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財務異常偵測
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針對企業月度財務報表，識別並解釋偏離歷史基線的異常交易模式。
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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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請分析提供的企業月度財務數據集，重點識別過去十二個月中偏離歷史基線超過兩個標準差的異常交易模式，並解釋這些波動背後的潛在業務原因，如季節性因素或一次性支出，最終生成一份簡明報告，列出前三大異常項及其對現金流的影響評估。
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