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• Save raw data in original format. • Use & abuse copies of data but; • finished product should be prepared for end user(s) in a consistent and understandable format. • Test for negative AND positive deviance. • Apply other analytics: • Benford’s Law, text analysis • Whenever possible, segregate analysis phase to reduce risk of bias. Analysis
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Processing Data • Why audits on paper suck: ITS PAPER! • Why free text sucks:
• Even aggressive search algorithms struggle to return accurate results for free text searches because there is so much more data to analyze. • Spelling, spaces and punctuation are hurdles too. • Any user defined input is problematic for the same reasons. • Strong tools will allow the removal of records from the first list returned. With this, false positives can be hidden to produce an accurate log view.
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