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Fraud Analytics : Strategies and Methods for Detection and Prevention

By: Spann, Delena D.
Material type: TextTextSeries: eBooks on Demand.Wiley Corporate F&A: Publisher: Hoboken : Wiley, 2014Description: 1 online resource (174 p.).ISBN: 9781118286999.Subject(s): Fraud -- Prevention | Fraud investigation | FraudGenre/Form: Electronic books.Additional physical formats: Print version:: Fraud Analytics : Strategies and Methods for Detection and PreventionDDC classification: 658.473 Online resources: Click here to view this ebook.
Contents:
Fraud Analytics: Strategies and Methods for Detection and Prevention; Contents; Foreword; Preface; Acknowledgments; Chapter 1: The Schematics of Fraud and Fraud Analytics; How Do We Define Fraud Analytics?; Mining the Field: Fraud Analytics in its New Phase; How Do We Use Fraud Analytics?; Fraud Detection; How Do We Define Fraud Analytics?; Fraud Analytics Refined; Notes; Chapter 2: The Evolution of Fraud Analytics; Why Use Fraud Analytics?; The Evolution Continues; Fraud Prevention and Detection in Fraud Analytics; Incentives, Pressures, and Opportunities; Notes
Chapter 3: The Analytical Process and the Fraud Analytical ApproachThe Turn of The Analytical Wheel; It Takes More Than One Step; Probabilities of Fraud and Where it All Begins; What Should the Fraud Analytics Process Look Like?; Data Analytics Exposed; Notes; Chapter 4: Using ACL Analytics in the Face of Excel; The Devil Remains in the Details; Notes; Chapter 5: Fraud Analytics versus Predictive Analytics; Overview of Fraud Analysis and Predictive Analysis; Comparing and Contrasting Methodologies; 13 Step Score Development versus Fraud Analysis; CRISP-DM versus Fraud Data Analysis
SAS/SEMMA versus Fraud Data AnalysisConflicts within Methodologies; Composite Methodology; Comparing and Contrasting Predictive Modeling and Data Analysis; Notes; Chapter 6: CaseWare IDEA Data Analysis Software; Detecting Fraud with IDEA; Fraud Analysis Points of IDEA; Correlation, Trend Analysis, and Time Series Analysis; What is IDEA's Purpose?; A Simple Scheme: The Purchase Fraud of an Employee as a Vendor; Stages of Using IDEA; Notes; Chapter 7: Centrifuge Analytics: Is Big Data Enough?; Sophisticated Link Analysis; The Challenge with Anti-Counterfeiting
Interactive Analytics: The Centrifuge WayFraud Analysis with Centrifuge VNA; The Fraud Management Process; Notes; Chapter 8: i2 Analyst''s Notebook: The Best in Fraud Solutions; Rapid Investigation of Fraud and Fraudsters; i2 Analyst's Notebook; i2 Analyst's Notebook and Fraud Analytics; How to Use i2 Analyst's Notebook: Fraud Financial Analytics; Using i2 Analyst's Notebook in a Money-Laundering Scenario; Notes; Chapter 9: The Power to Know Big Data: SAS Visual Analytics and Actionable Intelligence Technologies' Financial Investigative Software; The SAS Way
Actionable Intelligence Technologies' Financial Investigative SoftwareA Case in Point; Notes; Chapter 10: New Trends in Fraud Analytics and Tools; The Many Faces of Fraud Analytics; The Paper Chase is Over; To Be or Not to Be; Raytheon's VisuaLinks; FICO Insurance Fraud Manager 3.3; IBM i2 iBASE; Palantir Tech; Fiserv's AML Manager; Notes; About the Author; Index
Summary: Proven guidance for expertly using analytics in fraud examinations, financial analysis,auditing and fraud prevention Fraud Analytics thoroughly reveals the elements of analysis that are used in today''sfraudexaminations, fraud investigations, and financial crime investigations. This valuable resourcereviews the types of analysis that should be considered prior to beginning an investigation andexplains how to optimally use data mining techniques to detect fraud. Packed with examples andsample cases illustrating pertinent concepts in practice, this book also explores the two majordata analytics
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Item type Current location Call number URL Status Date due Barcode
Electronic Book UT Tyler Online
Online
HV8079.F7 .S68 2014 (Browse shelf) http://uttyler.eblib.com/patron/FullRecord.aspx?p=1752695 Available EBL1752695

