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:
A report aggregates those metrics into a clear overview.
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.
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:
A report aggregates those metrics into a clear overview.
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.