Data analysis-based reentry personnel assessment method and device and computer device

Abstract

The invention discloses a data analysis-based reentry personnel assessment method and device, a computer device and a storage medium, and the method comprises the steps of calling historical in-driverperformance conditions of personnel from a database; calculating a historical performance score A of the personnel according to the historical performance rating condition; calculating a historical level adjustment score B of the personnel according to the historical level adjustment condition; according to the historical attendance condition, calculating a historical attendance score C of the personnel; calculating a historical reward and punishment situation score D of the personnel according to the historical reward and punishment situation; calculating a historical leader recommendation score E of the personnel according to the historical leader recommendation condition; and obtaining an evaluation result based on the historical performance score A, the historical level adjustment score B, the historical attendance score C, the historical reward and punishment situation score D and the historical leader recommendation score E. According to the method, the quality of reentry personnel is evaluated in a data analysis mode by adopting secondary utilization of the stored data, and the method has the technical effects of high efficiency and accuracy.

Description

technical field

[0001] The present application relates to the field of computer and data analysis, in particular to a method, device, computer equipment and storage medium for assessing re-entry personnel based on data analysis. Background technique

[0002] At present, the re-entry of outsourced personnel to the company only reviews the personnel situation by manually checking and evaluating resumes, qualification certificates, etc., and it is impossible to see the historical work performance of the re-entry personnel in the company. The past on-site performance and performance evaluation of outsourced personnel have a high reference value, which can help predict the working status and working ability of outsourced personnel re-entering the company. Existing technologies lack automatic quality assessment methods for re-entry personnel. However, the present application can use the database storing the historical data of the personnel to automatically evaluate the quality of...

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