1. 1 Statistics Norway IT strategy 2007 - Rune Gløersen IT Director Statistics Norway

2. 2 Dir.gen Economic statistics Popul. statistics Business statistics ResearchAdm. IT&Data collection IT Section IT Section IT Section Approx. 90 people are employed in the «official» IT organisation. In addition there are some groups and individuals working with more or less «pure» IT delelopment and maintenance throughout the organisation. As a total about 100 persons, which is approximately 10% of all employees IT organisation IT Development IT Infrastructure Dissemi- nation IT Services Staff dep

3. 3 Improved utilisation of resources and skills User-oriented products and services Active development of methods Precise deliveries Clients/Users Work processes Staff Strategy-focused management Attractive employer A culture for coooperation and change High level of customer satisfaction Preferred business partner Proactive developer and trusted service provider Strategic map for IT and Data Collection Economy Improved capacity Improved financial control Highly competent and motivated staff

4. Background Over the past years, Statistics Norway has carried out a stepwise development from a typical stove piped statistical production system, towards a coherent statistical system, based upon a top-down approach supporting an overall business model and a coherent information architecture. An overall systems architecture, based on cooperative IT systems supporting the information architecture and the business processes will be implemented The overall objective is to create a flexible, user friendly and controllable statistical production system.

5. 5 Stove piped statistical production systems Collect Process Disse- minate Stat. Prod 1 Collect Process Disse- minate Stat. Prod 2 Collect Process Disse- minate Stat. Prod 3 Collect Process Disse- minate Stat. Prod 4 Collect Process Disse- minate Stat. Prod 250

6. 6 Stove piped statistical production systems Data Collection Process Stat. Prod 1 Process Stat. Prod 2 Process Stat. Prod 3 Process Stat. Prod 4 Process Stat. Prod 250 Dissemination

7. 7 IT contributes to change and development - Statistics Norway, a modern and attractive place to work Technology Infrastructure ArchitectureKnowledge Service Delivery Contribution to business Business strategy IT

8. 8 Structure of the IT strategy Strategic goals Overall Systems Architecture Technological roadmap IT infrastructure Governance

9. 9 Strategic goals Contribute to the simplification, improvement and increased use of common working processes –Self-reliant statisticians Contribute to the strengthening of information and knowledge management –Coherent statistical production system –Intranet as single access point to all tools and services –Metadata and documentation Contribute to make new statistical products and new roles possible for Statistics Norway –Flexibility and adaptability

10. 10 IT architecture Bottom up –Based on knowledge of the information architecture –Analysis of business architecture required Key issue is SOA and use of open standards Increasing pressure to use Open Source Software Framework applications to support business processes

11. 11 Semantical and syntactical framework Compre- hension Contents & Structure Roles and responsibilities Metadata strategy 2005 - Navigation system Business-to-BusinessPortal Master sources RDF (Semantic Web) Ownership on both a functional and maintenancelevel Cross-sectionalcoordination Harmonise vocabulary and definitions Documentprocesses

12. 12 Business Model Data Exchange Metadata Management of Statistical Populations Data Collection Data Editing and Analysis Dissemination Business Portal Citizen Portal ssb.no Intranet IT Infrastructure Security Observation Registers, Longitudinal data, Data Archive Cooperative IT systems

13. 13 Business Model Data Exchange Metadata Management of Statistical Populations Data Collection Dissemination Business Portal Citizen Portal ssb.no Intranet IT Infrastructure Security Observation Registers, Longitudinal data, Data Archive Cooperative IT systems Data Editing and Analysis

14. 14 POPULATION DATA COLLECTION METADATA DYNAREV SAMPLE ADMINISTRATION Data Editing (micro/macro) Estimation & Analysis OTHER STATISTICS Rules Engine Weights, References Parameters DISSEMINATION Framework – Data Editing and Analysis

15. 15 Business Model Data Exchange Metadata Management of Statistical Populations Data Collection Data Editing and Analysis Dissemination Business Portal Citizen Portal ssb.no Intranet IT Infrastructure Security Observation Registers, Longitudinal data, Data Archive Cooperative IT systems

16. 16 StatResWhatever SSB.no Kostra Statistical data bank WSL Presentation Framework Reusable modules for search navigation information- architecture maps….. References/links Presentation layer Reference layer (mapping) Service layer Data source Dissemination

17. 17 Business Model Data Exchange Management of Statistical Populations Data Collection Data Editing and Analysis Dissemination Business Portal Citizen Portal ssb.no Intranet IT Infrastructure Security Observation Registers, Longitudinal data, Data Archive Cooperative IT systems Metadata

18. 18 Classifications Longi- tudinal data Data Archives Variables Metadata sources/services Questionnaires Data collection Processing Dissemination Statistical products

19. 19 Classifications Longi- tudinal data Data Archives Variables Metadata sources/services Questionnaires Data collection Processing Dissemination Statistical products Need for common architecture & standards

20. 20 Implementation Depending on top level support and power –Roles, responsibilities and management vs. Organisational structure Number of ongoing projects But no averall implementation plan yet in place

21. 21 Harmonisation between NSIs? Is it unbridgeable differences in the business model of the NSIs ? Is it possible to harmonise the information architecture of the NSIs? Thus; is it possible to harmonise the IT architecture of the NSIs, and subsequently to be able to exchange components and to take further stock on our common knowledge?

22. 22 ?