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, computer system, and computer program product for displaying contextually relevant insights into human resources information. Human resources information from a human resources profile of an employee of an organization is displayed within a context of an operation to be performed for the organization. The human resources information is identified within related information. Whether the related information is relevant to the context of the operation to be performed is determined. In response to determining that the related information is relevant to the context of the operation to be performed, an insight into the human resources information is generated based on a data point for the human resources information within the related information. The insight is displayed with the human resources information within the context of the operation to be performed. Performing the operation is enabled using the insight displayed with the human resources information.

Abstract: A method and apparatus for normalizing data. A computer system receives category data for a first code from a first client of a plurality of clients. The computer system also generates a category rule based on the category data. The computer system also assigns a category to a second code of a second client of the plurality of clients using the category rule. The category data is generated using input from the first client. Assigning the category to the second code of the second client comprises selecting the category rule to use to assign the category to the second code from a plurality of category rules.

Abstract: A method, computer system, and computer program product for displaying contextually relevant insights into human resources information. Human resources information from a human resources profile of an employee of an organization is displayed within a context of an operation to be performed for the organization. The human resources information is identified within related information. Whether the related information is relevant to the context of the operation to be performed is determined. In response to determining that the related information is relevant to the context of the operation to be performed, an insight into the human resources information is generated based on a data point for the human resources information within the related information. The insight is displayed with the human resources information within the context of the operation to be performed. Performing the operation is enabled using the insight displayed with the human resources information.

Abstract: A method and apparatus for normalizing data. A computer system receives category data for a first code from a first client of a plurality of clients. The computer system also generates a category rule based on the category data. The computer system also assigns a category to a second code of a second client of the plurality of clients using the category rule. The category data is generated using input from the first client. Assigning the category to the second code of the second client comprises selecting the category rule to use to assign the category to the second code from a plurality of category rules.