Streamlining statistical production process in Eurostat Artur Queiroz Mihaela Vacarasu.

Slides:



Advertisements
Similar presentations
Data Sharing Werner Bier Deputy Director-General Statistics European Central Bank Inter-Agency Group on Economic and Financial Statistics (IAG) G-20 Data.
Advertisements

Information Infrastructure: Foundations for ABS Transformation Stuart Girvan, Australian Bureau of Statistics MSIS Paris, April 2013.
ESS reference metadata implementation of standards and interoperability of National/European metadata systems Bogdan Sorin ZDRENTU, Eurostat (B5) Mogens.
Page 1 Vienna, 03. June 2014 Mario Gavrić Croatian Bureau of Statistics Senior Adviser in Classification, Sampling, Statistical Methods and Analyses Department.
Slide 1 Eurostat Directorate B – Statistical methods and tools; dissemination Towards implementation of SDMX – 9/11 January 2007 SDMX Open Data Interchange.
International Seminar on Modernizing Official Statistics:
The European Statistical System Vision Infrastructure Programme Daniel Defays, Director Directorate B, Eurostat Eurostat Workshop on the Modernisation.
LEVERAGING THE ENTERPRISE INFORMATION ENVIRONMENT Louise Edmonds Senior Manager Information Management ACT Health.
System of Environmental-Economic Accounting SEEA Implementation Guide and Diagnostic Tool Alessandra Alfieri UNSD.
Producing and managing metadata Workshop on Writing Metadata for Development Indicators Lusaka, Zambia 30 July – 1 August 2012 Writing Metadata for Development.
Eurostat Round table CSPA & Big data
Background Data validation, a critical issue for the E.S.S.
System of Environmental-Economic Accounting SEEA Implementation Guide and Diagnostic Tool and Suggested Structure for Assessment United Nations Statistics.
Improving cooperation and quality in deliveries from Primary statistics (PS) to National Accounts (NA) Roger Pettersson Statistics Sweden.
Taking SMEs from Word-based narrative to topic-based structure.
ESS-VIP ICT Project ESSnet Workshop, Rome, 3-4 December 2012.
United Nations Statistics Division
Organizing Information Technology Resources
Eurostat I S IT RATIONALISATION A WAY TO CHANGE SERVICE CULTURE ? Paper prepared by Pál Jancsók and Mariana Kotzeva Presentation: Pál Jancsók, Eurostat.
Marina Signore Head of Service “Audit for Quality Istat Assessing Quality through Auditing and Self-Assessment Signore M., Carbini R., D’Orazio M., Brancato.
Development of metadata in the National Statistical Institute of Spain Work Session on Statistical Metadata Genève, 6-8 May-2013 Ana Isabel Sánchez-Luengo.
The Adoption of METIS GSBPM in Statistics Denmark.
Statistics Sweden Results from operations in 2006: 146 publications 356 press releases commissions 3,7 million visitors at
Eurostat Unit B3 – IT and standards for data and metadata exchange SDMX Basics Training – 2012 IT architectures for data exchange SDMX-RI and the Hub approach.
Eurostat Global Implementation of SDMX in National Accounts Committee for the Coordination of Statistical Activities 22 nd Session 4-6 September Ankara,
1 MODERNIZATION OF BELARUSIAN STATISTICS _________________________________________________ IMPLEMENTATION OF THE PROCESS APPROACH IN ORGANIZING THE STATISTICAL.
Current and Future Applications of the Generic Statistical Business Process Model at Statistics Canada Laurie Reedman and Claude Julien May 5, 2010.
BAIGORRI Antonio – Eurostat, Unit B1: Quality; Classifications Q2010 EUROPEAN CONFERENCE ON QUALITY IN STATISTICS Terminology relating to the Implementation.
Statistics New Zealand’s End-to-End Metadata Life-Cycle ”Creating a New Business Model for a National Statistical Office if the 21 st Century” Gary Dunnet.
13-Jul-07 Implementation of SDMX for data and metadata exchange Balance of Payments Working Group 2-3 April 2012 Daniel Suranyi Eurostat B5 Management.
Developments in European Statistics Challenges in Official Statistics Visit to NSO Romania July 2009 Walter Radermacher, Chief Statistician of the.
Phare Programme 2003 and Transition Facility 2004 – overview on status for Pilot Projects Estonia Mare Zaneva Head of International Co-operation Serevice.
ESS-VIP ICT Project Work Package III Task Force Meeting, Luxembourg, 5 March 2013.
1 Integration of the Eurostat and ESS Metadata Systems A. Götzfried Head of Unit B6 Eurostat.
SDMX IT Tools Introduction
Metadata Working Group Jean HELLER EUROSTAT Directorate A: Statistical Information System Unit A-3: Reference data bases.
2.An overview of SDMX (What is SDMX? Part I) 1 Edward Cook Eurostat Unit B5: “Central data and metadata services” SDMX Basics course, October 2015.
Eurostat Opportunities for transformation of official statistics from an ESS perspective Walter J. Radermacher Director-General of Eurostat Budapest, 20.
MetaPlus Klas Blomqvist Statistics Sweden Research and Development – Central Methods
Integrated metadata systems History Status Vision Roadmap
Standardisation in the European Statistical System inventory of normative documents and the standard-setting process – results of the ESSnet on Standardisation.
19-20 October 2010IT Directors’ Group Meeting 1 Item 3.3.g of the agenda Vision Infrastructure Project on Secure Infrastructure for CONfidential data access.
IT Directors’ Group Meeting October 2010 Sharing data validation tools in the ESS Christine WIRTZ – Head of Unit B3 Georges PONGAS – Unit B3 Daniel.
Eurostat Procedure for the revision of Mandate of Transmission Coordinators (TCOs) Item 15 DIME – ITDG SG meeting 18/11/2015 Jan Planovsky & Hubertus Cloodt.
15-16 December 2010 CGST Meeting 1 IT Developments TRIS 1 – TRIS 1 / TRIS 2 Item 7.1 on the agenda 1 TRIS = TRansport Information System.
June 2009 Regulation on pesticide statistics Pierre NADIN ESTAT E1- Farms, agro-environment and rural development
Statistical process model Workshop in Ukraine October 2015 Karin Blix Quality coordinator
Eurostat Keynote address - CSPA implementation What's in it for us? CSPA implementation Workshop, Geneva June 2016, Day 2 Emanuele Baldacci, Director.
UNECE-CES Work session on Statistical Data Editing
The Eurostat Metadata Handler Götzfried Eurostat (Head of Unit B6)
Business Case National Accounts Production System – Services (NAPS-S)
The ESS vision, ESSnets and SDMX
The CVD Metadata Handler
Implementing the ESS Vision 2020
Eurostat Quality Management (in the ESS context)
ESTP TRAINING ON EGR Luxembourg – December 2014
Methodology and Corporate Architecture
Generic Statistical Business Process Model (GSBPM)
Developments in European Statistics
Tomaž Špeh, Rudi Seljak Statistical Office of the Republic of Slovenia
Ola Nordbeck Statistics Norway
ESS Standardisation State of play
3. An overview of the SDMX implementation process
ESS.VIP Validation Item 5.1
Quality reporting in the ESS - State of play and next steps
SDMX Implementation The National Accounts use case
M. Henrard, B5 N. Buysse and H. Linden, B6 Eurostat
Business architecture
Presentation of Project Joint meeting of the ESS.VIP.BUS ICT Project
Modernisation of Validation in the ESS Collaboration with countries
Presentation transcript:

