Using Data Analysis to Detect Fraud - IIA Dallas Chapter

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TechnologyAbout Transaction Risk Identification & Analysis (“TRIA”)TRIA provides analysis of data at the sub-ledger level. The depthof the TRIA has been expanded to contain approximately 180reports related to the following business cycles:• Accounts payable• Revenue• Inventory• Payroll•Fixed assetsUsing Data Analysis to Detect and Deter FraudPricewaterhouseCoopersMarch 2007Slide 28
TRIA HighlightsTRIA applies machine intelligence to solve matching and pattern detectionproblems.Key features of TRIA:• Combines machine intelligence with human intelligence- Computer matching + Manual review process• Utilizes USPS Address Standard and Firstlogic*• Interacts with outside database and third party software resources (e.g. knownfraudulent names/addresses, validity checks)- World Compliance** - World Check** - Mail Box etc. list- Name Variations* - SSN* * - DUNS Number*• Flexible Design- User configurable clustering engine- Matching and pattern detection algorithms can be customized• Provides an online environment to review matches• Provides multi-year analysis across application/ERP boundaries• Ability to dynamically design ad-hoc reports/analysis (ORACLE DBMS)Using Data Analysis to Detect and Deter FraudPricewaterhouseCoopersMarch 2007Slide 29
Page 3: “There is a tendency to mistake d
Page 6 and 7: Who detects fraud?Source:Pricewater
Page 8: Data Analysis FrameworkIndustry & C
Page 11 and 12: Analytic TechniquesCompare supplier
Page 13 and 14: Analytic TechniquesGhost employeesD
Page 15 and 16: Analytic TechniquesBenford’s LawU
Page 17 and 18: Analytic TechniquesHow do you analy
Page 19 and 20: Analytic TechniquesTesting across c
Page 21 and 22: Data Quality ChallengesNo uniquekey
Page 23 and 24: Data Quality Challenges - Translite
Page 25 and 26: OutlineData Analysis FrameworkAnaly
Page 27: TechnologyA sampling of technologyC
Page 31 and 32: TRIA HighlightDisbursements within
Page 33 and 34: Questions© 2007 PricewaterhouseCoo
Page 35 and 36: Accounts Payable1. Vendor Invoices
Page 37 and 38: Accounts Payable (Continued)31. Pay
Page 39 and 40: Accounts Payable (Continued)61. Ent
Page 41 and 42: Revenue91. Customer Ship Address Sa
Page 43 and 44: Revenue121.Customers with same tax
Page 45 and 46: Inventory140.Unique General Ledger

Using Data Analysis to Detect Fraud - IIA Dallas Chapter

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