1. 1 Processorientated statistical production IAOS Conference, October 16, 2008 Åke Bruhn, Director, Process Dept, Statistics Sweden

2. 2 Content The journey to develop quality and reduce costs The normal situation today – the situation tomorrow Which problem to solve Some results at Statistics Sweden Some lesson learned so far at Statistics Sweden

3. 3 Process investigation: many different production processes and/or production methods, tools, systems to solve the same task Change in organisation: Input-thruput- output TQM: Structured quality work, the customer in focus; correct from the beginning The journey to develop quality and efficiency

4. 4 The normal situation today – each product has its own processes A.2B. OWNC. OWND. OWNE.1 A. OWNB. OWND. OWNE. OWN A. OWNB. OWNC. OWND. OWNE.1 Some common processes are used Only own processes are used Own processes are dominating Pro- cess A Pro- cess B Pro- cess C Pro- cess D Pro- cess E Products

5. 5 The situation tomorrow – processes and products in cooperation A.1B.1C.1D.3E.3 A.2B.1D.1E.1 A.2B.2C.2D. OWNE.1 Only standardized processes Standardized but one process isn´t in use Some own processes are in use Pro- cess A Pro- cess B Pro- cess C Pro- cess D Pro- cess E Products

6. 6 Which problem to solve? Make the statistical production more effective and reduce the cost with the same or higher quality The customers needs are not always in focus Unclear rolls and responsibility between the product-owner, the process-owner and the producer The steering of the today's processes is to weak The development of the today's processes is unstructured and not enough standardized

7. 7 More problem to solve Expensive to develop, maintain and document many systems and tools Difficult to implement new and better methods and tools and focus on competence development Many systems result in different quality Development work is depending on the competence in each product The resources of the NSI are not used in an effective way Sweden: The LOTTA project was established in spring 2006

8. 8 Results from the LOTTA- project and the ongoing work in the new line-organization New organisation established 1 January 2008; Process department, R&D department A common process map to follow for all statistical products

9. 9 The Statistical Process identify clients 1.2 Establish Information need 1.4 Establish client contact 1.3 Negotiate and agree 1.5 Prepare dissemination 7.1 Produce final output 7.2 Disseminate final output to client 7.3 Classifu and code micro data 5.1 Edit Micro data 5.2 Impute for non-response 5.3 Complement micro data 5.4 Calculate weights 5.5 Carry out disclosure control 6.3 Produce frame and register population 4.1 Prepare Data collection 4.3 Carry out Data collection 4.4 Transfer and store data electronically 4.5 Design output 2.1 Design data collection 2.3 Design processing 2.4 Design analysis 2.5 Designa dissemination and communication 2.6 Design production flow 2.7 Create Measurement instrument 3.1 Create and adjust Prduction tools 3.2 Create production flow 3.3 Test measurement instrument 3.4 Test production tool and production flow 3.5 Carry out Pilot study 3.6 Produce statistical output 6.1 Edit macro data 6.2 Establish final observation register 6.4 Interpret and explain 6.5 Design frame, registerpopulation and sample 2.2 Identify information needs and availability 1.1 Communicate Final output 7.4 Draw sample 4.2 Plan production flow 2.8 Implement production flow 3.7 Establish contents for dissemination and communication 6.6 Establish needs 1 Design and Plan 2 Create and Test 3 Collect 4 Process 5 Analyse 6 Disseminate and Communicate 7 Select and archive 7.5 Note: Informal translation Support and Infrastructure Evaluate and Feed back 8

10. 10 More results from the LOTTA- project and the ongoing work in the new line-organisation Processorientated thinking Structured process development organisation New standardised methods and tools are decided and introduced for all processes Quality management system (EFQM, SixSigma, ISO 20 252) Structured competence development

11. 11 Some lesson learned so far Strengthen in our thoughts that this is the best way to reduce cost and secure quality – run smarter not quicker Take time and a lot of efforts to change staff- members thinking, attitude and culture Take time to develop processes and show good examples

12. 12 Thank you for your attention! Questions and/or comments? e-mail: ake.bruhn@scb.se