Albrecht Wirthmann ESS TF Big Data Big Data Strategy Albrecht Wirthmann ESS TF Big Data
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
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
Outline of the BD strategy document Scope Background Stakeholders Skills Opportunities and risks New roles and Actions
Scope Aims Long term Horizon (beyond 2020) Topics What is Big data Addressees Aims Create focus, imply choices, common understanding Implementation actions Communication tool
Background Data revolution Framework for Official Statistics ESS Code of Practice Statistical Process
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
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 …
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 …
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
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
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 …
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?