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    Bank Fraud: Using Technology to Combat Losses (Wiley & SAS Business) (Hardback) By (author) Revathi Subramanian

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    DescriptionCapitalize on technology to halt bank fraud Examining the technology that is needed to combat bank fraud, Bank Fraud: Using Technology to Combat Losses equips corporate security and loss prevention managers with the necessary tools to determine an organization's unique technology needs. * Looks at the technology needed to handle data intelligence* Provides guidance to assess the technology necessary to battle fraud* Features unique coverage of the history of fraud detection and prevention in banking* Explores the challenges of fraud detection in a financial services environment; understanding corporate risk exposure; losses per assets; trending over time; benefits of technology Focusing on the financial crimes and insider frauds in operation nationally and internationally, Bank Fraud: Using Technology to Combat Losses arms fraud prevention professionals with authoritative guidance to detect and prevent such crimes in future.

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  • Full bibliographic data for Bank Fraud

    Bank Fraud
    Using Technology to Combat Losses
    Authors and contributors
    By (author) Revathi Subramanian
    Physical properties
    Format: Hardback
    Number of pages: 172
    Width: 163 mm
    Height: 231 mm
    Thickness: 25 mm
    Weight: 408 g
    ISBN 13: 9780470494394
    ISBN 10: 0470494395

    B&T Merchandise Category: GEN
    B&T Book Type: NF
    BIC E4L: FIN
    B&T Modifier: Region of Publication: 01
    BIC subject category V2: KFFK
    Nielsen BookScan Product Class 3: S4.9
    B&T General Subject: 180
    Ingram Subject Code: BE
    B&T Modifier: Continuations: 02
    Libri: I-BE
    BISAC V2.8: BUS063000
    B&T Modifier: Academic Level: 03
    BISAC V2.8: BUS042000, BUS027000
    B&T Approval Code: A48404234
    BISAC V2.8: BUS004000
    Warengruppen-Systematik des deutschen Buchhandels: 17870
    B&T Approval Code: A48400300
    BIC subject category V2: JKVK
    DC22: 332.10684
    B&T Approval Code: A47240000
    DC22: 332.1068/4
    LC subject heading: ,
    DC23: 658.473
    LC classification: HG1616.S37 S83 2014
    LC subject heading:
    Ingram Theme: ASPT/CRIMAS
    Thema V1.0: KFFK, JKVK
    Edition statement
    Illustrations note
    black & white illustrations, black & white tables, figures, graphs
    John Wiley and Sons Ltd
    Imprint name
    John Wiley & Sons Ltd
    Publication date
    13 May 2014
    Publication City/Country
    Author Information
    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 Masters degree in Statistics from The Ohio State University and a Bachelors degree in Mathematics from Ethiraj Collge, Chennai, India.
    Review quote
    "...you come away from the book feeling enriched, and enthused..." (Professional Security, July 2014)
    Back cover copy
    Using the right technology to battle widespread financial fraudData intelligence has evolved over the years, resulting in highly sophisticated scoring processes. "Bank Fraud: Using Technology to Combat Losses" teaches loss prevention managers, fraud prevention professionals, and corporate security personnel how to effectively select and use the right technology to combat fraudulent activities in their business. This book covers in detail all of the ingredients necessary to build and maintain a healthy fraud management environment, including: A discussion of the history of fraud detection and prevention practicesThe challenges of fraud detection in a financial services environmentCorporate risk exposure and setting up a solid data environmentA discussion of exposure considerations and how to avoid lossesStatistical analysis and evaluating trends over timeData-driven risk management goes back decades, but many professionals simply miscalculated their strategies or failed to plan them adequately. "Bank Fraud" examines the current technology to teach professionals how to properly plan, implement, and evaluate their loss prevention systems and find modern solutions for age-old fraudulent activity. It is a new take on finding the right data environment for the business and applying it correctly to ensure the best security results over time.
    Flap copy
    BANK FRAUDUsing Technology to Combat LossesGreat strides in data intelligence have been made over the years as the fraud detection and prevention industry has matured. With that comes a need for technology that can handle all of this data, as well as people who know how to correctly use it. As part of the Wiley and SAS Business Series, "Bank Fraud: Using Technology to Combat Losses" dives deep into fraud detection and prevention strategies from a technological perspective. The book is aimed at helping users define their data and analysis environments correctly from the beginning, so that the best possible results can be achieved by their fraud management systems."Bank Fraud" is not meant to convert the reader into a data scientist, but rather aims to convert the reader into a power user of data-driven systems while presenting some key aspects of a good fraud solution. It covers the history of fraud detection and prevention along with practical tools for understanding risk exposure, key terms, statistics, and trends. It also discusses the special vulnerability banks have when it comes to fraud and the historical challenges in locating perpetrators."Bank Fraud" provides guidance for loss prevention professionals to assess which technology is appropriate for battling bank fraud and how to properly implement it. Its advice is timely and relevant, as combating fraud is listed as a top priority for almost every bank in existence today. Readers get a look at fraud prevention from an expert's perspective and learn to use technology as a harness for data intelligence - effectively stopping fraudulent activity in its tracks.
    Table of contents
    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. No Documentation? No Change! 71 3. Key Employees Are Not a Substitute for Good Documentation 75 4. Rules: More Doesn't Mean Better 77 5. Score: Never Rest on Your Laurels 79 6. Score + Rules = Winning Strategy 83 7. Fraud: It Is Everyone's Problem 85 8. Continual Assessment Is the Key 86 9. Fraud Control Systems: If They Rest, They Rust 87 10. Continual Improvement: The Cycle Never Ends 88 Summary 88 Chapter 5 It Is Not Real Progress Until It Is Operational 89 The Importance of Presenting a Solid Picture 90 Building an Effective Model 92 Summary 105 Chapter 6 The Chain Is Only as Strong as Its Weakest Link 109 Distinct Stages of a Data-Driven Fraud Management System 110 The Essentials of Building a Good Fraud Model 112 A Good Fraud Management System Begins with the Right Attitude 117 Summary 119 Chapter 7 Fraud Analytics: We Are Just Scratching the Surface 121 A Note about the Data 125 Data 126 Regression 1 128 Logistic Regression 1 132 "Models Should Be as Simple as Possible, But Not Simpler" 149 Summary 151 Chapter 8 The Proof of the Pudding May Not Be in the Eating 153 Understanding Production Fraud Model Performance 154 The Science of Quality Control 155 False Positive Ratios 156 Measurement of Fraud Detection against Account False Positive Ratio 156 Unsupervised and Semisupervised Modeling Methodologies 158 Summary 159 Chapter 9 The End: It Is Really the Beginning! 161 Notes 165 Index 167