Publication number: 20220383225
Abstract: A method, apparatus, system, and computer program code for digitally presenting a comparison of labor resource allocations between organizations. A computer system identifies employee data for a set of employees. The employee data includes job titles, and job descriptions. Using a set of machine learning models, the computer system extracts skills data from the job descriptions. Based on the skills data extracted from the job descriptions and using the set of machine learning models, the computer system maps the job titles to normalized titles within a job taxonomy that governs relationships between business functions, subfunctions, and the normalized titles. The computer system determines a resource allocation for an organization over each of the normalized titles. The computer system generates a granular comparison of the granular resource allocation to a set of benchmark allocations. The computer system digitally presents the granular comparison in a graphical user interface.
Type:
Application
Filed:
September 1, 2021
Publication date:
December 1, 2022
Inventors:
Jack Berkowitz, Amin Venjara, Zafrir Babin, Brent Weiss, Justo Pastor, Malvika Tiwari, Cory Schamble, Hafeez Raji, Mathew Skaria, Sreenath Kodedala, Szabi Nagy, Anuj Singh, Kishore Bangali, Rajan Patel, Siva Bangaru, Manoj Oleti, Nakul Kapoor, Zeeshan Anwar, Mark Anthony Maraj, Vibhor Shukla, Michael Ratcliff, Leon Liu, Anil Dhotre, Annette Allen, WaiWah Pak, Pallavi Renati, Praveen Kumar Kommineni