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财务异常检测
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针对企业月度财务报表，识别并解释偏离历史基线的异常交易模式。
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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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请分析提供的企业月度财务数据集，重点识别过去十二个月中偏离历史基线超过两个标准差的异常交易模式，并解释这些波动背后的潜在业务原因，如季节性因素或一次性支出，最终生成一份简明报告，列出前三大异常项及其对现金流的影响评估。
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