Research on Cadre Appointment Decision-Making Based on Data Analysis

© 2025 by the Authors. Licensee Whioce Publishing, Singapore. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution 4.0 International License ( https://creativecommons.org/licenses/by/4.0/ )

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Abstract

This paper introduces the theoretical foundations of data-driven models for cadre appointment decision-making and elaborates on the policy and legal frameworks that govern their application. It explains key components such as the integration of multi-source heterogeneous data and the construction of a comprehensive cadre profiling system. The study also addresses precise demand analysis and matching, performance feedback during the tenure period, and related processes. Furthermore, it reviews current progress and existing limitations, and discusses future development trends in data-driven cadre management and decision-making.

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