How do large companies reuse candidate data across business units instead of sourcing from scratch?

Large companies reuse candidate data by scanning their entire candidate history across all business units for new openings. This approach prevents each division from starting its searches from scratch. A candidate who may not fit a role in one division might be a perfect match for another, but that connection won’t be found unless the search encompasses the whole organization.

Most enterprise ATS and HRIS platforms store candidate records by requisition or business unit, without automatically linking them. A candidate who applied for a marketing role in one region remains hidden from similar openings in another region unless a recruiter manually searches for that specific name.

Cross-business-unit reuse works by scanning the complete stored candidate history against the requirements of a new job, regardless of which division or country the candidate originally applied to. A finance candidate evaluated for one subsidiary can be identified for a similar role at another subsidiary as soon as that role opens, based on the new job's actual requirements rather than the previous ones.

Enterprises use tools like Skima AI for role match that directly support this process. It starts from a candidate's profile and returns every open job across the connected system that they match, ranked by score, no matter which business unit originally sourced them. Documented pilots across enterprise ATS platforms, including Workday and SAP SuccessFactors, report that time-to-screen drops by 58% or more once this cross-unit reuse replaces independent sourcing.

The value increases with the level of fragmentation in an organization's hiring. A company with many business units each sourcing independently has more untapped value in its candidate history than one with a single centralized recruiting function.