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 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: Career coaching comprising defining a number of employment positions, wherein each employment position comprises a number of required skills. Relationships between the employment positions are modeled, wherein the model maps potential transitions between employment positions according to similarities of required skills. A number of persons who have occupied the employment positions are modeled according to skills, employment history, and job performance. A user provides user data that comprises skills, employment history, and job performance. The user data is compared to the modeled persons, and a number of potential employment opportunities from among the number of employment positions are matched to the user based on similarities between the user and the modeled persons. The potential employment opportunities are then displayed to the user on 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, an apparatus, and a computer program product for digitally presenting a statistically relevant business insights into a set of business metrics for an organization. A computer system generates a plurality of dimension aggregates for facts of human resources data across a plurality of different combinations of dimensions of human resources data. The computer system identifies a set of comparable aggregates among the plurality of dimension aggregates based on an intersection of the dimensions of human resources data among the different combinations. The computer system generates a set of statistics for each comparable aggregate of the set of comparable aggregates. The computer system generates a business insight into the set of business metrics of the organization based on the set of statistics for the set of comparable aggregates. The computer system digitally presents the business insight.

Abstract: A method, computer system, and computer program product for digitally presenting a human resource competitive model for an organization. A computer system identifies organizational data for the organization, including business metrics. The computer system determines a most similar group among a set of flexible comparison groups in each of a set of comparator categories by applying a set of comparison models to the organizational data. The computer system identifies a metrics distribution for the flexible comparison group based on benchmark metrics for a subset of benchmark organizations that has been grouped into the flexible comparison group. The computer system compares the business metrics for the organization to the metrics distribution for the flexible comparison group to determine a human resource competitive model for the organization across a set of business functions. The computer system digitally presents the human resource competitive model for the organization across the set of business functions.

Abstract: A computer-implemented method for processing information in a big data environment. A target query is received. The target query is run against a catalog to obtain desired fields for search and to filter for specific targets from which data will be extracted. Responsive to the query, particular data is extracted from the specific targets. Extracting includes defining a query pack comprising a configuration file and one or more files containing queries to execute on each target in the specific targets, the configuration file containing a section for each of the one or more files to customize configurations for each of the one or more files, and particular connection information defining relationships among the specific targets. One ingestion daemon is executed for every file of the one or more files in the query pack to produce results. The results are processed in a distributed parallel computing environment.

Abstract: A computer-implemented method for processing information in a big data environment. A target query is received. The target query is run against a catalog to obtain desired fields for search and to filter for specific targets from which data will be extracted. Responsive to the query, particular data is extracted from the specific targets. Extracting includes defining a query pack comprising a configuration file and one or more files containing queries to execute on each target in the specific targets, the configuration file containing a section for each of the one or more files to customize configurations for each of the one or more files, and particular connection information defining relationships among the specific targets. One ingestion daemon is executed for every file of the one or more files in the query pack to produce results. The results are processed in a distributed parallel computing environment.