Abnormal Order Monitoring

  • Last update:June 20, 2024
  • Overview

    This document introduces how to further identify abnormal orders and find issues directly through data explanation.

    Example

    Gross Margin Trend Analysis

    The previous document shows data anomalies exist in Dove Chocolate at Changsha Meixihu Store in August.

    Based on the original filter conditions, you can further filter out data of Dove Chocolate in Product Name to create a gross margin trend chart.

    5d88d0e3cc4e033152dc5ae81312799.png

    The chart shows that on August 17, 2018, data anomalies appear in Dove Chocolate at Changsha Meixihu Store.

    Order Details

    Next, you can further analyze which orders have issues by creating a detail table of product orders. For details, see Detail Table.

    c9e22f8e291428c3c0f8614dd8624ff.png

    Indicator data optimization: You can mark the gross profit value less than 0 in red with a downward arrow, and the one greater than 0 in green with an upward arrow.

    图片1.png

    You can perform Filter Detail to a detail table. For details, see Detail Filtering.

    1.gif

    Dashboard and Linkage Setting Addition

    Next, you can create a dashboard. Drag the completed components into the dashboard, and perform linkage settings on the dragged components. For details, see Adding Components to Dashboards and Setting Linkage Between Components

    Issue Checking Through Data Explanation

    In addition to using tables/charts, you can use the data explanation function to automatically drill down for analysis. For details, see Data Explanation.

    Subsequent Operation

    After following the steps in this document, you can move on to the next document Dashboard Layout and Beautification for further learning.

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