Predictive Modeling is an advanced statistical technology which require much larger computer resources due to the complicities of model development processes. Statistical Modeling can be used for revealing cause and effect relationship, predicting future events, detecting hidden patterns, developing strategies, and optimizing resources. In recent decades, predictive modeling has been used in customer loyalty management, product demand forecasting, fraud detection, weather forecasting, and etc. We use Python or SAS to develop predictive models in our development systems, and we submit production versions of algorithmic computer programs to run on dedicated production servers or clouds. We provide services to wide ranges of predictive analyses in retail management, marketing, healthcare, and insurances, and etc.
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