Business data decision-making method and device, electronic equipment and storage medium

The invention provides a business data decision-making method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring business cost data; and inputting the service cost data into a pre-trained multi-stage cascade abnormal index detection model to obtain an abnormal data detection result. According to the method, the traditional machine learning and deep learning models are subjected to cascade detection, whether the current cost is abnormal or not is judged from coarse granularity to fine granularity, progressive layer by layer is achieved, it is guaranteed that obvious anomalies can be rapidly positioned, and it is also guaranteed that slight anomalies can be captured. 本发明提供业务数据决策方法、装置、电子设备及存储介质，包括：获取业务费用数据；将业务费用数据输入至预先训练好的多阶段级联异常指标检测模型中，得到异常数据检测结果。本发明通过将传统机器学习和深度学习模型级联检测，由粗粒度到细粒度判断当期费用是否存在异常，层层递进，既保证了明显异常能够被快速定位，又保证了轻微异常能够被捕捉。