Romanian Agricultural Census<br />Use of SuperCROSS to analyze, publish and disseminate census data<br />
RomanianAgriculturalCensus<br />Like other member states of the European Union, Romania has started the agricultural censu...
Agro Census BI System Architecture<br />Flat <br />Files<br />Flat <br />Files<br />ORACLE<br />SuperSTAR<br />3<br />
A „Business Intelligence“ System <br />Single statistical repository for analysis, dissemination and reporting <br />Tabul...
Page 5<br />First overview of preliminary data using SuperCROSS<br />
Page 6<br />Livestock by geographical sub-region<br />
Page 7<br />Are there any suprises in the data?<br />
Page 8<br />Benefits of the SuperSTAR “BI System”<br /><ul><li>Allows the fast & efficient generation of ad hoc reports, ...
Upcoming SlideShare
Loading in …5
×

2011 ISI Conference DUBLIN agro_census

726 views
629 views

Published on

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 the cleansing and data corrections necessary to deliver the required statistical quality levels. Tabulation, statistical analysis and publication was to be performed in the “BI – System” & the “Publication System”.

The reason for the deployment of a "BI System" on top of the cleansed authentic data, was to have one statistical repository for analysis, dissemination and reporting only, and to provide functions for the efficient execution for each of these tasks:

• Tabulation and statistics to analyze the data
• Dissemination to EUROSTAT using SDMX
• Integration with INS publication process
• Multilingual tables for INS publications
• Presentation of metadata.

A Romanian consortium supported by PARADIGMA and Space-Time Research was awarded the contract and has since developed a decentralized data entry solution for microdata collection, a central authentic database as well as a BI-System using SuperSTAR.

The solution offers rich statistical functions, supports the use of metadata, multilingual output, SDMX based dissemination of data and is integrated in the publication process.
www.paradigma.net

0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total views
726
On SlideShare
0
From Embeds
0
Number of Embeds
87
Actions
Shares
0
Downloads
2
Comments
0
Likes
0
Embeds 0
No embeds

No notes for slide

2011 ISI Conference DUBLIN agro_census

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

×