Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2022
ISBN 10: 6205529386 ISBN 13: 9786205529386
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing Dez 2022, 2022
ISBN 10: 6205529386 ISBN 13: 9786205529386
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 43,90
Quantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware -In many customer oriented enterprise environment like banks and retail businesses, data mining business intelligence (BI) performs key functions that enable business organizations determine investment risks and estimate returns on investment. It aids in evaluating the gathered information and presenting them in an understandable and practical design that promote data mining analytics. In the current study, banking and retail services were viewed among the rapidly developing technological industry that maintains significant amounts of electronic data. Handling enormous amounts of transactional data and making choices about risk, client retention, fraud detection and prevention, and marketing management are significant tasks in the banking and retail industries. On the account that fraudsters constantly come up with new schemes and refine their existing schemes so they may avoid being easily identified, it is challenging to identify fraud and prevent it from happening. In order to monitor activities relating to fraud prevention, fraud detection, customer retention, marketing and risk management, business performance, loan classification, and improving customer satisfaction.Books on Demand GmbH, Überseering 33, 22297 Hamburg 56 pp. Englisch.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing Dez 2022, 2022
ISBN 10: 6205529386 ISBN 13: 9786205529386
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 43,90
Quantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In many customer oriented enterprise environment like banks and retail businesses, data mining business intelligence (BI) performs key functions that enable business organizations determine investment risks and estimate returns on investment. It aids in evaluating the gathered information and presenting them in an understandable and practical design that promote data mining analytics. In the current study, banking and retail services were viewed among the rapidly developing technological industry that maintains significant amounts of electronic data. Handling enormous amounts of transactional data and making choices about risk, client retention, fraud detection and prevention, and marketing management are significant tasks in the banking and retail industries. On the account that fraudsters constantly come up with new schemes and refine their existing schemes so they may avoid being easily identified, it is challenging to identify fraud and prevent it from happening. In order to monitor activities relating to fraud prevention, fraud detection, customer retention, marketing and risk management, business performance, loan classification, and improving customer satisfaction. 56 pp. Englisch.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2022
ISBN 10: 6205529386 ISBN 13: 9786205529386
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 44,59
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In many customer oriented enterprise environment like banks and retail businesses, data mining business intelligence (BI) performs key functions that enable business organizations determine investment risks and estimate returns on investment. It aids in evaluating the gathered information and presenting them in an understandable and practical design that promote data mining analytics. In the current study, banking and retail services were viewed among the rapidly developing technological industry that maintains significant amounts of electronic data. Handling enormous amounts of transactional data and making choices about risk, client retention, fraud detection and prevention, and marketing management are significant tasks in the banking and retail industries. On the account that fraudsters constantly come up with new schemes and refine their existing schemes so they may avoid being easily identified, it is challenging to identify fraud and prevent it from happening. In order to monitor activities relating to fraud prevention, fraud detection, customer retention, marketing and risk management, business performance, loan classification, and improving customer satisfaction.