Instructor Led Churn Modeling Training
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From Predictive Analytics World
Predictive Analytics World, April 25-26, 2012 in Toronto
...ics, including response modeling, customer retention with churn modeling, product recommendations, fraud detection, online marketing optimization, human resource decision-making, law enforcement, sales forecasting, and credit scoring.
Why bring together such a wide range of endeavors? No matter how you use predictive analytics, the story is the same: Predicatively scoring customers optimizes
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Predictive Analytics World, April 25-26, 2012 in Toronto
Predictive Analytics World, March 4-10, 2012 San Francisco

...ics, including response modeling, customer retention with churn modeling, product recommendations, fraud detection, online marketing optimization, human resource decision-making, law enforcement, sales forecasting, and credit scoring.
Why bring together such a wide range of endeavors? No matter how you use predictive analytics, the story is the same: Predicatively scoring customers optimizes
more...
From Rapid Progress Marketing and Modeling, LLC
The Essentials of Data Mining and Predictive Modeling for Internet and Direct Marketers



DESCRIPTION
"Data Mining and Predictive Modeling" are intertwined buzzwords that wea ve all heard. And perhaps youa re not quite sure what they mean or how they differ. While this is an incredibly important question to answer, the even more vital question is, "How do I make them meaningful?" This course addresses all of these questions in detail.
Though frequently thought of in terms of
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Advanced Data Mining and Predictive Modeling for Internet and Direct Marketers



DESCRIPTION
"Advanced" data mining and predictive modeling dives into the more sophisticated data mining and modeling techniques that an increasing number of enterprises are employing to generate huge impacts on their bottom lines, whether it be through the internet or through direct marketing channels.
Long gone are the days when data was scarce. In the modern world, wea re drowning in data
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