Smita r chavan (2 risultati)

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  • Lingua: Inglese

    Editore: LAP LAMBERT Academic Publishing, 2019

    6139443326 / 9786139443321

    • Brossura
    • Print on Demand

    Da: moluna, Greven, Germaniamoluna

    Venditore con 5 stelle
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    Condizione: Nuovo

    EUR 66,32

    EUR 48,99 spedizione 
    Spedito da Germania a U.S.A.

    Quantità: Più di 20 disponibili

    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 .…

  • Lingua: Inglese

    Editore: LAP LAMBERT Academic Publishing, 2019

    6139443326 / 9786139443321

    • Brossura
    • Print on Demand

    Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH

    Venditore con 5 stelle
    Contatta il venditore

    Condizione: Nuovo

    EUR 84,05

    EUR 35,00 spedizione 
    Spedito da Germania a U.S.A.

    Quantità: 1 disponibili

    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. …