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Streamlining statistical production process in Eurostat

This article discusses the need for streamlining the statistical production process in Eurostat and proposes replacing the traditional stovepipe model with an integrated model. It highlights two projects in the European Statistical System (ESS) - re-engineering the Agriculture and Fisheries Statistical Production Processes, and harmonizing and consolidating the National Accounts Production Systems (NAPS2). The article outlines the goals, timeline, challenges, and outputs of these projects. It also emphasizes the importance of documentation, maintaining the big picture, and the use of standardized formats for data exchanges.

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Streamlining statistical production process in Eurostat

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  1. Streamlining statistical production process in Eurostat Artur Queiroz Mihaela Vacarasu

  2. A statisticalvision for the nextdecade change the ESS business architecturebyreplacing the traditionalstovepipemodelwithanintegratedmodel COM(2009) 404 final, Brussels, 10.8.2009

  3. Twoprojects in the ESS • Re-engineeringtheAgricultureandFisheriesStatisticalProductionProcesses • HarmonisingandConsolidating the NationalAccountsProductionSystems - NAPS2

  4. Agriculture & Fisheries - Context • Agriculture and Fisheries • 50 years of history • 30 people • 6 statisticalareas • Dozens of domains Agriculture and Fisheries • too manydifferentsystems • local optimisation • no standard business process • high staff turnover

  5. Agriculture & Fisheries - Project Goal • Create a corporatestatisticalsystem • Migrate and reengineer to the central tool - MDT • Discontinue the superfluoustools • Create a standardizedstatistical business process • Reimplement the business logicwherenecessary • Agree similar architecturalelements for the domains

  6. Project timeline 1st Wave Pre-analysis • assesscurrentstate / createtestdatabases 2010 2011 2012 2013 2014 2009 • consolidation of testdatabases • implement 2 newdomains – CropProduction Statistics, AbsolutePrices • workdonebyanexternalcontractor

  7. Project timeline ! 2nd Wave 1st Wave Pre-analysis • contractorbasedabroad → coordinationissues • projectmovedin-house → better communication • easierproject management 2010 2011 2012 2013 2014 2009 Client IT unit Contractor

  8. Project Main Output • Definition of a to-bestatefor the statisticalprocess • Apply the process in everyupcomingdomain • Manytechnicalchallengeshad to betackled…

  9. Input Primary Production Reference Collect Process & Analyse Disseminate Reference DB AutomaticLoader

  10. NationalAccounts - Context • 3 directorates • 8 production units • 21 production processes • 4 applications • Fragmentedprocesses • Difficult NA inter-domain exchanges

  11. NationalAccounts - Objectives documentation and IT analysis of the NA production process; harmonisation of the NA domains and their IT environment; consolidation of the NA domains.

  12. NationalAccounts - Objectives 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.

  13. NationalAccounts - Objectives 2. harmonisation of the NA domains and their IT environment Harmonise Domain level Process of standardizing : • the IT standards • the regulations and methodologies

  14. NationalAccounts - Objectives 3. consolidation of the NA domains Consolidate System level • Improved generic NA business model • Better data exchange via common repository • SOA

  15. NationalAccounts – Timetable Pilotdomain Jan 2012 Dec 2014 March 2012 May 2013 • Name: NAMA - National Accounts Main Aggregates • IS used: FAME • Align with IT standards: • Align with applicable NA methodology

  16. Lessonslearned • Documentation is the key • Don'tlose the bigpicture • The "BigBrother" effect • Stovepipe vs. integratedmodels: what do I gain?

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

  18. Questions? Artur Queiroz Mihaela Vacarasu

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