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The cornerstone of success in marketing and customer analysis is predictive modeling. Typically it is a time-consuming, labor-intensive, highly technical, and expensive process. But, it doesn't have to be...
The Predictive Modeling Platform changes the paradigm for advanced predictive modeling by focusing on the underlying business issus, not the mathematical and statistical algorithms. Users simply need to know that they want to improve campaign response or reduce churn, have access to appropriate data, and the solution takes care of the rest. A typical one or two month model building exercise can be reduced to one or two days, or even less with the click up a button.
What's the tradeoff? Simplicity must come at the expense of model performance? In the Predictive Modeling Platform, there is no tradeoff, and you do not have to sacrifice accuracy and performance. Our proprietary and well-tested methodologies can perform as well or better than hand-crafted models and take a fraction of the time. Many years of experience have led to development of sophisticated, automated techniques for model design, building, testing, and validation with little user interaction. Technical users and experienced model builders benefit as well. They are given access to all the bells-and-whistles of high-end model building, but are spared the mundane iterative process involved with most tools.
The platform's ability to build sophisticated models quickly allows marketers to easily scale their use of models in business applications. Dozens or hundreds of models can be defined and built to cover multiple products, geographies, campaigns, and customer lifecycles. With this scalability comes the need for effective management of models. Models are organized into model libraries, and tracked over time, including model objects, versioning, and performance history.
The platform doesn't end with a single model development exercise. Advanced functionality allows models to be refreshed and rebuilt automatically over time on a schedule or as new data becomes available. In addition, putting a model into production and having it bring value to your marketing efforts requires it to be scored against new data. This also is a push-button exercise and can be automated and scheduled. Scored results are available in multiple formats for use in your execution engines.