Using Data Analysis to Detect Fraud - IIA Dallas Chapter
Using Data Analysis to Detect Fraud - IIA Dallas Chapter
Using Data Analysis to Detect Fraud - IIA Dallas Chapter
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Accounts Payable (Continued)46. Aggregate Payments in Alphabetical Order47. Aggregate Payments in Descending $ Order48. Cancelled Checks49. Check Amounts Sum of Invoice Amount50. Check Number Gaps51. Check Register Vendor Vendor List52. Checks with Multiple Names or Vendor Numbers53. Compare vendors address with cus<strong>to</strong>mer address54. Compare vendors with common hotlist that have same address55. Compare vendors with project hotlist that have same name or sameaddress56. Duplicate Check Amounts57. Duplicate Check Numbers<strong>Using</strong> <strong>Data</strong> <strong>Analysis</strong> <strong>to</strong> <strong>Detect</strong> and Deter <strong>Fraud</strong>PricewaterhouseCoopers58. Entities with same addressMarch 2007Slide 38
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