Production of International Trade Statistics in Eurostat Ján Plánovský Eurostat Prague, 15 September 2009

Eurostat's Mission High-quality statistical service Producing comparable and relevant statistics covering the EU’s areas of competence Disseminating Community statistics to the general public, businesses and decision makers free of charge Supporting non-EU countries within the cooperation framework with EU 2

Trade Statistics Overview (1) Basics of international trade statistics –Intrastat: Intrastat declarations –Extrastat: customs (SAD) declarations Data reception via eDAMIS Validation (plausibility checks, missing data) Data transformation, confidentiality treatment, aggregation, loading to Comext 3

Data dissemination: –Detailed data: Easy Comext, Analytical Comext –Aggregated data: Data Explorer, Tables/Graphs/Maps (TGM) interface User support (e.g. XT-NET/Assist) Analysis and Quality –Quality framework –Quality monitoring (Mirror Outlier Detection) 4 Trade Statistics Overview (2)

Confidential Environment Validation Transformation Data Loading eDAMIS 27 Member States Third countries: - EFTA - EU candidates - West Balkan - Mediterranean Comext Standard Environment FTP server Easy Comext Publication database Data Explorer Customised reports, user support Monthly updates Daily loading Trade Statistics Production in Eurostat 5

Data Processing: Visual Validation 6

Detailed Data Dissemination: Easy Comext 7

Detailed Data Dissemination: Analytical Comext 8

PUBLICATION DATABASE SHORT TERM MONTHLY SERIES NEWS RELEASE MONTHLY BULLETIN TRANSMISSION TO ECB DATASETS DATA EXPLORER TGM LONG TERM ANNUAL SERIES YEAR BOOKPANORAMA POCKET BOOK PREDEFINED TABLES DATA EXPLORER TGM Aggregated Data Dissemination 9

User Support: XT-NET/Assist 10

Quality Framework in European Trade Statistics 11

Quality Monitoring: Mirror Outlier Detection 12

Future Developments Eurostat vision for the next decade ESS now - stovepipe model –Burden on respondents –Not flexible for multidimensional phenomena –Production - inefficient and costly ESS in the future – integrated model: –Common data warehouses (registers) –Harmonised methods / quality / medatadata –Sharing tools (validation, user support) 13

ESS now – stovepipe model 27 Member States with very different systems Data collection Data transmission EUROSTAT Regulations incl. Agreed methodology Data disseminatio n User needs Bu ild Pr oc es s De vel op an d De sig n Co lle ct An aly se Di ss e mi - na te Quality management / Metadata Management User needs Bu ild Pr oc es s De vel op an d De sig n Co lle ct An aly se Di ss e mi - na te Quality management / Metadata Management User needs Bu ild Pr oc es s De vel op an d De sig n Co lle ct An aly se Di ss e mi - na te Quality management / Metadata Management REFERENCE & DISSEMINATION ENVIRONMENTS User needs P ro c e s s Di ss e m i - n at e C ol le ct A n al y s e D e v el o p A n d D e si g n User needs P ro c e s s Di ss e m i - n at e C ol le ct A n al y s e D e v el o p A n d D e si g n User needs P ro c e s s Di ss e m i - n at e C ol le ct A n al y s e D e v el o p A n d D e si g n Quality Management / Metadata Management User needs B ui ld Pr o c e ss D e v el o p a n d D e si g n C ol le ct A n al ys e Di ss e m i- n at e Quality management / Metadata Management User needs B ui ld Pr o c e ss D e v el o p a n d D e si g n C ol le ct A n al ys e Di ss e m i- n at e Quality management / Metadata Management User needs B ui ld Pr o c e ss D e v el o p a n d D e si g n C ol le ct A n al ys e Di ss e m i- n at e Quality management / Metadata Management 14

ESS in the future 27 Member States sharing tools, methodologi es Data collection Data flow EUROSTAT Regulations incl. Agreed methodology Data disse minati on Quality Management / Metadata Management AnalyseAnalyse Dissemi- nateDissemi- nate AnalyseAnalyse Dissemi- nateDissemi- nate AnalyseAnalyse Dissemi- nateDissemi- nate 27 MS Datawarehouses = Input Databases for ESTAT REFERENCE & DISSEMINATION ENVIRONMENTS Dissemi- nate Dissemi- nate Analyse Analyse De vel op An d De sig n Dissemi- nate Dissemi- nate Analyse Analyse Dissemi- nate Dissemi- nate Analyse Analyse DATAWAREHOUSE Grouping by e.g. statistical unit Co lle ct Consistency Process Process Process Process Process Process User need s Develop and Design Collect (Surveys) User needs EU Build Collect (Other sources) Consistency Process Process ProcessProcess ProcessProcess Quality management / Metadata Management Data collection Same tools, methodologies are used 1 unique Business Register National needs

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