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Official statistics: New opportunities for transformation –
26
Round-table discussion
Training the new generations and rejuvenating the older generations of statisticians
How to tackle these challenges?
Modernization of the statistical system
Why?
Centralization of services
Industrialization
of production
processes
Increased need of statistics
Plenty of data available (yet not structured)
New methodological and technological tools
From organizational silos to
business architecture
Traditional data collection system in crisis
- reduce stovepipes issues
New competitors
- efficiency
- quality
- flexibility
Why is official statistics changing?
What skills
are needed?
Specialization of competences
Not only technical skills
Emphasis on technical skills:
- data collection
- statistical registers integration
Managerial skills:
- change management
- portfolio and project management
- HR management
New professional profiles
Centralization of services
Data scientist
Service managers
Target
Goal
Constraints
Not individual data scientists
A team of competences on data science
A lifelong learning approach
Fusion of learning and work
- Training integrated into working life
- Support performance
- Beyond the course
- Informal learning
Towards a learning environment
- Integrating different sources of learning
- Not only web technologies
E.learning is not the solution
but...
blended learning can be