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What is predictive HR analytics?
HR uses a technological technique called predictive HR analytics to forecast future results by analyzing data from the past and present. Digital data mining is used by predictive HR analytics to extract, analyze, and classify information before finding trends, abnormalities, and connections. Data-driven decisions on HR functions are made possible by analytics through statistical analysis and predictive modeling.
How does predictive analytics help human resources?
Predictive HR analytics assists organizations in anticipating challenges so they can:
- Avoid risk
- Reduce human error
- Forecast the typical employee profile that’ll thrive in the organization
- Enhance recruitment practices
- Encourage optimal work performance
Ultimately, predictive HR analytics supports HR directors in making astute choices that can boost total revenue and foster worker motivation, retention, engagement, and productivity.
How labor productivity is increased in human resources using predictive analytics
Predictive analytics in human resources (HR) can significantly improve labor productivity by leveraging data and advanced analytics techniques to make more informed and strategic decisions. Here's how predictive analytics in HR can contribute to enhanced productivity:
- Talent Acquisition and Recruitment
- Employee Retention
- Workforce Planning
- Performance Management
- Employee Training and Development
- Absenteeism and Health Management
- Diversity and Inclusion
- Compensation and Rewards Optimization
By leveraging predictive analytics in these areas, HR can move from reactive decision-making to proactive and strategic workforce management. This not only enhances individual and team productivity but also contributes to the overall success and competitiveness of the organization.
ref: https://www.hibob.com/hr-glossary/predictive-hr-analytics/