Fraud Prevention/Detection/Reporting

How Data Analytics Can Reveal Corruption and Fraud

Course Overview
As organizations receive and accumulate more information than ever before, the insights within that data may be difficult to identify by traditional means and may, as a result, remain hidden. Kroll's Deena Coffman explains why companies are increasingly turning to data analytics in order to detect and reduce corruption, fraud, waste and abuse in their enterprise.



Learning Objectives:

Upon successful completion of this segment, you should be able to:
  • Recognize why technology is necessary to combat fraud;
  • Distinguish between "transaction monitoring" and "controls monitoring";
  • Distinguish between "predictive analytics" and "visual analytics."

  • Content Partner:

    SmartPros Ltd.

    SmartPros Ltd. is a leader in online and offline continuing education for
    accounting, finance and engineering professionals. With over 2,000 hours of
    content, SmartPros has been providing mandatory continuing education
    products since 1981. SmartPros provides services and content to its
    professional and corporate clients, in a variety of media including Web, CD
    ROM, and video. In the accounting market, SmartPros also has a predominant
    news and information portal which receives 200,000+ visits per month and
    provides services to over 100,000 subscribers. SmartPros' customers include
    50% of the Fortune 500, as well as the major firms and associations in each
    of its professional markets.


    Prerequisites/Advanced Preparation:

    Work experience in a corporate staff position, or an introductory course in management

    Speaker / Author:

    SmartPros Ltd.

    Software & Hardware Requirements:

    • 56k or Greater Internet Connection
    • Adobe Acrobat® Reader for the .pdf files
    • Adobe® Flash® Player 9 or higher
    • Modern DHTML Compatible Browser
    • Ram: 256 MB minimum
    • Sound card with speakers/headphones
    • Windows or Mac OS

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    Price (USD)

    Standard Rate: $24.95

    Details

    Course Code : 99SPK10

    Release Date : 04/24/2014
    Expire Date : 05/01/2020
    Credits :
    CPE 1.00
    QAS 1.00

    Course Level : Update
    Course Type : New Standards
    Length : 50min
    Passing Grade : 70%
    Field Of Study : Accounting
    Theme : Fraud Prevention/Detection/Reporting

    Format Type : eLearning
    Mobile Compatible

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