Streamlining statistical production process in Eurostat Artur Queiroz Mihaela Vacarasu

change the ESS business architecture by replacing the traditional stovepipe model with an integrated model COM(2009) 404 final, Brussels, A statistical vision for the next decade

Two projects in the ESS Re-engineering the Agriculture and Fisheries Statistical Production Processes Harmonising and Consolidating the National Accounts Production Systems - NAPS2

Agriculture and Fisheries 50 years of history 30 people 6 statistical areas Dozens of domains too many different systems local optimisation no standard business process high staff turnover Agriculture & Fisheries - Context

Agriculture & Fisheries - Project Goal 1.Create a corporate statistical system ∙Migrate and reengineer to the central tool - MDT ∙Discontinue the superfluous tools 2.Create a standardized statistical business process ∙Reimplement the business logic where necessary ∙Agree similar architectural elements for the domains

Project timeline Pre-analysis assess current state / create test databases consolidation of test databases implement 2 new domains – Crop Production Statistics, Absolute Prices work done by an external contractor 1st Wave

Project timeline contractor based abroad → coordination issues project moved in-house → better communication easier project management 2nd Wave ClientIT unitContractor 1st Wave Pre-analysis ! !

Project Main Output Definition of a to-be state for the statistical process Apply the process in every upcoming domain Many technical challenges had to be tackled…

Automatic Loader Process & Analyse Disseminate Collect Input Primary ProductionReference DB

National Accounts - Context 3 directorates 8 production units 21 production processes 4 applications 3 directorates 8 production units 21 production processes 4 applications -Fragmented processes -Difficult NA inter-domain exchanges

National Accounts - Objectives 1.documentation and IT analysis of the NA production process; 2.harmonisation of the NA domains and their IT environment; 3.consolidation of the NA domains.

National Accounts - Objectives 1.documentation and IT analysis of the NA production process  Workflows – Production process;  Business cases – Production process;  IT harmonisation procedures – IT process;  User and technical guides – IT process.

National Accounts - Objectives 2. harmonisation of the NA domains and their IT environment Process of standardizing :  the IT standards  the regulations and methodologies Harmonise Domain level

National Accounts - Objectives  Improved generic NA business model  Better data exchange via common repository  SOA Consolidate System level 3. consolidation of the NA domains

Jan 2012Dec 2014 National Accounts – Timetable Name: NAMA - National Accounts Main Aggregates IS used: FAME Align with IT standards: Align with applicable NA methodology March 2012May 2013 Pilot domain

Lessons learned  Documentation is the key  Don't lose the big picture  The "Big Brother" effect  Stovepipe vs. integrated models: what do I gain?

Next steps  Capitalize on established structures  Flags in Eurostat  SDMX-ML – standard format for data exchanges

Questions? Artur Queiroz Mihaela Vacarasu