The Skill Engine leverages a system of metrics and reports to provide
individual and aggregated insights about its entities. In essence, you can see
a metric as a single number representing some amount of information
about an entity or a collection of entities of the same type. Below, you can
see a handful of examples of metrics available through the Skill Engine API:
Employability of an Employee
Average employability of all Employees
Count for a given Skill in a set of entities
Skill level for a given Skill and Employee
A report aggregates those metrics into a clear overview.
Employability for all Employees
High-level skill distribution of the company
Current position alignment for all Employees
Reports are structured to enable you to combine them with different data
sources inside your own BI tooling. For this reason, metrics tend to provide
insights (e.g. an overall indication of your skills health), whereas the focus
of reports is generally to aggregate these across a population.