Abstract
Human resource data analytics are more important now than ever before. An
increasing number of businesses are delving ever deeper into the data they collect about
their employees, their success, and their well-being. Recruitment analytics can assist in
making smarter, data-driven selection, recruiting, and sourcing decisions. This
technology will scan hundreds of resumes at once to provide the best possible fit for a
particular job opening. An organisation can submit automated emails with an interview
appointment that automatically sinks with the work calendar using modern recruiting
software. The organisation may use automated disqualification of unqualified
applicants to automatically screen application forms and exclude candidates who aren't
qualified. Effective recruitment is a mix of science and art. It necessitates the
implementation of repeatable processes that produce consistent results.
Keywords: Recruiting analytics, Time to fill, Artificial Intelligence screening, Optimum Productivity Level, Selection Ratio, Attrition rate, Employee Life Cycle.
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