Research on the Application of Big Data Mining in Enterprise Talent Prediction and Talent Retention

This study examines the utilization and benefits of big data mining technology in predicting enterprise talent. It begins by elucidating the technical foundations of big data mining and the current landscape of talent forecasting in enterprises, establishing the fundamental role of big data mining in this domain. Subsequently, it delves into the advantages of big data mining in precise talent prediction and efficient talent retention, offering substantial backing for sustained enterprise growth. Moreover, practical strategies for leveraging big data mining in enterprise talent prediction and retention are proposed, encompassing both talent prediction and retention practices. By delineating these strategies, the study aims to furnish enterprises with a comprehensive talent management framework to navigate the intensifying market competition. Ultimately, the study underscores the pivotal role of big data mining in enterprise talent prediction and retention, while also contemplating future trends in this field.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-07-13
DOI
https://doi.org/10.5281/zenodo.15874220
Primary Topic
Global trade and economics
Type
article
Field-Weighted Citation Impact
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article

Research on the Application of Big Data Mining in Enterprise Talent Prediction and Talent Retention

Zenodo (CERN European Organization for Nuclear Research)
Global trade and economics
article

Research on the Application of Big Data Mining in Enterprise Talent Prediction and Talent Retention

article en

Abstract

This study examines the utilization and benefits of big data mining technology in predicting enterprise talent. It begins by elucidating the technical foundations of big data mining and the current landscape of talent forecasting in enterprises, establishing the fundamental role of big data mining in this domain. Subsequently, it delves into the advantages of big data mining in precise talent prediction and efficient talent retention, offering substantial backing for sustained enterprise growth. Moreover, practical strategies for leveraging big data mining in enterprise talent prediction and retention are proposed, encompassing both talent prediction and retention practices. By delineating these strategies, the study aims to furnish enterprises with a comprehensive talent management framework to navigate the intensifying market competition. Ultimately, the study underscores the pivotal role of big data mining in enterprise talent prediction and retention, while also contemplating future trends in this field.

Zenodo (CERN European Organization for Nuclear Research)
Emilio Aguinaldo College (PH)
Industry, innovation and infrastructure
Openalex Percentile: Top 41%
Global trade and economics
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Research on the Application of Big Data Mining in Enterprise Talent Prediction and Talent Retention · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS