Recruitment analytics is the detection, interpretation, and simplification of meaningful patterns for sourcing, selecting, and hiring. This means that data is used to find and explain patterns in data.
Recruiting analytics can answer many questions, including:
Which sourcing channel provides the best candidates?
What is the cost of hire for a position?
What do my best candidates have in common?
Where is my recruitment funnel do most candidates drop out? Being able to answer these questions is essential to improve decision-making in recruitment.
Predictive analytics in recruitment is the process of using historical data to make predictions about future hiring activities and candidates.
In recruitment and selection, this process allows us to predict better ways to source, assess, and select candidates.