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
- Emilio Aguinaldo College (PH)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-07-13
- DOI
- https://doi.org/10.5281/zenodo.15874221
- Primary Topic
- Human Resource and Talent Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00