1. A method comprising: configuring, by a computer system comprising computer hardware, a human-capital-management (HCM) master taxonomy and a HCM language library; wherein the HCM master taxonomy comprises a plurality of levels that range from more general to more specific, each level of the plurality of levels comprising a plurality of nodes; wherein the plurality of levels comprises a job-species level and a job-family level, the job-species level comprising a level of greatest specificity in the plurality of levels, the job-family level comprising a level of specificity immediately above the job-species level; transforming, by the computer system, human-capital information via the HCM language library; classifying, by the computer system the transformed human-capital information into a job-family node selected from the plurality of nodes at the job-family level; analyzing, by the computer system, selected attributes of a plurality of job-species nodes, the plurality of job species comprising ones of the plurality of nodes at the job-species level that are positioned beneath the job-family node; and wherein the analyzing comprises: identifying differences between node attributes of the plurality of job species; for each identified difference of the identified differences, analyzing an impact of the identified difference on a spotlight attribute; and determining one or more of the node attributes to be key performance indicators (KPIs) for the spotlight attribute.
1. A method comprising: configuring, by a computer system comprising computer hardware, a human-capital-management (HCM) master taxonomy and a HCM language library; wherein the HCM master taxonomy comprises a plurality of levels that range from more general to more specific, each level of the plurality of levels comprising a plurality of nodes; wherein the plurality of levels comprises a job-species level and a job-family level, the job-species level comprising a level of greatest specificity in the plurality of levels, the job-family level comprising a level of specificity immediately above the job-species level; transforming, by the computer system, human-capital information via the HCM language library; classifying, by the computer system the transformed human-capital information into a job-family node selected from the plurality of nodes at the job-family level; analyzing, by the computer system, selected attributes of a plurality of job-species nodes, the plurality of job species comprising ones of the plurality of nodes at the job-species level that are positioned beneath the job-family node; and wherein the analyzing comprises: identifying differences between node attributes of the plurality of job species; for each identified difference of the identified differences, analyzing an impact of the identified difference on a spotlight attribute; and determining one or more of the node attributes to be key performance indicators (KPIs) for the spotlight attribute. 17. The method of claim 1 , the method comprising determining, via the determined KPIs, that the transformed human-capital information should be placed into one of the plurality of job-species nodes.