1. Key elements of quality frameworks, to be applied to statistical processes at NSI’s The 2nd European Establishment Statistics Workshop – EESW11 Neuchâtel Switzerland, September 12-14 2011 Robert Griffioen, Arnout van Delden and Peter-Paul de Wolf

2. EESW11 Workshop, 12-14 September 2011, Neuchâtel 1 Goal and context T o develop a framework for managing and monitoring the statistical value chain such that the final products meet predefined quality standards.

3. EESW11 Workshop, 12-14 September 2011, Neuchâtel 2 Review of quality frameworks To prevent reinventing the wheel. Quality frameworks: TQM, OQM, Lean, Six-Sigma Three commonalities: Focus area (Dimension applied to object) Indicators (Measurement system) Strategy (Improvement cycle)

4. EESW11 Workshop, 12-14 September 2011, Neuchâtel 3 Study of objects of the statistical value chain Objects of official statistics: Data Processes Chain What is it? What is its quality? How to improve its quality?

5. EESW11 Workshop, 12-14 September 2011, Neuchâtel 4 A rudimentary preliminary model Objectives Knowledge Focus Area IndicatorsStrategy Specify Set norm LocaliseVisualise

6. EESW11 Workshop, 12-14 September 2011, Neuchâtel 5 Application of quality model/framework to the statistical chain Client of combination of processes/products 1 Objectives process 2 1 2 Client of a single process/product Input/output side of a process Flow of data Flow of demand criteria Client criteria (external) Objectives criteria (internal)

7. EESW11 Workshop, 12-14 September 2011, Neuchâtel 6 Future work Further work out the quality framework Methods to develop instances of the framework, for example for desining indicator sets, norms sets, etc. The extent to which type of statistics we could apply the quality framework.