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Zusatztext "...you come away from the book feeling enriched! and enthused..." (Professional Security! July 2014) Informationen zum Autor Revathi Subramanian is Senior Vice President, Data Science at CA Technologies, which helps Fortune 1000 companies manage and secure complex IT environments to support agile business services. She is the founding member of a team of high caliber data scientists that are uncovering business value and operational intelligence from the chaos of Big Data in areas like eCommerce, application performance management, infrastructure management, service virtualization, and project management. Before joining CA, Revathi was the co-founder of the SAS Advanced Analytic Solutions Division in 2002. She led the development of a new enterprise real-time fraud decisioning platform utilizing advanced analytics. Revathi has a Master's degree in Statistics from The Ohio State University and a Bachelor's degree in Mathematics from Ethiraj Collge, Chennai, India. Klappentext Learn how advances in technology can help curb bank fraudFraud prevention specialists are grappling with ever-mounting quantities of data, but in today's volatile commercial environment, paying attention to that data is more important than ever. Bank Fraud provides a frank discussion of the attitudes, strategies, and--most importantly--the technology that specialists will need to combat fraud.Fraudulent activity may have increased over the years, but so has the field of data science and the results that can be achieved by applying the right principles, a necessary tool today for financial institutions to protect themselves and their clientele. This resource helps professionals in the financial services industry make the most of data intelligence and uncovers the applicable methods to strengthening defenses against fraudulent behavior. This in-depth treatment of the topic begins with a brief history of fraud detection in banking and definitions of key terms, then discusses the benefits of technology, data sharing, and analysis, along with other in-depth information, including:* The challenges of fraud detection in a financial services environment* The use of statistics, including effective ways to measure losses per account and ROI by product/initiative* The Ten Commandments for tackling fraud and ways to build an effective model for fraud managementBank Fraud offers a compelling narrative that ultimately urges security and fraud prevention professionals to make the most of the data they have so painstakingly gathered. Such professionals shouldn't let their most important intellectual asset--data--go to waste. This book shows you just how to leverage data and the most up-to-date tools, technologies, and methods to thwart fraud at every turn. Zusammenfassung * This book examines the technology that is needed to combat bank fraud. * It provides the necessary tools that fraud prevention specialist needed to determine their technology needs. Inhaltsverzeichnis Preface xi Acknowledgments xiii About the Author xvii Chapter 1 Bank Fraud: Then and Now 1 The Evolution of Fraud 2 The Evolution of Fraud Analysis 8 Summary 14 Chapter 2 Quantifying Fraud: Whose Loss Is It Anyway? 15 Fraud in the Credit Card Industry 22 The Advent of Behavioral Models 30 Fraud Management: An Evolving Challenge 31 Fraud Detection across Domains 33 Using Fraud Detection Effectively 35 Summary 37 Chapter 3 In God We Trust. The Rest Bring Data! 39 Data Analysis and Causal Relationships 40 Behavioral Modeling in Financial Institutions 42 Setting Up a Data Environment 47 Understanding Text Data 58 Summary 60 Chapter 4 Tackling Fraud: The Ten Commandments 63 1. Data: Garbage In; Garbage Out 67 2....
