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ESTAT
International Seminar on Modernizing Official Statistics:Meeting Productivity and New Data ChallengesTianjin, People’s Republic of China24 - 26 October 2013
Modernization of official statistics: European Statistical System experience
Mariana Kotzeva, Advisor Hors Classe, Eurostat
Eurostat
This presentation :
• Describes the ESS vision for modernizing EU statistical production;
• Shares the results achieved and lessons learned so far;
• Outlines challenges ahead and next steps in the implementation of the Vision.
ESTATEurostat
modernisation in the supranational context of the EU.
modernisation as in any other
production system of statistics.
Mariana Kotzeva, Eurostat
All that having in mind the specificity of the ESS construction:
Background:
• The Communication of the European Commission 2009 (404): introduces the Vision calling for efficiency gains through standardisation and industrialisation of statistical production;
• A number of internal Eurostat Vision Implementation Projects (VIPs) and ESSnets (collaborative projects with Members States) were launched to implement the Vision;
• The ESS.VIP Programme, started in 2012, consolidates the efforts and focuses on a limited number of projects to achieve efficiency gains in the production of European statistics;
• The European Statistical Programme 2013-2017 includes concrete actions and projects for Vision implementation.
ESTATEurostat
Mariana Kotzeva, Eurostat
Modernization of EU statistical production:
from pre to post-industrialisation.
ESTATEurostat
Mariana Kotzeva, Eurostat
ESTAT
Industrialisation ?Industrialisation ?
Multiple
sources
Data integration
Multiple purposes
Eurostat
Mariana Kotzeva, Eurostat
ESTATEurostat
Mariana Kotzeva, Eurostat
Modernisation of Statistics includes also:
• Change in the set of products and services;
• Change in the organisation and management of the statistical production;
• Adjustment of the quality framework;
• Implementation of technical and statistical standards;
• Making up the HR strategy an integral part of the modernisation strategy.
ESTATEurostat
Mariana Kotzeva, Eurostat
Census 2011: Example of a modern design of statistical production
• Combines different sources: administrative registers, geographical data, sample survey data;
• Employs mixed mode data collection (CAWI, CATI);
• Uses output quality orientation with emphasis on the validation at the beginning of the production chain.
Modernisation of the production chain in the context of the EU
ESTAT
Shared : InformationInfrastructureServicesCostsamong ESS partners
Shared : InformationInfrastructureServicesCostsamong ESS partners
National solutions based on subsidiarity principle
Coordinated common solutions when cost-effective and compatible
National solutions based on subsidiarity principle
Coordinated common solutions when cost-effective and compatible
Vision for modernization of EU
statistics
Vision for modernization of EU
statistics
Data validationData validation
DisseminationDissemination
DevelopmentDevelopment
Shared : InformationInfrastructureServicesCostsamong ESS partners
Shared : InformationInfrastructureServicesCostsamong ESS partners
Data processing, integration
and analysis
Data processing, integration
and analysis
National solutions based on subsidiarity principle
Coordinated common solutions when cost-effective and compatible
National solutions based on subsidiarity principle
Coordinated common solutions when cost-effective and compatible
Data acquisitionData acquisition
Eurostat
Mariana Kotzeva, Eurostat
ESTATEurostat
Mariana Kotzeva, Eurostat
Statistics on intra-EU trade (SIMSTAT project)= example of modern design of statistics
Re-uses available information by making microdata on export of other Member State available;
Thus:
•opening up the possibility of gradually replacing the import survey by data on export provided by the other Members states;
•providing opportunities for improving quality of import flow, i.e. through using as far as possible sampling surveys for quality assurance.
ESTATEurostat
Mariana Kotzeva, Eurostat
SIMSTAT requires:
•Physical Networks such as EDAMIS, CCN-CCI;
•Shared services accompanying data exchange;
•Application software and hardware at both national and European level;
•Standards for data exchange (SDMX and DDI) and appropriate legal frameworks.
Key changes in the statistical processes
Data acquisition:
•Integrating data from different sources;
•Mixed mode data collection;
•Digital data capture and new data sources (big data).
Data validation:
•Verifying the quality of raw data;
•Verifying the quality of processes;
•Output orientation of quality assurance.
ESTATEurostat
Mariana Kotzeva, Eurostat
Data integration and reusability
• Use generic software solutions;
• Shared infrastructure and new forms of data exchange;
• Data warehousing around clusters of statistics (i.e. households and enterprises).
ESTAT
MS2MS2
MS1MS1
Processing Database
Processing Database
Transmission
Data Processing
Staging Warehouse
Staging Warehouse
Extract
CubeCube
CubeCube
ReportReportReportReportData
WarehouseData
Warehouse
Data Disseminate
Load
Transform
Source: Gartner
Eurostat
Mariana Kotzeva, Eurostat
Data dissemination
• Updating mix of disseminated products and services;
• Micro data dissemination;
• Visualisation tools and communication of statistics;
• Combining geographic and statistical information.
ESTATEurostat
Mariana Kotzeva, Eurostat
Where we are with the implementation of the Vision ?
ESTAT
?
?
VIPs
ESSnets MEET
S
ESS.VI
P
Eurostat
Mariana Kotzeva, Eurostat
Which of the aspects of the Vision have been covered by VIPs and ESSnets so far
ESTAT
ESSnetsESSnets
MEETS
Methodology
Standards and
architecture
Access to Microdata
Sectoral Culture Health Tourism
Energies SILC ICT
MEETS programme
SDC Access to microdata
Small Area Estimation
Data Integration Multimode Data
Collection
SDMX CORA CORE Standardisation
EurostatMariana Kotzeva, Eurostat
Where we are: conclusions
• A lot has been achieved in terms of setting legal frameworks, ESS governance and redesigning concrete statistical domains;
• The projects undertaken so far have addressed individual aspects of the Vision, however, not all aspects have been equally covered;
• IT strategy needs to be incorporated as a key element of modernisation of statistical production;
• The role of modern organisation methods and new cooperation models (i.e. matrix organisation and Centres of Competences) are still to be explored.
ESTATEurostat
Mariana Kotzeva, Eurostat
Mariana Kotzeva, Eurostat
Are we too ambitious? Challenges ahead and lessons learned
ESTATEurostat
Lesson learned:
• Transform the Vision into reality;
• Clear governance and allocation of responsibilities of all stakeholders;
• Modernisation is a long-term process that benefits from small but consistent steps;
• Leadership and mobilisation of skills and expertise are crucial;
• Setting priorities and sequence the Redesign projects;
• Monitoring of the progress towards the goals.
ESTATEurostat
Mariana Kotzeva, Eurostat