An automated system and method are disclosed for the optimization of multidimensional skillsets in a hiring process. The system extracts skills from existing individuals in an organization that are then aggregated to build an entity of skills at a company or network level to identify the distribution of skills in aggregate. The method compares a specific organization to a baseline organization to determine the gaps in skills. The external market conditions and the company’s financial data are used as signals to forecast and provide the necessary staffing recommendations. The output provided is a set of job descriptions and compensation information which is integrated into any candidate matching system to reduce the overall hiring time significantly. The system and method would help identify appropriate representation of skillsets in a company and trigger manpower decisions in an objective way, with benefits to the organization in terms of business preparedness.
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Su, Jennifer, "Systems and Methods for Automatic Institution Skills Optimization", Technical Disclosure Commons, (June 03, 2016)