Big data intelligent analysis and reminding method and system

Abstract

The invention provides a big data intelligent analysis and reminding method, and the method comprises the steps: S1, collecting basic information and project data of all designers of a department, and storing the basic information and project data in a basic database; s2, identifying all designers with ability labels corresponding to good ability, and analyzing whether the designers corresponding to undertaking projects meet ability and level requirements and project requirements or not and whether the working saturation of the current designers is appropriate or not through extraction operation of multi-dimension associated data in a basic database; whether residual force is available for other projects is judged; and S3, storing a data statistical result into a database, pushing the data statistical result to employees and management post students at the same time, guiding users to perform reasonable allocation, and displaying the statistical data result on a report through a data visualization report, and providing the statistical data result to a company high level for viewing. According to the invention, labor management investment is reduced, and data real-time performance is improved.

Description

technical field [0001] The invention relates to the technical field of computer communication, in particular to a big data intelligent analysis and reminder method and system thereof. Background technique [0002] The company has many projects and they belong to different fields. Each designer may be responsible for multiple projects or only one project. However, due to the different life cycle and importance level of the projects, the corresponding workload is also different. To match the job content and personal characteristics well, it is necessary to analyze the employee's personal index data and project field data, combine multi-dimensional correlation data for statistical analysis, and push the final recommendation results to designated employees and management posts for guidance The post adjustment of the overall department ensures that important projects are able to be matched with employees who are professionally skilled and have an appropriate workload saturation. ...

AI Technical Summary

Problems solved by technology

[0004] (1) The analysis dimension is narrow and subjective, and at the same time lacks fairness. The fit between the personnel and the project is directly related to the development of the project. Both management posts and employees need to have a relatively intuitive and comprehensive understanding of the current overall department situation , in order to make timely job adjustments and guidance

[0005] (2) The data of each dimension system of the company are scattered and stored in various business systems, manual analysis takes a lot of time, and the accuracy and timeliness of multi-dimensional data analysis are not high

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