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Author: Darryl D'Souza
Publisher: AuthorHouse
ISBN:
Category : Education
Languages : en
Pages : 205
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Book Description
"Diving deep into the realm of debt collections, this comprehensive guide, titled (The Art of Maximizing Debt Collections - Digitization, Analytics, AI, Machine Learning, Performance Management), serves as an authoritative handbook on the evolving landscape of collections analytics, automation, and strategic performance measurement. From its compelling introduction, uncovering five processes revolutionizing debt collections, to its culmination in exploring cutting edge applications of AI, machine learning, and robotic assistance in collections, this book is a definitive road map for professionals navigating the intricate world of debt recovery. Spanning fifteen meticulously crafted chapters, each segment is a treasure trove of insights. It begins by elucidating the critical role of collections analytics, unraveling how data management, reporting, and workflow analysis amplify collections strategies. In subsequent chapters, it explores the arsenal of software, tools, and operational reporting mechanisms employed in this domain, enhancing operational efficiencies and agent performance. The book delves into the dynamic realm of collections automation, highlighting the transformative impact of automated systems on debt recovery, while meticulously detailing the top-tier software and tips for selecting optimal automation tools. Moreover, it offers an in-depth exploration of collections performance measurement, unveiling key performance indicators (KPIs) crucial for gauging efficiency. Chapters dedicated to recovery performance, strategy analysis, digitization, and the integration of AI and Machine Learning offer strategic insights into bolstering collections strategies and leveraging technological advancements for enhanced outcomes. Intriguingly it addresses the ethical and legal aspects surrounding the use of robots in basic calling and automated payment promises, providing guidance to navigate these complex territories. The Art of Maximizing Debt Collections - Digitization, Analytics, AI, Machine Learning and Performance Management is an indispensable guide for professionals, analyst and decision makers seeking a comprehensive understanding of collections analytics, automation, and leveraging cutting edge technologies for optimizing Debt Recovery strategies in todays dynamic financial landscape."
Author: Darryl D'Souza
Publisher: AuthorHouse
ISBN:
Category : Education
Languages : en
Pages : 205
Get Book Here
Book Description
"Diving deep into the realm of debt collections, this comprehensive guide, titled (The Art of Maximizing Debt Collections - Digitization, Analytics, AI, Machine Learning, Performance Management), serves as an authoritative handbook on the evolving landscape of collections analytics, automation, and strategic performance measurement. From its compelling introduction, uncovering five processes revolutionizing debt collections, to its culmination in exploring cutting edge applications of AI, machine learning, and robotic assistance in collections, this book is a definitive road map for professionals navigating the intricate world of debt recovery. Spanning fifteen meticulously crafted chapters, each segment is a treasure trove of insights. It begins by elucidating the critical role of collections analytics, unraveling how data management, reporting, and workflow analysis amplify collections strategies. In subsequent chapters, it explores the arsenal of software, tools, and operational reporting mechanisms employed in this domain, enhancing operational efficiencies and agent performance. The book delves into the dynamic realm of collections automation, highlighting the transformative impact of automated systems on debt recovery, while meticulously detailing the top-tier software and tips for selecting optimal automation tools. Moreover, it offers an in-depth exploration of collections performance measurement, unveiling key performance indicators (KPIs) crucial for gauging efficiency. Chapters dedicated to recovery performance, strategy analysis, digitization, and the integration of AI and Machine Learning offer strategic insights into bolstering collections strategies and leveraging technological advancements for enhanced outcomes. Intriguingly it addresses the ethical and legal aspects surrounding the use of robots in basic calling and automated payment promises, providing guidance to navigate these complex territories. The Art of Maximizing Debt Collections - Digitization, Analytics, AI, Machine Learning and Performance Management is an indispensable guide for professionals, analyst and decision makers seeking a comprehensive understanding of collections analytics, automation, and leveraging cutting edge technologies for optimizing Debt Recovery strategies in todays dynamic financial landscape."
Author: United States. Congress. House. Committee on Appropriations. Subcommittee on Financial Services and General Government
Publisher:
ISBN:
Category : Administrative agencies
Languages : en
Pages : 644
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Book Description
Author: United States. Congress. House. Committee on Appropriations. Subcommittee on Department of the Interior and Related Agencies
Publisher:
ISBN:
Category :
Languages : en
Pages : 1482
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Book Description
Author: United States. Congress. House. Committee on Government Reform and Oversight. Subcommittee on Government Management, Information, and Technology
Publisher:
ISBN:
Category : Political Science
Languages : en
Pages : 292
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Book Description
Author: A. Michael Coleman
Publisher: John Wiley & Sons
ISBN: 047148394X
Category : Business & Economics
Languages : en
Pages : 306
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Book Description
You don’t have to be gifted to be a great credit collector. All you need is a desire to learn from the best.. . . and that’s the level of expertise this exhaustively researched volume puts right at your fingertips. The Collection Management Handbook puts you on the fast track to becoming a debt recovery dynamo. Drawing on actual cases from the collection industry’s top achievers, this expanded edition redefines collection methodology. Focusing on multiple avenues of strategic creditor recourse, it goes beyond yesterday’s dunning notices, showing you how to extract money from the most hard-to-reach nonpaying customers. Order your copy today!
Author: United States. Congress. House. Committee on Appropriations. Subcommittee on Financial Services and General Government
Publisher:
ISBN:
Category :
Languages : en
Pages : 428
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Book Description
Author: United States. Congress. House. Committee on Appropriations. Subcommittee on Financial Services and General Government
Publisher:
ISBN:
Category : Administrative agencies
Languages : en
Pages : 762
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Book Description
Author: Timothy J. Daye
Publisher: iUniverse
ISBN: 146203330X
Category : Business & Economics
Languages : en
Pages : 70
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Book Description
The 5 Elements of the Highly Effective Debt Collector is the first How to collect a debt book of its kind, in that it breaks the debt collecting process down into five core fundamental areas. After years of training in the collection industry, I have found that these five fundamental areas are at the center of revealing the mystery behind why only a small percentage of debt collectors produce at a high level and more importantly explains why the larger percentage of low to mediocre performers never reach a top producing level. Not only does this book establish fundamental concepts every debt collector must understand to maximize personal or agencys earning potential, it also teaches: sound principles of engagement, valuable communication concepts, effective sales rebuttal techniques, as well as a system of file management that if followed and executed properly will more than double a collectors efficiency and effectiveness in less than 30 days The 5 Elements principles and concepts were designs to ensure that no matter an individuals talent level, years in the industry, or position held within an agency, the end user will understand clearly and be enriched by the experience.
Author:
Publisher: Chest Physicians - ACCP
ISBN: 0916609723
Category :
Languages : en
Pages : 465
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Book Description
Author:
Publisher:
ISBN:
Category : Social security
Languages : en
Pages : 550
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Book Description
