Sinossi
A predictive model which predicts the future churners seems to be vital. Author identifies different predictive models to recognize the customers which tend to churn in close future of insurance companies. With customer churn as main objective the study would thereby allow information gathering that can be used to take actions to avoid the customer desertion. In this book conceptual variables will be used to compare behavioral and environmental factors of customer history and to analyze the transaction record and behavior pattern to know the possibility of customer attrition to facilitate insurance companies to apply different recovery actions to customer’s base on their churn tendency and contribution to the company. Author develop predictive model for Life Insurance to Predict of customer behavior, customer value, customer satisfaction and customer loyalty in Insurance Sector.
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Customer Churn Prediction Using Machine learning technique
Editore:
LAP LAMBERT Academic Publishing Feb 2019, 2019
ISBN 10: 6139443326
ISBN 13: 9786139443321
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -A predictive model which predicts the future churners seems to be vital. Author identifies different predictive models to recognize the customers which tend to churn in close future of insurance companies. With customer churn as main objective the study would thereby allow information gathering that can be used to take actions to avoid the customer desertion. In this book conceptual variables will be used to compare behavioral and environmental factors of customer history and to analyze the transaction record and behavior pattern to know the possibility of customer attrition to facilitate insurance companies to apply different recovery actions to customer's base on their churn tendency and contribution to the company. Author develop predictive model for Life Insurance to Predict of customer behavior, customer value, customer satisfaction and customer loyalty in Insurance Sector. 268 pp. Englisch. Codice articolo 9786139443321
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Customer Churn Prediction Using Machine learning technique
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ISBN 13: 9786139443321
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Patil Dr. Sunita D.Dr. Sunita D. Patil is a faculty in the field of Management and Computer science. She has gained a rich experience in academics.She is B.Sc (Computer sci), MCM, MCA, MPhil (IT) and Ph.D in Computer Management. Her . Codice articolo 280826940
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Customer Churn Prediction Using Machine learning technique
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LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6139443326
ISBN 13: 9786139443321
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Taschenbuch. Condizione: Neu. Customer Churn Prediction Using Machine learning technique | Sunita D. Patil (u. a.) | Taschenbuch | 268 S. | Englisch | 2019 | LAP LAMBERT Academic Publishing | EAN 9786139443321 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Codice articolo 115846500
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Customer Churn Prediction Using Machine learning technique
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LAP LAMBERT Academic Publishing Feb 2019, 2019
ISBN 10: 6139443326
ISBN 13: 9786139443321
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -A predictive model which predicts the future churners seems to be vital. Author identifies different predictive models to recognize the customers which tend to churn in close future of insurance companies. With customer churn as main objective the study would thereby allow information gathering that can be used to take actions to avoid the customer desertion. In this book conceptual variables will be used to compare behavioral and environmental factors of customer history and to analyze the transaction record and behavior pattern to know the possibility of customer attrition to facilitate insurance companies to apply different recovery actions to customer's base on their churn tendency and contribution to the company. Author develop predictive model for Life Insurance to Predict of customer behavior, customer value, customer satisfaction and customer loyalty in Insurance Sector.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 268 pp. Englisch. Codice articolo 9786139443321
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Customer Churn Prediction Using Machine learning technique
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LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6139443326
ISBN 13: 9786139443321
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Da: AHA-BUCH GmbH, Einbeck, Germania
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - A predictive model which predicts the future churners seems to be vital. Author identifies different predictive models to recognize the customers which tend to churn in close future of insurance companies. With customer churn as main objective the study would thereby allow information gathering that can be used to take actions to avoid the customer desertion. In this book conceptual variables will be used to compare behavioral and environmental factors of customer history and to analyze the transaction record and behavior pattern to know the possibility of customer attrition to facilitate insurance companies to apply different recovery actions to customer's base on their churn tendency and contribution to the company. Author develop predictive model for Life Insurance to Predict of customer behavior, customer value, customer satisfaction and customer loyalty in Insurance Sector. Codice articolo 9786139443321
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Customer Churn Prediction Using Machine learning technique
Editore:
LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6139443326
ISBN 13: 9786139443321
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paperback. Condizione: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book. Codice articolo ERICA82961394433266
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