our software uncovers Patterns in how each customer behaves. Having identified the Pattern, it can give you an indication of the probability of customer behaviour. Our software uses several hundred proprietary mathematical formulas to predict response, propensity, and lifetime value of data using Predictive Statistics, Consumer Behavior Studies and Census Data and to segment markets into NICHES to make decisions on everything, such as media buying, product pricing, ad copy, and what each customer can be expected to buy and when will they buy it.

For example, our software was able to recognize and predict that customers who move triple their purchases in the 12 weeks after moving, which peaks in 4 weeks. Their buys form a pattern: furniture, telecommunications equip. and decorations but stay away from jewelry and home electronics. Our software provides information allowing you to bring appropriate items and specials to the attention of customers based on their prior behaviour and spending patterns.

Our suite of advanced predictive modeling and direct marketing algorithms offer the most comprehensive selection of techniques in one software solution. Each of the products in this suite offers an easy-to-use, icon-based user interface. It features a selection of automated and ready-to-deploy data mining solutions for a wide variety of business applications. At the same time, our software is highly customizable and can be tailored to meet very specific and demanding analysis requirements through its open architecture.

Some programs offer thousands of functions which only serve to complicate the process. We have selected only those tools that can actually increase your sales and net profits.  Instead of an exhaustive collection of unnecessary SQL algorithms we include only the necessary tools like:

  • Classification & Regression Trees 
  • Generalized Additive Models 
  • Independent Component Analysis 
  • Stochastic Gradient Boosted Trees 
  • Neural Networks 
  • MARSplines 
  • Nearest Neighbor Methods 
  • Association Rules 
  • Bayesian regularization 
  • Dirichlet model parameters 
  • CHAID Trees 
  • EM & k Means Clustering