1. Harry Goossens Centre of Competence on Data Warehousing

2. Centre of Competence on DWH 2 Active support of ESS member states, putting results ESSnet DWH in practice

3. ESSnet DWH– Short Recap 3 A central ‘statistical data store’ for managing all available data of interest, regardless of its source, enabling the NSI to:  produce necessary information (= statistics !)  (re)use available data to create new data / new outputs  execute analysis and perform reporting  A warehouse approach to statistics: Provide an architectural model of the statistical data flow, from data collection to statistical output. Workshop CoC on DWH, Helsinki, 24 – 25 September2014

4. Introduction: Why S-DWH ? The Challenges 4 Rapidly changing info-demand Decrease costs & admin burden Integration & re-use available data sources Shorter life cycle, Quicker delivery Increase efficiency & flexibility Statistical Production Workshop CoC on DWH, Helsinki, 24 – 25 September2014

5. Introduction: Why S-DWH ? The goal Reusing Statistical Data External data sources 5 Data Collection Make optimal use of all available data sources (existing & new) Workshop CoC on DWH, Helsinki, 24 – 25 September2014

6. Output: Huge set of deliverables The ESSnet DWH produced:  Architectural framework for the S-DWH: ­ Business architecture (3.1 and 3.3) ­ Information systems architecture (3.5 and 1.6) ­ Technical architecture (3.4)  Metadata framework (1.1)  Metadata guidelines & recommendations on ­ Use of metadata models (1.3) and functionalities (1.4) ­ Metadata quality (1.2) and governance (1.5)  Methodological recommendations  http://www.cros-portal.eu/content/data-warehouse-sga2 http://www.cros-portal.eu/content/data-warehouse-sga2 6 Workshop CoC on DWH, Helsinki, 24 – 25 September2014

7. 7 ISO 11179

8. The layered architecture of the S-DWH 8 Distinguishes S-DWH Workshop CoC on DWH, Helsinki, 24 – 25 September2014

9. GSIM: General Statistical Information Model 9 Workshop CoC on DWH, Helsinki, 24 – 25 September2014

10. The Business architecture of a S-DWH 10 BUSINESS PRODUCTION STRUCTURES CONCEPTS Workshop CoC on DWH, Helsinki, 24 – 25 September2014

11. Information Systems Architecture 11 Workshop CoC on DWH, Helsinki, 24 – 25 September2014

12. Information Systems Architecture 12 Source Layer Integration Layer Interpretation Layer Access Layer Staging Data ICT - Survey SBS - Survey ET- Survey... ADMIN Usually of temporary nature, contents can be erased or archived after the S-DWH has been loaded successfully Workshop CoC on DWH, Helsinki, 24 – 25 September2014

13. Information Systems Architecture 13 Workshop CoC on DWH, Helsinki, 24 – 25 September2014

14. Information Systems Architecture 14 Workshop CoC on DWH, Helsinki, 24 – 25 September2014

15. Information Systems Architecture 15 Workshop CoC on DWH, Helsinki, 24 – 25 September2014

16. The layered architecture 16 Reflects to 2 different IT environments of the S-DWH: 1.Operational to support semi-automatic computer interaction systems. 2.Analytical, the actual data warehouse to maximize free human interaction Workshop CoC on DWH, Helsinki, 24 – 25 September2014

17. The layered architecture 17 Workshop CoC on DWH, Helsinki, 24 – 25 September2014

18. The source layer 18  Gathering point for all data to be used in the S-DWH ­ Internal sources: surveys, data from processing programms ­ External sources: admin data, collected for other purposes  No specific, predefined data model ­ Depends on design of datacollection process ­ Well structured and/or simply flat files  Important role as ‘Gatekeeper’ ­ Ensuring that data getting in the S-DWH always has metadata matching minimum requirements and quality Workshop CoC on DWH, Helsinki, 24 – 25 September2014

