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Financial Anomaly Detection
Identify and explain anomalous transaction patterns deviating from historical baselines in monthly financial reports.
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Analyze the provided monthly enterprise financial dataset to identify transaction patterns deviating more than two standard deviations from historical baselines over the past twelve months, explain the potential business reasons for these fluctuations such as seasonal factors or one-time expenses, and generate a concise report listing the top three anomalies along with their impact assessment on cash flow.
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