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Just how does someone, who works for a bank handling money day in and day out, steal $100,000.00 in $100s and $50s without being caught on surveillance cameras or by your own coworkers? Daniel has to find out, or else his client, Melanie Thompson, a young vivacious woman, divorced and the mother of three young boys, will go to prison for the rest of her life. Melanie tells Daniel she didnt steal the money. As Daniel tries to put the pieces of the puzzle together, the case gets really ugly. The bank manager is found dead and now Daniel has to defend Melanie against the charge of bank robbery as well as murder in the First Degree. Daniel pits his private investigator, Jessica Kim, against both the FBI agent investigating the alleged crime and the insurance company who had to pay the claim loss for the money allegedly stolen by Melanie. To make matters worse, a mysterious man begins to pay Melanies legal fees. He remains anonymous by paying with cash slipped through the mail slot in the door to Daniels office. Can Daniel find the real thief before its too late? Find out in Daniels most complicated case!
Management of Banking and Financial Services focuses on the basic concepts of banking and financial services, and how these concepts are applied in the global banking environment as well as in India. In addition to presenting the big picture of the
This book, with invaluable contributions of Professor Franz Wotawa in chapters 5 and 7, presents the potential use and implementation of intelligent techniques in decision making processes involved in organizations and companies. It provides a thorough analysis of decisions, reviewing the classical decision theory, and describing usual methods for modeling the decision process. It describes the chronological evolution of Decision Support Systems (DSS) from early Management Information Systems until the appearance of Intelligent Decision Support Systems (IDSS). It explains the most commonly used intelligent techniques, both data-driven and model-driven, and illustrates the use of knowledge models in Decision Support through case studies. The author pays special attention to the whole Data Science process, which provides intelligent data-driven models in IDSS. The book describes main uncertainty models used in Artificial Intelligence to model inexactness; covers recommender systems; and reviews available development tools for inducing data-driven models, for using model-driven methods and for aiding the development of Intelligent Decision Support Systems.
The dynamic banking and financial services environment in the country calls for prudent decision making under pressure. Management of Banking and Financial Services provides students and practitioners with a thorough understanding of managerial issues in the banking and financial services industry, enabling them to evaluate the overall organisational impact of their decisions. The first section of the book focuses on the basic concepts of banking and financial services, and the other sections explain how these concepts are applied in the global banking environment as well as in India. In addition to presenting the big picture of the banking and financial services industry, the book also provides useful tips on the trade-off between risk and return.