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Most organizations lack consistent and holistic view of their workforce. Absence of HR analytics to perform workforce optimization is a major reason behind it. This loss of valuable employees costs heavily to the organization in long term.
Predictive retention modeling prepares organizations to identify high-risk employees, build profiles of those most likely to leave or stay and understand how risk is distributed throughout the organization.
Advanced ML algorithms have been significant in accurately detecting employees at risk of leaving. Applying machine learning algorithms on employee data have shown prominent consequences in learning strengths and vulnerabilities of the workforce. This further helps in predicting vacancies at different levels and leadership requirements.