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Seven Steps to Creating a Data-Analysis Program to Prevent Fraud

  • Seven Steps to Creating a Data-Analysis Program to Prevent Fraud-
    Click through to see seven steps to building a strong, data-driven fraud prevention plan.
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Seven Steps to Creating a Data-Analysis Program to Prevent Fraud

  • 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8
  • Previous
    Seven Steps to Creating a Data-Analysis Program to Prevent Fraud-1
    Click through to see seven steps to building a strong, data-driven fraud prevention plan.

If anyone was looking for an example of the benefits that continuous controls can bring to an enterprise, the state of the U.S. economy and the fall of some of the largest, most admired financial institutions in the last couple of years provide more than enough data. And instituting a continuous controls process focusing on risks related to fraud is likely now in the plan for many companies this year.

Check out this seven-step outline, provided by Dustin Lewis, CISA, a senior technical consultant with ACL Services, Ltd. for building an analytics-based program that will allow you to focus on risks that have the greatest chance of reducing shareholder value. For example:

  • Extended supply chain re: safety, quality, reliability of suppliers and processes
  • Is there a process to receive and act on regulatory comments or findings?
  • Are pricing strategies consistent with regulations and free from collusion?
  • Can you detect and avoid discrimination with customers, suppliers and employees?

Plus, by focusing on reducing the risk to shareholders, you make management happy, and this can result in a more robust, long-term fraud program.

Also be sure to read Lora Bentley's interview with Peter Millar, director of technology application at ACL Services Ltd., for insights on how to interpret the emotional reaction that discoveries of fraud can create, as opposed to the casual interest many companies take in the situation.