Predictive analytics can be used to support human decision-making in recruitment.
This involves using historical data and statistical algorithms to forecast future outcomes. By analysing patterns in past hiring data, companies can predict which candidates are likely to succeed in specific roles, thereby improving the quality of hires and reducing turnover rates. For example, predictive analytics can be used to assess the potential success of candidates based on factors such as education, work experience, and cultural fit. This allows HR teams to prioritise candidates who are more likely to thrive within the organisation, leading to more efficient recruitment processes and better long-term outcomes.
The process may be viewed as a series of stages.
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