1. Background Defining and mapping business processes in statistical organisations started at least 10 years ago –“Statistical value chain” –“Survey life-cycle” –“Statistical process cycle” –“Business process model”

2. Background Defining and mapping business processes in statistical organisations started at least 10 years ago –“Statistical value chain”X –“Survey life-cycle”X –“Statistical process cycle”X –“Business process model”X Generic Statistical Business Process Model

3. Why do we need a model? To define, describe and map statistical processes in a coherent way To standardize process terminology To compare / benchmark processes within and between organizations To identify synergies between processes To make informed decisions on systems architectures and organization of resources

4. History of the Current Model (version 4.0 April 2009) Based on the business process model developed by Statistics New Zealand Added phases for: –Archive (inspired by Statistics Canada) –Evaluate (Australia and others) At least three rounds of comments Terminology and descriptions made more generic Wider applicability?

5. Applicability (1) All activities undertaken by producers of official statistics which result in data outputs National and international statistical organizations Independent of data source, can be used for: –Surveys / censuses –Administrative sources / register-based statistics –Mixed sources

6. Applicability (2) Producing statistics from raw data (micro or macro-data) Revision of existing data / re-calculation of time-series Development and maintenance of statistical registers

7. Structure of the Model (1) Process Phases Sub- processes (Descriptions)

8. Structure of the Model (2) National implementations may need additional levels Over-arching processes –Quality management –Metadata management –Statistical framework management –Statistical programme management –........ (8 more – see paper)

9. Key features (1) Not a linear model Sub-processes do not have to be followed in a strict order It is a matrix, through which there are many possible paths, including iterative loops within and between phases Some iterations of a regular process may skip certain sub-processes

11. More information? http://www1.unece.org/stat/platform/displa y/metis/The+Generic+Statistical+Business +Process+Model

12. Metadata systems are covering each phase (METIS 2008)

13. Metadata by use process - SCB

14. Case study (Statistics Norway) Description of the production process for Price index for legal services with emphasis on the use of metadata throughout the process. –Description of the process for a new statistic and for future publishing of the same statistic. –Creation of a metadata checklist that can be used whenever this type of statistics is produced. 7 participants: IT, standards, metadata, statistics 450 man-hours for the project.

15. Result 1 – New statistic ProcessActivitiesActors 1 Specify needsStatistics division, Eurostat, National accounts, Branch organisation, businesses, Justice department 1.1 Consult and confirm need Discuss need for price index with national accounts & branch organisation

16. Result 2 – Metadata overview ProcessCreateUseUpdate 1.1 Consult and confirm needs Product nr.Dissemination policy Project description.Eurostats legislative decree Documentation of discussions with actors.

17. ProcessCreateUseUpdate 6.5 Prepare statistics for dissemination New classifications for new statistics, if necessary Existing classifications Classifications for established statistics New variables for new statistics, if necessary Existing variables Variables for established statistics Result 3 – Metadata overview

18. Result 4 – Metadata checklist ProcessMetadata checklist 1Specify needs 1.1Consult and confirm need Update product register, make resource estimates and project description. 1.2Establish output objectives Check for existing variables and classifications and update if necessary.

19. Specify needs Develop & design BuildCollectProcessAnalyseDisseminate Variables XXX Classifications XXXX File descriptions XX Questionnaires XX Rules XXX About the statistics XX About the data collection X Metadata portal X Metadata systems & Statistics Norways Statistical Business Process Model

20. Specify needs Develop & design BuildCollectProcessAnalyseDisseminate Eurostat XX Branch organisations XXX Businesses XXXX Justice department X Director general XX Head of department XX Head of division XXXXX Resp. statistics XXXXXXX Different actors & Statistics Norways Statistical Business Process Model

21. Conclusions - case study -Process improvements were suggested and made - Include metadata documentation and linking of metadata in formal approval procedure - Suggestions for improved functionality in systems were identified and improvements made.

22. Conclusions – BP model - The method of documenting a statistic based on the Statistical Business Process Model, can be used for other statistics. - Documentation of new and established statistics is useful for training new employees and for rotation of current employees

23. Conclusions – BP model – cont. -The business process model is an important tool in planning, standardising and improving work processes in statistical production, and for training purposes. -The business process model is also a communication tool for standardisation and cooperation between statistical agencies and government departments.