1. Albrecht Wirthmann ESS TF Big Data
Big Data Strategy
Albrecht Wirthmann
ESS TF Big Data

2. Strategy: Introduction
Big Data Action Plan and Roadmap
Short term goals
Medium term goals
Long term objectives
Big Data Strategy according to BD Action Plan and Roadmap
"A strategy for big data in official statistics should be embedded into overall government strategies at national as well as at EU level."
Big Data Strategy focusing on long term objectives

3. Organization of work Subgroup of ESS Big Data Task Force:
Rein Ahas (EE)
Stefano Bertolo (CNECT)
Barteld Braaksma (NL)
Carola Carstens (CNECT)
Loredana Di Consiglio (ESTAT)
Paolo Righi (IT)
Lara Wiengarten (DE)
Albrecht Wirthmann ESTAT)
Markus Zwick (DE)
Collaboration platform: wiki

4. Outline of the BD strategy document
Scope
Background
Stakeholders
Skills
Opportunities and risks
New roles and
Actions

5. Scope Aims Long term Horizon (beyond 2020) Topics What is Big data
Addressees
Aims
Create focus, imply choices, common understanding
Implementation actions
Communication tool

6. Background Data revolution Framework for Official Statistics
ESS Code of Practice
Statistical Process

7. Stakeholders Statistical Offices, ESS
Government and other public organisations (authorities)
Data protection authorities
Regulators in different sectors, e.g. telecommunication
Academia, Universities
Private businesses
Non-profit organisations active in digital services (open software community)
Media
General public / citizens

8. Skills New skills and competencies are necessary
Skills in statistics, data analytics and IT
Big data team level competencies
Teamwork
Interpersonal + communication skills
Innovative and contextual awareness
Specialist knowledge and expertise
Statistics IT
Data analysis and visualisation
Big Data team leader
Leadership and strategic direction
Building relationships and communication …

9. Skills Approach Elaborate comprehensive education concept > 2020
Define and describe learning outcomes
Curricular to link courses
Harmonisation of training instruments
Elaborate comprehensive education concept > 2020
New tools
Platform for Massive Open Online Courses (MOOC)
Partnerships with stakeholders
Universities
Central Banks
International Organisations …

10. Opportunities and Risks
Efficiency and resources
Decrease cost
Lower burden
Improve statistical processes with big data analytics
Reinforce move to multisource-multipurpose statistical production
Quality
Improve specific quality dimensions
Increase product portfolio
Privacy and Image
Use of advanced analytical methods
Commitment to privacy

11. New roles and actions Statistical Offices as Data Integrators
Blending of data sources
Analytical service providers
Flash estimates: nowcasting -> forecasting
Short term policy support
Information Broker
Certification authority of processes / methods ensuring defined quality levels

12. New roles and actions Actions Market watch
Concept for matrix oriented structure
Multisource-multipurpose statistical production
Concept for integrated training programs
Access to data
Approach for creating and maintaining partnerships …

13. Discussion What is the scope of the strategy?
Mandate of the group
What is the right level of flexibility?
Needs of official statistics
In contrast to general government needs
In common with general government needs
What is in the data revolution for official statistics?
What new roles for official statistics should be included into the strategy document?
What actions should be proposed?