{"product_id":"fraud-analytics-isbn-9781118230688","title":"Fraud Analytics","description":"\u003cb\u003eProven guidance for expertly using analytics in fraud examinations, financial analysis, auditing and fraud prevention\u003c\/b\u003e  \u003cp\u003e\u003ci\u003eFraud Analytics\u003c\/i\u003e thoroughly reveals the elements of analysis that are used in today's fraud examinations, fraud investigations, and financial crime investigations. This valuable resource reviews the types of analysis that should be considered prior to beginning an investigation and explains how to optimally use data mining techniques to detect fraud. Packed with examples and sample cases illustrating pertinent concepts in practice, this book also explores the two major data analytics providers: ACL and IDEA.\u003c\/p\u003e \u003cul\u003e \u003cli\u003eLooks at elements of analysis used in today's fraud examinations\u003c\/li\u003e \u003cli\u003eReveals how to use data mining (fraud analytic) techniques to detect fraud\u003c\/li\u003e \u003cli\u003eExamines ACL and IDEA as indispensable tools for fraud detection\u003c\/li\u003e \u003cli\u003eIncludes an abundance of sample cases and examples\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eWritten by Delena D Spann, Board of Regent (Emeritus) for the Association of Certified Fraud Examiners (ACFE), who currently serves as Advisory Board Member of the Association of Certified Fraud Examiners, Board Member of the Education Task Force of the Association of Certified Anti-Money Laundering Specialists ASIS International (Economic Crime Council) and Advisory Board Member of the Robert Morris University (School of Business), \u003ci\u003eFraud Analytics\u003c\/i\u003e equips you with authoritative fraud analysis techniques you can put to use right away.\u003c\/p\u003e \u003cp\u003eForeword xi\u003c\/p\u003e \u003cp\u003ePreface xiii\u003c\/p\u003e \u003cp\u003eAcknowledgments xv\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 1: The Schematics of Fraud and Fraud Analytics 1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eHow Do We Define Fraud Analytics? 2\u003c\/p\u003e \u003cp\u003eMining the Field: Fraud Analytics in its New Phase 6\u003c\/p\u003e \u003cp\u003eHow Do We Use Fraud Analytics? 10\u003c\/p\u003e \u003cp\u003eFraud Detection 10\u003c\/p\u003e \u003cp\u003eHow Do We Define Fraud Analytics? 12\u003c\/p\u003e \u003cp\u003eFraud Analytics Refined 12\u003c\/p\u003e \u003cp\u003eNotes 13\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 2: The Evolution of Fraud Analytics 15\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eWhy Use Fraud Analytics? 17\u003c\/p\u003e \u003cp\u003eThe Evolution Continues 19\u003c\/p\u003e \u003cp\u003eFraud Prevention and Detection in Fraud Analytics 19\u003c\/p\u003e \u003cp\u003eIncentives, Pressures, and Opportunities 21\u003c\/p\u003e \u003cp\u003eNotes 22\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 3: The Analytical Process and the Fraud Analytical Approach 23\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eThe Turn of the Analytical Wheel 23\u003c\/p\u003e \u003cp\u003eIt Takes More Than One Step 24\u003c\/p\u003e \u003cp\u003eProbabilities of Fraud and Where it All Begins 28\u003c\/p\u003e \u003cp\u003eWhat Should the Fraud Analytics Process Look Like? 29\u003c\/p\u003e \u003cp\u003eData Analytics Exposed 31\u003c\/p\u003e \u003cp\u003eNotes 32\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 4: Using ACL Analytics in the Face of Excel 33\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eThe Devil Remains in the Details 50\u003c\/p\u003e \u003cp\u003eNotes 55\u003c\/p\u003e \u003cp\u003eChapter 5: Fraud Analytics versus Predictive Analytics 57\u003c\/p\u003e \u003cp\u003eOverview of Fraud Analysis and Predictive Analysis 58\u003c\/p\u003e \u003cp\u003eComparing and Contrasting Methodologies 60\u003c\/p\u003e \u003cp\u003e13 Step Score Development versus Fraud Analysis 64\u003c\/p\u003e \u003cp\u003eCRISP-DM versus Fraud Data Analysis 66\u003c\/p\u003e \u003cp\u003eSAS\/SEMMA versus Fraud Data Analysis 68\u003c\/p\u003e \u003cp\u003eConflicts within Methodologies 69\u003c\/p\u003e \u003cp\u003eComposite Methodology 70\u003c\/p\u003e \u003cp\u003eComparing and Contrasting Predictive Modeling and Data Analysis 72\u003c\/p\u003e \u003cp\u003eNotes 76\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 6: CaseWare IDEA Data Analysis Software 77\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eDetecting Fraud with IDEA 79\u003c\/p\u003e \u003cp\u003eFraud Analysis Points of IDEA 82\u003c\/p\u003e \u003cp\u003eCorrelation, Trend Analysis, and Time Series Analysis 83\u003c\/p\u003e \u003cp\u003eWhat is IDEA’s Purpose? 83\u003c\/p\u003e \u003cp\u003eA Simple Scheme: The Purchase Fraud of an Employee as a Vendor 86\u003c\/p\u003e \u003cp\u003eStages of Using IDEA 87\u003c\/p\u003e \u003cp\u003eNotes 89\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 7: Centrifuge Analytics: Is Big Data Enough? 