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.

Abstract: A method and system for analyzing employee retention across an enterprise based on commuter modeling is disclosed. The method can be implemented in a computer system which includes: mapping longitudinal and latitudinal coordinates of address information of a plurality of employees and a work location onto a map, which shows a predefined geographic location encompassing the work location surrounded by the longitudinal and latitudinal coordinates of the address information; obtaining calculated analytics data of employee turnover rate for the plurality of employees based on a commute distance from the work location to each of the longitudinal and latitudinal coordinates of the plurality of employees; and graphically overlaying the analytics data of the turnover rate for the plurality of employees onto the map to show employee turnover rate for different segments of the map.

Abstract: A method and system for analyzing employee retention across an enterprise based on commuter modeling is disclosed. The method can be implemented in a computer system which includes: mapping longitudinal and latitudinal coordinates of address information of a plurality of employees and a work location onto a map, which shows a predefined geographic location encompassing the work location surrounded by the longitudinal and latitudinal coordinates of the address information; obtaining calculated analytics data of employee turnover rate for the plurality of employees based on a commute distance from the work location to each of the longitudinal and latitudinal coordinates of the plurality of employees; and graphically overlaying the analytics data of the turnover rate for the plurality of employees onto the map to show employee turnover rate for different segments of the map.

Abstract: A method and system for analyzing employee retention across an enterprise based on commuter modeling is disclosed. The method can be implemented in a computer system which includes: mapping longitudinal and latitudinal coordinates of address information of a plurality of employees and a work location onto a map, which shows a predefined geographic location encompassing the work location surrounded by the longitudinal and latitudinal coordinates of the address information; obtaining calculated analytics data of employee turnover rate for the plurality of employees based on a commute distance from the work location to each of the longitudinal and latitudinal coordinates of the plurality of employees; and graphically overlaying the analytics data of the turnover rate for the plurality of employees onto the map to show employee turnover rate for different segments of the map.

Abstract: A method and system for analyzing employee retention across an enterprise based on commuter modeling is disclosed. The method can be implemented in a computer system which includes: mapping longitudinal and latitudinal coordinates of address information of a plurality of employees and a work location onto a map, which shows a predefined geographic location encompassing the work location surrounded by the longitudinal and latitudinal coordinates of the address information; obtaining calculated analytics data of employee turnover rate for the plurality of employees based on a commute distance from the work location to each of the longitudinal and latitudinal coordinates of the plurality of employees; and graphically overlaying the analytics data of the turnover rate for the plurality of employees onto the map to show employee turnover rate for different segments of the map.