New ways of working at Statistics Sweden – a description with emphasis

1. New ways of working at Statistics Sweden – a description with emphasis … on preparatory sub-processes Eva Elvers Statistics Sweden eva.elvers@scb.se

2. Outline of the presentation • Work during 2007, the Lotta-project • New and renewed departments 2008 • The statistical production process • The preparatory sub-processes • Some concluding remarks

3. Work during 2007 – structure The so-called Lotta-project • Standardisation: processes and tools • Quality assurance • Competence development and management issues • Communication and involvement

4. Work during 2007 – some areas • SOA, Service Oriented Architecture • Structured data warehouses • Data collection, coding • Questionnaires: design, construction, … • Editing: several studies • Communication of quality with users • Process data and metadata

5. New organisation 2008 New and renewed departments: • A new Process Department • Dep. Research and Development changed • IT and methodological architecture • Quality • Projects • Other changes, e.g. • Communication • National Accounts

6. Process department • Management • Process owners and ‘assistants’five broad process areas • Maintenance and test, models • Process implementation • Centralised Methodology • Centralised IT

7. How-to-do and support • Standard methods and tools – successively decisions • Checklists – tool and assistance • ‘Business Operation Support System’ (BOSS) initiated; general texts and checklists first • Networks • Respond to questions, suggestions, … • Implementation order? • Develop

8. SCB The statistics production process Evaluate and feed back 8 Establish user needs 1 Plan and design 2 Build and test 3 Collect 4 Process 5 Analyse 6 Publish and communicate 7 Support and infrastructure Here emphasis on processes 2-3

9. 2. Plan and design - process • Design a new survey (production process) • Re-design an existing survey • Continuous improvements; adjustments for a new production round/year

10. Choose, allocate, and plan • Choose methods and tools within each process based on recommendations, and • also so that they fit together, forthe whole production process • Allocate resources between processes – how? • Plan production flow, staff and times

11. Knowledge needed … for choices and for improvements Process data (paradata) • Quality – indicators • Costs Study Q/C - relationship Q: value added – measure?! Influence on quality components, e.g. accuracy

12. 3. Build … … according to design • Questionnaire • Production tools: Use or adjust existing tool or develop tool, if needed • Communication between tools, so production flow

13. … and test – what? • Questionnaires • Production tools • Production flow • Pilot test/study

14. Test – in what senses? Different methods and competences: • Statistical methods • Qualitative methods • IT Exchange between these three: • how-to-think • methodology • concepts

15. Concluding remarks • Great and important changes • Communication vital, ‘all’ directions • Development continues • Implementation • Preparatory sub-processes started and on their way