Matching Talent to the Jobs of Tomorrow A Guidebook for Public Employment Services 2025
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Organize and standardize all the
collected data into unified frameworks
to enable efficient analysis.2 Innovative solutions and use cases
Step 2: Data structure
and standardizationDisruptive trends:
tech provider perspectives
Pivot skill ontology technologies are key to the
future of standardization, enabling a universal
language that integrates diverse taxonomies.
This allows public employment services to
connect job seekers with opportunities
globally by accurately interpreting profiles
across markets.Innovative approaches
Public employment services could adopt a
unified framework for labour market data, using
tools like taxonomy management systems –
such as taxonomy-as-a-service (TaaS) – and
ontology editors to align with global standards.
NLP technologies can automate the structuring
of unstructured data and address multilingual
and domain-specific challenges, ensuring
effective job and skills data standardization.
Cost-effective solutions
Predefined taxonomies from global
organizations – such as the World Economic
Forum, International Labour Organization
(ILO), O*NET, etc. – and simple categorization
using spreadsheets can provide effective
results. Partnerships with language experts
or educational institutions are another way
to support efforts to standardize data in local
and regional contexts.
Click on an icon below
to find out more about each step
Structure and standardization
Matching Talent to the Jobs of Tomorrow: A Guidebook for Public Employment Services
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