What is the workflow sequence for data monitoring?

Data monitoring uses data indicators to supervise and control data. The workflow sequence of data monitoring is: 1. Formulate monitoring goals; 2. Clarify the main indicators of monitoring; 3. Analyze the influencing factors of each indicator; 4. , data warning.

The operating environment of this tutorial: Windows 7 system, Dell G3 computer.

What is data monitoring?

Monitoring, as the name suggests, is supervision and control. In theory, supervision and control do not need data. For example, traditional workshop directors, production captains, and invigilators are all front-line on-site supervision and control. However, the headquarters of an enterprise group thousands of miles away cannot send clairvoyants and ears to supervise on-site. Hence data monitoring: supervision and control through data indicators. When the business becomes complex, single data cannot meet the monitoring needs, so a data monitoring system is developed.

Data monitoring is a means of timely and effective feedback on data anomalies. By monitoring the data, we can observe whether there are abnormalities and then analyze the data.

Workflow sequence of data monitoring

①Establish monitoring goals

②Clear the main indicators of monitoring

③Analyze each indicator Influencing factors

④Data warning

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