This training course is under development. It will be the foundation for the Automated Fraud Detection and Artificial Intelligence courses.
According to the Association of Certified Fraud Examiners (ACFE), organizations that use data analytics experience 47% lower fraud losses than those that do not.
Such programs can be usefully applied by auditors, investigators and oversight personnel in large and small organizations and can:
- Detect irregularities much more quickly and accurately than in traditional audit or oversight methods
- Almost instantly analyze 100% of large data sets, rather than being limited to smaller sample sets
- Be programmed to run continuously to proactively identify potential fraud and corruption, as discussed in more detail below under “Integrity Filters.”
The training will cover how to apply analytics in all phases of an infrastructure, development and humanitarian aid project, including how to:
- Choose the most appropriate software and tools
- Select, prepare and clean the relevant electronic data
- Identify and detect the most significant indicators of misconduct
- Limit the collection of false positives
- Effectively interpret and follow up on the results, including how to conduct online background checks on the firms and individuals involved and take other steps to convert indicators to evidence
- Link data analytics to whistleblower and other anti-fraud programs
The course materials also will include comprehensive lists of proven indicators of fraud and corruption in the procurement, implementation and payment stages of projects, as well as practical exercises and examples from actual cases.