Designing a Predictive Model for Audit Data Analytics of Manufacturing Industry
Keywords:
Audit Data Analytics, Predictive Modeling, Manufacturing Industry, Machine Learning, Risk Assessment, Fraud DetectionAbstract
Audit functions in the manufacturing sector are facing growing pressure as transactionvolumes, supply chain complexity, and regulatory expectations keep rising. Traditional auditsampling, which examines only a small portion of transactions, is no longer enough to detect
fraud, errors, and process irregularities in large manufacturing firms. This paper proposes a predictive model for audit data analytics tailored to the manufacturing industry
References
1: Mayank Atreya, Navin Chhibber, Harvendra Singh, Explainable Machine Learning For Dynamic Pricing In Fast-Changing Retail Environments, 2022/4/9, Journal ,Available at SSRN 6011354, https://scholar.google.com/citations?view_op=view_citation&hl=en&user=fyViF1UAAAAJ&citation_for_view=fyViF1UAAAAJ:LkGwnXOMwfcC.
