Detecting and Preventing Fraud

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    Detecting andPreventing FraudCharles B. Hall, CPA, CFE, MAcc

    [email protected]

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    Overview

    Who commits fraud?

    Where does fraud occur?

    How to detect fraud?How to prevent fraud?

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    Statistical Information

    The statistical information in

    this presentation was takenfrom the 2012 Report to the Nation as published by the

    Association of Certified FraudExaminers

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    Who Commits Fraud?

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    Tax

    Commissioner

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    Cancer Society

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    HealthDepartment

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    Sometimes lossescome with sirensand warnings...

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    Natural disaster $20 billion indamages

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    Fraud$3.5 trillionin damages

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    Unlike a hurricane,fraud moves quietly

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    But the damage is just as real

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    A typicalorganization loses5% of revenues

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    Median loss$140,000

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    What does afraudster look like?

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    Trusted Employee

    Employee has been with the

    company for a whileEmployee is well known and

    often well liked

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    Trusted Employee

    Employee is trusted

    Employee is usually male

    Employee is usually in his or her 40s or 50s

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    Will a policechief steal?

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    How about a CEO?

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    87% - First time

    offenders with cleanemploymenthistories

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    Trust

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    Higher levelauthority =breakdown insegregation of

    duties

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    Losses by Level

    Level Median Loss

    Owner/Executive $573,000

    Manager $180,000Employee $60,000

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    One-fifth of

    frauds weregreater than$1 million

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    Time untilfraud is

    detected?

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    18 Months

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    Where DoesFraud Occur?

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    Where?

    Type Percent Median Loss

    AssetMisappropriation 87% $120,000

    FinancialStatement Fraud 8% $1,000,000

    Corruption 33% $250,000

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    Where?

    Type Percent

    Billing 26%

    Corruption 25%

    ExpenseReimbursement 17%

    Skimming 16%

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    Where?

    Type Percent

    Non-cash 15%

    Check tampering 15%

    Payroll 11%

    Cash on hand 11%

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    Billing and

    corruption made up50% of the

    reported fraud

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    Size of Organization

    Number of Employees Percent of Cases

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    Control Weaknesses

    Control Weakness Percent of Cases

    Lack of controls 35%

    Override of controls 19%

    Lack of review 19%

    Poor tone at top 9%

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    How toDetect Fraud

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    Fraud Detection

    Implement a hotline

    Implement data mining tomonitor operations

    Perform surprise audits

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    Fraud Detection

    Segregate duties

    Educate your employeesabout fraud

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    Initial Detection

    Detection Percent

    Tip 43%Management

    review 15%

    Internal audit 14%

    By accident 7%

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    Initial detection byconfession - 1%

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    Tips

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    Source of Tips

    Source Percent

    Employee 51%

    Customer 22%

    Anonymous 12%

    Vendor 9%

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    Internal Controls

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    Segregation of duties

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    Managementreview procedures

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    Data mining

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    Data Mining Sof tware

    IDEA

    ACL

    Topcaats Active Data

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    Big brother?

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    Trust but

    verify

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    How toPrevent Fraud

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    You cannot preventall fraud

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    But there is anotable decreasewhen anti-fraudcontrols are in

    place

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    And

    time-to-detectiondecreases

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    49% of victimsrecovered $0

    after frauddetection

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    Many businesseswill not prosecute

    due tonegative publicity

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    Oops...Where did $53 million go?

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    An ounce of prevention...

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    Balance

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    Prevention Steps

    Create a heat map

    Implement controls to preventor detect theft

    Monitor your controls

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    Prevention Steps

    Perform surprise audits

    Prosecute when fraud isdetected (send a message)

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    Conclusion

    McNair, McLemore, Middlebrooks & Co., LLC

    Office number: 478-746-6277Contact:

    Charles Hall at [email protected] cpa-scribo.com (accounting and auditingblog)

    mailto:[email protected]:[email protected]