{"id":516946,"date":"2024-10-03T09:40:11","date_gmt":"2024-10-03T04:10:11","guid":{"rendered":"https:\/\/www.springworks.in\/blog\/?p=516946"},"modified":"2025-09-07T20:14:54","modified_gmt":"2025-09-07T14:44:54","slug":"data-driven-recruitment-101-using-analytics-to-make-better-hiring-decisions-in-conversation-with-shannon-ogborn","status":"publish","type":"post","link":"https:\/\/blog.springworks.in\/data-driven-recruitment-101-using-analytics-to-make-better-hiring-decisions-in-conversation-with-shannon-ogborn\/","title":{"rendered":"Data-Driven Recruitment 101: Using Analytics to Make Better Hiring Decisions | In Conversation with Shannon Ogborn"},"content":{"rendered":"\n
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Access to data is just the first step; the second step is discovery, to really build a full picture of what the data is actually saying<\/p>\n<\/blockquote>\n\n\n\n

In the hiring landscape today, data has become the backbone of recruitment strategies. By leveraging data-driven techniques, such as automating pre-screening and shortlisting processes, companies can save up to 23 hours<\/a> of manual labor every week.<\/p>\n\n\n\n

But the benefits don\u2019t stop there. Using in-depth data allows organizations to make smarter hiring decisions, identify ideal candidates more accurately, and reduce both the time and costs associated with recruitment. This approach not only improves the quality of hires but also helps reduce bias and streamline the entire hiring process<\/a>.<\/p>\n\n\n\n

I spoke to Shannon Ogborn,<\/a> Community Lead and Recruiting Advisory at Ashby<\/a> to understand what role data plays in improving the recruitment process. Shannon also hosts Ashby’s “Offer Accepted” podcast<\/a> and manages the Recruiting Operations community, using these platforms to foster discussions and share valuable insights across the industry.<\/p>\n\n\n\n

In this article, we will:<\/p>\n\n\n\n