When matching employees to companies one should look at the attributes of both the company as well as those of the employee. Recruiters commonly solve this by scanning applicant’s CVs and performing job interviews with potential candidates. This, besides not being quantifiable, is a very time consuming process of which machine learning and statistical analysis can help to cut assessment times and increase process accuracy. At talent data labs we developed an automated matching algorithm that incorporates cultural and personality analysis, publicly available data and career history. That companies and industries differ culturally is common knowledge. Exactly how they differ, is unclear. For t
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