This post was originally published on this site
This is part of a series of blogs taken from the sessions at our Annual Conference in October.
In this session, Barny Ritchley from CV Library looked at how to use data analytics to improve performance in recruitment.
We generate a staggering 147 zettabytes annually, with this volume doubling every two years. Yet, despite this abundance, 41% of data held in the UK is unused or unwanted, highlighting a critical gap between data availability and meaningful use. For recruitment, data analytics offers transformative possibilities to enhance hiring efficiency and accuracy, allowing both candidates and recruiters to experience a more seamless process.
The Role of AI in Recruitment Analytics
Artificial intelligence (AI) has revolutionised the recruitment landscape, enabling data cleansing, advanced analytics, predictive insights, and robust visualisations. This shift is invaluable for organisations aiming to improve hiring quality while ensuring that performance metrics remain aligned with realistic, actionable goals. However, the real question is: What do we mean by “performance” in recruitment?
Enhancing Candidate and Recruiter Experiences
To gain a clearer picture of the recruitment challenges, CV Library conducted surveys with both candidates
