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Romanian Agricultural Census Use of SuperCROSS to analyze, publish and disseminate census data
RomanianAgriculturalCensus Like other member states of the European Union, Romania has started the agricultural census in 2010.  Prior to embarking on  the effort, the Romanian NSO has tendered the procurement of systems and technical support for the collection, production, analysis and dissemination of the census data. The application was to provide functions to support  Decentralized data entry; Cleansing and data and corrections necessary to deliver the required statistical quality levels.  Collection of the cleansed data in a central repository Tabulation, statistical analysis and publication was to be performed in the “BI – System” & the “Publication System”. Page 2
Agro Census BI System Architecture Flat  Files Flat  Files ORACLE SuperSTAR 3
A „Business Intelligence“ System  Single statistical repository for analysis, dissemination and reporting  Tabulation and statistical functions to analyze the data Provisions to disseminate the data to EUROSTAT and other agencies using SDMX Tables in XML structure feed the INS‘s publication process (Adobe In-Design). Multilingual capabilities for the users and the published tables. Presentation of content, classifications, attributes, code lists and similar metadata. Page 4
Page 5 First overview of preliminary data using SuperCROSS
Page 6 Livestock by geographical sub-region
Page 7 Are there any suprises in the data?
Page 8 Benefits of the SuperSTAR “BI System” ,[object Object]

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2011 ISI Conference DUBLIN agro_census

  • 1. Romanian Agricultural Census Use of SuperCROSS to analyze, publish and disseminate census data
  • 2. RomanianAgriculturalCensus Like other member states of the European Union, Romania has started the agricultural census in 2010. Prior to embarking on the effort, the Romanian NSO has tendered the procurement of systems and technical support for the collection, production, analysis and dissemination of the census data. The application was to provide functions to support Decentralized data entry; Cleansing and data and corrections necessary to deliver the required statistical quality levels. Collection of the cleansed data in a central repository Tabulation, statistical analysis and publication was to be performed in the “BI – System” & the “Publication System”. Page 2
  • 3. Agro Census BI System Architecture Flat Files Flat Files ORACLE SuperSTAR 3
  • 4. A „Business Intelligence“ System Single statistical repository for analysis, dissemination and reporting Tabulation and statistical functions to analyze the data Provisions to disseminate the data to EUROSTAT and other agencies using SDMX Tables in XML structure feed the INS‘s publication process (Adobe In-Design). Multilingual capabilities for the users and the published tables. Presentation of content, classifications, attributes, code lists and similar metadata. Page 4
  • 5. Page 5 First overview of preliminary data using SuperCROSS
  • 6. Page 6 Livestock by geographical sub-region
  • 7. Page 7 Are there any suprises in the data?
  • 8.
  • 9. Consistent and seamless integration of different phases of the production process
  • 10. First phase (subset of indicators) ready by June 2011
  • 11. All other indicators ready by June 2012 (SDMX)
  • 12. Statistical production process includes publication, dissemination and provision of data for analysis
  • 13. Metadata and bilingual capabilities
  • 14. SDMX capabilities in compliance with the ESS