Question: You are an internal audit data analytics intern at a regional medical center's corporate headquarters. You are running a data analytics test to identify supplier
You are an internal audit data analytics intern at a regional medical center's corporate headquarters. You are running a data analytics test to identify supplier names in the main vendor table that have similarities to employee names in the main employee table. Your analysis is searching for red flags for vendor fraud. You show the output of your test to your manager, who is surprised at the number of results you have generated. Your manager recommends that you review the testing parameters to eliminate any false positives the may have generated. When running data analytics, what is a false positive? What steps must be taken to address false positives? Use the internet to assist in finding an answer.
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