sbb contribution to ilo workshop on big data for skills ......information pyramid 6. abd -...
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SBB contribution to ILO workshop on big data for skills anticipation and
matching
Renier van Gelooven19-20 September 2019
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Objectives SBB
SBB is the Foundation for Cooperation on Vocational Education, Training and Labour Market.
• Students receive the best possible practical training with prospects of a job,
• Companies can employ professionals that they need, now and in the future
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Legal tasks
• we advise, accredit and coach work placement companies
• we develop and maintain the qualification structure
• we provide research and information on the labour market, work placement and efficiency of VET-programmes
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Provide all relevant stakeholders with authoritative, recent, objective and applicable information about the Education –Labour Market fit, VET and Efficiency.
For and with stakeholders
• MBO
• National and regional
• Qualification level
• Future oriented
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Objective research and information- team ABD
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Efficiency
The fit between supply (graduates) and demand (job-openings)
• Quantitative: numbers
• Qualitative: content of education
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Information pyramid
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ABD -informatie
Team beleid
Vakdepartementen
Inspectie
Scholen
Sociale partners
Studenten
MBO-raad
UWV
Bedrijfsleven
IDW
Servicedesk
ABD -informatie
Intelligent network = powerLokale overheden
Team K&E
Toetsingskamer
Beleidsadviseurs
Adviseurs praktijkleren
Sectorunitmanagers
Directie/bestuur
Sectorkamers
TAC’s
Communicatie
Regionaal adviesteam
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Big data trend - GA
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Opportunities Threats
Better predictions Privacy
Realisation of innovations Lack of data scientist
Higher productivity Information overload
More evidence based policies Not a story in itself
New methods and sources forresearch
Risk of bad science
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Job Perspectives (Kans op Werk)
• Prospects of finding a job after graduation fitting theireducation, for students starting education now
• 2- 4 year prediction
• Data CBS, CPB, Labour insurance, vacancy-spider questionnaires, expert input
• Per qualification and region
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Trendresearch
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Trendcommunity
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Sharing knowledge ... interacting
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Pilot textmining
• Cooperation with textkernel
• Exploration contents, possibilities & conditions
– Job contents
– Job Changes
– Job distances
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Intermediary Operator *
Number of vacancies (abs.) 39.147 38.562
Skills Activities Skills Activities
Rows in Excel after extraction 965 919 1.436 1.236
Clusters 26 24 31 30
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Example 1Educational level demanded functie intermediary 2008-2016
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0
500
1,000
1,500
2,000
2,500
3,000
3,500
2008 2009 2010 2011 2012 2013 2014 2015 2016
Hbo Hbo/wo Mbo Onbekend/ elementair Wo/post wo
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Example 2 Top 10 competenties intermediary by level of education
Midlevel Highlevel
1 Communicative Communicative
2 Entrepeneurial, motivated, ambitious Entrepeneurial, motivated, ambitious
3 Commercial Commercial
4 Targeted, performance oriented Targeted, performance oriented
5 Social, committed, teamplayer Targeted, performance oriented
6 Customer oriented, service oriented Solution oriented
7 Energetic, enthousiastic, optimistic, humor Energetic, enthousiastic, optimistic, humor
8 Stress resistent Proactive
9 Proactive Persuasiveness, decisive
10 Solution oriented Customer oriented, service oriented
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Proces-Operator Food operator
1 Operating the production line and process, monitoring,
checking, adjusting and finalizing
Processing raw materials and preparing end product
2 Setting up, adjusting and converting of machines,
installations and equipment
Cleaning and disinfecting the working environment and
machines
3 Signaling, solving and registering malfunctions Setting up, adjusting and converting of machines,
installations and equipment
4 Starting up and operating machines, devices and
installations
Quality control and monitoring, sampling, analysis and
assessment
5 Quality control and monitoring, sampling, analysis and
assessment
Reporting and registration, logging and recording of
data
Example 3Activities proces-operator versus food-operator
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Pro- and con: pilot vacancy-analyses
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Valuable for maintaining qualifications,
specific research goals
Insight competenties, activities, educational
level, region, terms of employment
10 year horizon (trend) en comparison
Quantitative
Excel-results user friendly
Timeconsuming, manual clustering
Develop unambiguous taxonomie
Vacatancy texts, not objectieve, not
everything online, sensitive to
% do not reflect work (perse) but
appearance in vacancies.
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• Faethm tool• 17 technologies, 1-15 years (future)• Adoption curves, sectoral and regional• Automation + Augmentation + jobs added• Input all graduates that enter labour Market
(regional/qualification)• Effects on # and %
Pilot Impact technology
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