When bad data looks right: The hidden risk of automated reporting
AccountingBusiness AnalyticsInformation Systems
THE AI ANGLE
Handling and interpreting enterprise dataAutomated reporting systems process flawed inputs through multiple calculations until the final metrics appear credible. Teams must now place validation rules directly at data entry rather than auditing finished reports. Organizations also need to preserve traceability back to original source data.
THE TEACHING ANGLE
Relying on automation speeds up reporting but removes the human scrutiny that catches implausible inputs.Read the original at techradar.com Generate teaching or study materials
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