19. The source layer 19 Workshop CoC on DWH, Helsinki, 24 – 25 September2014

20. The integration layer 20  Operation system(s) used to process day-to-day operations, translating source data into useful content in S-DWH, commonly called ETL: ­ EXTRACT ­ TRANSFORM ­ LOAD Source Layer Integration Layer Integration Layer Integration Layer Interpretration & Analysis Layer Workshop CoC on DWH, Helsinki, 24 – 25 September2014

21. The integration layer 21  As the focus is on processing, data should be stored in a generalized and normalized data model, optimized for OLPT  ETL needs active metadata  Integration layer produces reference, process and statistical metadata  The efficiency of the processing in the integration layer strongly depends on the quality of the metadata comming from the source layer. Workshop CoC on DWH, Helsinki, 24 – 25 September2014

22. The integration and layer 22 Workshop CoC on DWH, Helsinki, 24 – 25 September2014

23. The interpretation and analysis layer 23  Contains relevant (micro) data, processed and structured ­ to be optimized for analysis ­ as base for the planned output of NSI  Specially designed for statistical experts  Built to support data manipulation of large, complex search operations Workshop CoC on DWH, Helsinki, 24 – 25 September2014

24. The interpretation and analysis layer 24  Data modelling based on analysis & real time output ­ dimensional datamodels ­ highly denormalized, redundancy ­ sometimes cubes  Metadata normally added, with few changes ­ variable definitions, deriviation rules ­ estimation rules, confidentiality rules Workshop CoC on DWH, Helsinki, 24 – 25 September2014

25. The interpretation and analysis layer 25 Workshop CoC on DWH, Helsinki, 24 – 25 September2014

26. The access layer 26  Designed for the final presentation, dissemination and delivery of statistical information.  Used by a wide range of users and computer instruments.  Data is optimized to present and compile data effectively.  Data may be presented in data cubes with different formats, specialized to support different tools and software: ’Data marts’ Workshop CoC on DWH, Helsinki, 24 – 25 September2014

27. The access layer 27 Workshop CoC on DWH, Helsinki, 24 – 25 September2014

28. 28 What support in your opinion is most important for the Centre to provide ?  Review***  Advice & Consultancy****  Implementing deliverables*  Knowledge repository****  Information broker**  Supporting Business Case** C0C on DWH: Desired services Workshop CoC on DWH, Helsinki, 24 – 25 September2014

29. Main route 29 Focus on middle Phases Workshop CoC on DWH, Helsinki, 24 – 25 September2014

30. 30

31. Main goals 31  Contacting ESS members for identifying and prioritizing relevant projects and support requests  Provide ad-hoc support and consultancy to ESS members on their specific subjects as requested.  Active dissemination and implementation in daily practice of the deliverables of the ESSnet Workshop CoC on DWH, Helsinki, 24 – 25 September2014

32. Main goals 32  Set up the knowledge repository in the ESSnet DWH domain of the CROS portal, incl. S-DWH best practice cases in ESS member states.  Further elaboration of specific deliverables from the ESSnet DWH that are characterized as continuous activities (’living documents’).  Keeping up-to-date the Handbook Workshop CoC on DWH, Helsinki, 24 – 25 September2014

33. Status 33  1st line help desk function established via CROS Portal:  www.cros-portal.eu/node/68 www.cros-portal.eu/node/68  Inventory of needs & tools ­ At final workshop ­ Face-to-face ­ uestionnaire, wider group  Various support provided  Roadmap for Design Workshop CoC on DWH, Helsinki, 24 – 25 September2014

34. Support actions 34  CSO Ireland: −Architecture and Metadata −Review Corporate Data Vault  Destatis Germany: −Metadata support  CSO Poland −General advise on S-DWH topic −Support session planned Dec/Jan  INE Portugal: −Contacts renewed, partner in COE Workshop CoC on DWH, Helsinki, 24 – 25 September2014

35. Lessons learned 35  Work in progress, but slowly  Most NSI in early stage of redesign, only few practice experiences to share  Availability of resources  Different format & more flexibility needed  Need for exchanging expertise and experiences still actual Workshop CoC on DWH, Helsinki, 24 – 25 September2014