1 1 Expected synergies when merging IT and Statistical Methods in Statistics Norway ITDG Eurostat, October 2009 Rune Gløersen Director of IT and Statistical Methods Statistics Norway

2 Economics, Energy and the Environment Torstein Bye Social Statistics Johan- Kristian Tønder Industry Statistics Nils Håvard Lund National Accounts and Financial Statistics Anna Rømo Research Ådne Cappelen Chair of the Board Director General Øystein Olsen Development Cooperation Human Resources and Communication Anne Skranefjell Planning and Finance Hans Viggo Sæbø IT and Statistical Methods Rune Gløersen Data Collection Anne Sundvoll Statistics Norway 100 IT persons 15 Statistical Methodologists

3 The fields of Statistical Methods Sampling design Data editing Imputation Inference Estimation including treatments of non response and small area estimation Seasonal adjustments Confidentiality Quality assessments Time series analysis

4 Objectives Broaden the role and scope for statistical methods –Architecture, Metadata –Quality system, assessments, audits Contribute to the development and support of a coherent statistics production system Implement routine work as functionality of framework systems, in order to strengthen the efforts on research and development Closer cooperation and participation in systems development More transparent prioritisation of resources

5 A programme for improvement and standardisation Development of standardised processes, methods and systems Systematic quality measurements and control Development of organisation and human resources supporting this

6 Standardisation projects Check-list and indicators for data collection System for interview surveys Coordination of samples for business surveys A framework system for data editing and estimation A coherent metadata systems environment Development of a geo database for ground property maps Improving data archiving and secondary use of data for researchers Extensive developments in dissemination and redesign of website Overview of guidelines and handbooks Quality assessment covering all statistical products and processes

7 Statistical population management Data Collection Sample administration Dissemination Master Metadata Analysis Data Editing and estimation Archive Framework Systems overview

8 8 Statistical Populations Data collection Master metadata Sample administration Micro and Top down Editing Other statistical products Screen Builder Checks and Rules Dissemination Estimation Analyses ISEE

9 Model for Total Quality and Code of Practice

10 Process variables in the framework of data quality assessment

11 P D O IT Governance model Premise provider (top management to set out framework) IT and Statistical Methods forming a professional service provider organisation Subject matter departments - ownership - roles - responsibilities rderelivery remises - meetings - escalation

12 P D O Governance SLA Products ORG PPM Overall priorities SLAs with each department Defined portfolio Service provider organisation Project Portfolio mgmnt

13 Concluding with the objectives Broaden the role and scope for statistical methods –Architecture, Metadata –Quality system, assessments, audits Contribute to the development and support of a coherent statistics production system Implement routine work as functionality of framework systems, in order to strengthen the efforts on research and development Closer cooperation and participation in systems development More transparent prioritisation of resources