Re-imagining the art and science of auditing and fraud detection is coming to the forefront of risk management functions. What was seen as a “nice to have” a few years ago has become a “must have” as digital transformation and data surrounds all aspects of the organization.
Specific learning objectives include:
o See how analytics can maximize the annual audit plan and better ensure focus is placed on top organizational risks. o Establish a framework to using analytics and automation across the entire audit lifecycle. o Use the general ledger and revenue audit areas as a case study to provide a digital road map for analytics for detecting fraud (and errors) within the organization.
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