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Streamlining statistical production process in Eurostat

Streamlining statistical production process in Eurostat. Artur Queiroz Mihaela Vacarasu. A statistical vision for the next decade. change the ESS business architecture by replacing the traditional stovepipe model with an integrated model COM(2009) 404 final, Brussels , 10.8.2009.

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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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