91\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eSophisticated Link Analysis 92\u003c\/p\u003e \u003cp\u003eThe Challenge with Anti-Counterfeiting 93\u003c\/p\u003e \u003cp\u003eInteractive Analytics: The Centrifuge Way 93\u003c\/p\u003e \u003cp\u003eFraud Analysis with Centrifuge VNA 95\u003c\/p\u003e \u003cp\u003eThe Fraud Management Process 100\u003c\/p\u003e \u003cp\u003eNotes 105\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 8: i2 Analyst's Notebook: The Best in Fraud Solutions 107\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eRapid Investigation of Fraud and Fraudsters 108\u003c\/p\u003e \u003cp\u003ei2 Analyst’s Notebook 109\u003c\/p\u003e \u003cp\u003ei2 Analyst’s Notebook and Fraud Analytics 113\u003c\/p\u003e \u003cp\u003eHow to Use i2 Analyst’s Notebook: Fraud Financial Analytics 116\u003c\/p\u003e \u003cp\u003eUsing i2 Analyst’s Notebook in a Money-Laundering Scenario 121\u003c\/p\u003e \u003cp\u003eNotes 125\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 9: The Power to Know Big Data: SAS Visual Analytics and Actionable Intelligence Technologies’ Financial Investigative Software 127\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eThe SAS Way 127\u003c\/p\u003e \u003cp\u003eActionable Intelligence Technologies’ Financial Investigative Software 130\u003c\/p\u003e \u003cp\u003eA Case in Point 132\u003c\/p\u003e \u003cp\u003eNotes 135\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 10: New Trends in Fraud Analytics and Tools 137\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eThe Many Faces of Fraud Analytics 137\u003c\/p\u003e \u003cp\u003eThe Paper Chase is Over 138\u003c\/p\u003e \u003cp\u003eTo Be or Not to Be 140\u003c\/p\u003e \u003cp\u003eRaytheon’s VisuaLinks 143\u003c\/p\u003e \u003cp\u003eFICO Insurance Fraud Manager 3.3 145\u003c\/p\u003e \u003cp\u003eIBM i2 iBASE 146\u003c\/p\u003e \u003cp\u003ePalantir Tech 147\u003c\/p\u003e \u003cp\u003eFiserv’s AML Manager 148\u003c\/p\u003e \u003cp\u003eNotes 148\u003c\/p\u003e \u003cp\u003eAbout the Author 151\u003c\/p\u003e \u003cp\u003eIndex 153\u003c\/p\u003e \u003cp\u003e\u003cb\u003eDELENA D. SPANN, MSc, CFE,\u003c\/b\u003e is employed with the United States Secret Service, Chicago Field Office, where she is assigned to the Electronic and Financial Crimes Task Force.\u003cbr\u003eSpann routinely serves on high-profile financial crimes investigations that include detecting red flags, trends, and anomalies in complex financial transactions. She is frequently called upon as a guest speaker on her expertise in fraud analytics and financial crimes. She is dedicated to the study of white-collar crime.\u003cbr\u003eSpann holds a bachelor's degree in liberal studies from Barry University and a master of science degree in criminal justice administration from Florida International University. She is Board of Regent (Emeritus), an Advisory Board Member, and Higher Education Committee Member of the Association of Certified Fraud Examiners; a Board of Director of ASIS International Economic Crime Council; Education Task Force Member of the Association of Certified Anti-Money Laundering Specialists; Advisory Board Member at Robert Morris University; Executive Director of the Association of Certified Fraud Examiners, Greater Chicago Chapter; a Threat Finance Task Force Member of the Association of Certified Financial Crimes Specialists; and Board of Director (Emeritus), Step Women's Network of Chicago. Spann also serves as an adjunct professor at the university\/college level.\u003c\/p\u003e  \u003cp\u003e\u003cb\u003eFRAUD ANALYTICS\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003eLooking for less theory and more hands-on methods for finding and flinging fraud from your business? Packed with countless software options and helpful tools, \u003ci\u003eFraud Analytics\u003c\/i\u003e is the ultimate guide, with proven fraud detection and prevention strategies to get you started. \u003c\/p\u003e\u003cp\u003e\u003ci\u003eFraud Analytics\u003c\/i\u003e presents an effective approach to fraud detection that discovers unusual patterns, identifies masses of red flags, and aligns trends. Author and renowned fraud analysis expert Delena D. Spann equips you—whether you are an auditor, investigator, analyst, or accountant—with new ways of conducting fraud analysis that will broaden your ability to try new and diverse tools. \u003c\/p\u003e\u003cp\u003eWith case studies in each chapter and methods for identifying specific areas of fraud risk and fraudulent activities, this timely book covers: \u003c\/p\u003e\u003cul\u003e \u003cli\u003eThe schematics of fraud and fraud analytics\u003c\/li\u003e \u003cli\u003eThe evolution of fraud analytics\u003c\/li\u003e \u003cli\u003eThe analytical process\u003c\/li\u003e \u003cli\u003eUsing ACL analytics in the face of Excel\u003c\/li\u003e \u003cli\u003eFraud analytics versus predictive analytics\u003c\/li\u003e \u003cli\u003eDetecting fraud with IDEA data analysis software\u003c\/li\u003e \u003cli\u003eCentrifuge analytics—is big data enough?\u003c\/li\u003e \u003cli\u003ei2 analyst notebook and fraud analytics\u003c\/li\u003e \u003cli\u003eNew trends in fraud analytics and tools\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eDon't wait to respond to fraud after the fact. Read \u003ci\u003eFraud Analytics\u003c\/i\u003e to get your business into a proactive fraud detection environment that identifies potentially threatening actions \u003ci\u003ebefore\u003c\/i\u003e they occur.\u003c\/p\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":47989242298597,"sku":"NP9781118230688","price":50.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9781118230688.jpg?v=1761783344","url":"https:\/\/k12savings.com\/es\/products\/fraud-analytics-isbn-9781118230688","provider":"K12savings","version":"1.0","type":"link"}