Predictive Analytics for Workforce Retention and Performance: Machine Learning in US HR and Talent Management

Аннотация

This research paper explores the transformative power of predictive analytics, made possible by machine learning, in workforce retention and performance for human resources and talent management in the United States. By using historical data, an organization will be able to identify trends that lead to employee attrition, thus informing targeted interventions aimed at reducing turnover and enhancing employee engagement. The key machine-learning techniques examined in the research are: regression analysis, decision trees, neural networks, and natural language processing. It has also been implemented by leading companies like IBM, Google, and LinkedIn. The important aspects that the study has put across include: data privacy, quality of data, and how it enforces cultural shifts in the entities. Ultimately, it shows that embracing predictive analytics as a strategic tool develops a more effective and engaged workforce in a very competitive world of business. Key Words: Workforce Retention; Predictive Analytics; Machine Learning; Human Resources; Employee Management