
candidate select GmbH
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University students spend a considerable amount of time and money on earning a degree, yet it provides little actual signalling value to recruiters. With each university having different grading standards and practices, how can hiring teams reliably interpret the results?
By gathering and standardising data on grade distributions and the competitiveness of programmes, CASE's algorithm places qualifications into context, revealing where applicants stand among their subject-specific peers as well as with all graduates nationwide - automatically and in real time.
CASE reduces the risk companies face in hiring young professionals, helping employers to properly select a candidate according to a reliable long-term performance indicator, rather than raw grades or university reputation. This not only makes finding top talent easier, but also ensures applicants from more competitive or smaller institutions are not overlooked.
CASE is passionate about making recruitment fairer – for everyone.
Keywords
assessment of education degrees, hr, people analytics, algorithmic recruiting, educational data
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