Fraud Analytics: Strategies and Methods for Detection and Prevention; Contents; Foreword; Preface; Acknowledgments; Chapter 1: The Schematics of Fraud and Fraud Analytics; How Do We Define Fraud Analytics?; Mining the Field: Fraud Analytics in its New Phase; How Do We Use Fraud Analytics?; Fraud Detection; How Do We Define Fraud Analytics?; Fraud Analytics Refined; Notes; Chapter 2: The Evolution of Fraud Analytics; Why Use Fraud Analytics?; The Evolution Continues; Fraud Prevention and Detection in Fraud Analytics; Incentives, Pressures, and Opportunities; Notes

Chapter 3: The Analytical Process and the Fraud Analytical ApproachThe Turn of The Analytical Wheel; It Takes More Than One Step; Probabilities of Fraud and Where it All Begins; What Should the Fraud Analytics Process Look Like?; Data Analytics Exposed; Notes; Chapter 4: Using ACL Analytics in the Face of Excel; The Devil Remains in the Details; Notes; Chapter 5: Fraud Analytics versus Predictive Analytics; Overview of Fraud Analysis and Predictive Analysis; Comparing and Contrasting Methodologies; 13 Step Score Development versus Fraud Analysis; CRISP-DM versus Fraud Data Analysis

SAS/SEMMA versus Fraud Data AnalysisConflicts within Methodologies; Composite Methodology; Comparing and Contrasting Predictive Modeling and Data Analysis; Notes; Chapter 6: CaseWare IDEA Data Analysis Software; Detecting Fraud with IDEA; Fraud Analysis Points of IDEA; Correlation, Trend Analysis, and Time Series Analysis; What is IDEA's Purpose?; A Simple Scheme: The Purchase Fraud of an Employee as a Vendor; Stages of Using IDEA; Notes; Chapter 7: Centrifuge Analytics: Is Big Data Enough?; Sophisticated Link Analysis; The Challenge with Anti-Counterfeiting

Interactive Analytics: The Centrifuge WayFraud Analysis with Centrifuge VNA; The Fraud Management Process; Notes; Chapter 8: i2 Analyst''s Notebook: The Best in Fraud Solutions; Rapid Investigation of Fraud and Fraudsters; i2 Analyst's Notebook; i2 Analyst's Notebook and Fraud Analytics; How to Use i2 Analyst's Notebook: Fraud Financial Analytics; Using i2 Analyst's Notebook in a Money-Laundering Scenario; Notes; Chapter 9: The Power to Know Big Data: SAS Visual Analytics and Actionable Intelligence Technologies' Financial Investigative Software; The SAS Way

Actionable Intelligence Technologies' Financial Investigative SoftwareA Case in Point; Notes; Chapter 10: New Trends in Fraud Analytics and Tools; The Many Faces of Fraud Analytics; The Paper Chase is Over; To Be or Not to Be; Raytheon's VisuaLinks; FICO Insurance Fraud Manager 3.3; IBM i2 iBASE; Palantir Tech; Fiserv's AML Manager; Notes; About the Author; Index

Proven guidance for expertly using analytics in fraud examinations, financial analysis,auditing and fraud prevention Fraud Analytics thoroughly reveals the elements of analysis that are used in today''sfraudexaminations, fraud investigations, and financial crime investigations. This valuable resourcereviews the types of analysis that should be considered prior to beginning an investigation andexplains how to optimally use data mining techniques to detect fraud. Packed with examples andsample cases illustrating pertinent concepts in practice, this book also explores the two majordata analytics

Description based upon print version of record.

Reviews provided by Syndetics

CHOICE Review

Fraud, defined by the author as "any intentional act to deprive another of property or money by guile, deception, or other unfair means," is a growing problem in this culture, and fraudsters are becoming more sophisticated in the use of technology to perpetrate their crimes. Spann (US Secret Service) outlines strategies and tools at the disposal of organizations and investigators as they attempt to counter the threats posed by fraudulent crime. Of particular interest is the discussion in several chapters of cutting-edge data analysis software, which expresses data relationships visually rather than in the form of spreadsheets or reports; these visual analyses are better able to interpret "big data." This volume does not teach readers how to use these programs, but it acquaints them with some of their capabilities. The book contains numerous reproductions of visual data analyses produced by these programs; it could benefit from a more detailed explanation of how to interpret them. Nonetheless, the book is an eye-opener because it brings to light the latest tools in the ongoing fight against fraud. Summing Up: Recommended. Upper-division undergraduates and above. F. A. Marino Assumption College

Author notes provided by Syndetics

<p> DELENA D. SPANN, MSc, CFE, is employed with the United States Secret Service, Chicago Field Office, where she is assigned to the Electronic and Financial Crimes Task Force.</p> <p>Spann 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.</p> <p>Spann 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.</p>

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