Skills analytics dashboards
This use case would allow to answer needs such as :
- As an organization (employer, training, community), I would like to be able to access aggregate skills data on a territory to establish precise statistics on the needs and prediction of skills in order to orient my recruitment policy, the financing of my training courses or the development of new training.
This use case enables stakeholders to build Skill-Analytics Dashboards with underlying skill-analysis services to provide a flexible tool to support L&D departments and other stakeholders. These Skill-analytics dashboard shall be able to aggregate and analyse skill-data coming from different sources within an organisation but also across different organisations and regions.
The skill analytics dashboard service will be offered within the European Skills Dataspace. Organisations with the respective access rights will be able to book the service and feed the service with skill-data that match their needs and of course the access policies. Ideally, the tool proactively suggests to the organisation skill-datasets that match their requirements and the policies and rules. The user can then load the data, trigger analyses and drill-down the information to the respective level of granularity. Potential views of the dashboard - which need to be designed with stakeholders within the SIMPL project - are:
- Skill-status analysis: Which skills and levels are available within an organisation by how many staff members in which department, region, company branch etc.
- Skill-gap analysis: L&D manager can feed into the tool known job profiles of the organisation required to be able to offer the services. The tool helps to find skill-gaps, viz. for which skills does the company lack sufficient staff members in a specific region.
- Skill-status comparison: Compare the skill-status of different but related departments / organisations / regions.
- General analyses: Show typical current and expected future job profiles of a selected industry sector
These Dashboards will be useful in particular for larger multi-national companies or for public institutions responsible for skill and personnel planning in distributed organisations (across regions or even countries). The tool can also be used by educational training providers to analyse how they should update their educational offers to respond to skill-needs of the market.
The implementation of such a service requires that (anonymized) skill-data and skill-models are shared on a broad basis by different stakeholders in different sectors and domains so that models can be trained to analyse current and predict future skill-needs. Relevant dataset concern e. g. skill-profiles for certain job roles, (anonymized) skill-profiles of individual users, organisational structures and groups, information about domains and sectors etc. For example, data from different sources, in different formats, following different skill-taxonomies need to be mutualized before they can be aggregated and analyzed in the skill-analytics dashboard.
In order to make such a use case a reality, different building blocks are needed. Prometheus-X is developing them:
- Skills data interop: to allow the translation of profiles into competences, to ensure interoperability between the different repositories and data models concerning competences, to allow the tracing of the recognition and validation of a competence.
- inter-repository translators: algorithms capable of semantically linking skills repositories to each other and to central repositories, thus making it possible to create a first ontology, making it possible to link sectorial skills (for example, to identify the skills of an individual using different repositories)
- distributed data visualisation: to allow results of matchings (jobs, trainings, ressources) to be shown wherever the user is and without
Prometheus-X gathers numerous organisations, data and AI providers that can make these use cases happen: