In light of the increased risks of doing business in a volatile global economy, companies would be wise to use data analytic’s tools to more effectively detect possible problems in their supply chains, Mark Pearson, a principal at Deloitte Financial Advisory Services LLP, told Bloomberg BNA in a recent interview.
By proactively identifying and examining anomalies using data analytic’s tools, Pearson said, companies can more likely increase overall profits and mitigate the risk of fraud, waste and abuse with their third party relationships.
Pearson noted that companies that are not already doing so should balance forensic accounting processes with advanced data analytic’s methods to home in on any inconsistencies in their third party transactions. Companies should maintain a “forensic mindset” in examining any “big data” they collect on their supply chains to “provide a clearer context to suppliers and transactions,” he said.
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