1. The Generic Statistical Business Process Model Steven Vale and Marlen Jigitekov, UNECE

2. Contents Introducing the GSBPM Links to other standards
Further development of the GSBPM

3. GSBPM – The Background
Statistical production has traditionally been organised by topic, e.g. transport, trade, …
Financial pressures are encouraging new ways of thinking
Some statistical organisations are moving towards a process-based approach
Others are considering a matrix approach
The traditional, or “stove-pipe” way of producing statistics was based on one survey for one output, often with custom-made processing. This is now seen as too expensive, inflexible and inefficient.
Whilst some organisations are re-organising based on common processes, others, such as Statistics Sweden, are considering a matrix approach.

4. So statistical production can be organised in subject-matter stove-pipes (the green columns), or by processes (the pink rows), or in a matrix.

5. Why do we need a model?
To define and describe statistical processes in a coherent way
To standardize process terminology
To compare and benchmark processes within and between organisations
To identify synergies between processes
To inform decisions on systems architectures and organisation of resources 5

6. Developing the GSBPM
Developed by the UNECE Steering Group on Statistical Metadata (METIS)
Based on the business process model developed by Statistics New Zealand
Three rounds of comments made the terminology and descriptions more generic
Adopted in April 2009 6

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

8. Structure of the GSBPM Process Phases Sub-processes (Descriptions)
The GSBPM has several levels, starting with the production process itself.
This is divided into 9 phases: Specify needs, Design, Collect, Process, Analyse, Disseminate, Archive, Evaluate
Each phase is divided into a number of sub-processes represented by the pink boxes.
Further, more detailed, levels can be added for national implementations, but would not be sufficiently generic to be included in the international model.

9. Not a linear model Key features
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

10. This is an example of a statistical production process moving through the model. You can see that it does not follow all sub-processes. It has an iterative loop between sub-processes in the Process and Analyse phases, and when it reaches the end, it does not go right back to the start. For regular processes, it is not necessary to Specify needs, Design and Build systems each time the process runs.

11. Links to other standards
SDMX standards refer to business processes, but do not have a model
DDI has the Combined Life Cycle Model
DDI = Data Documentation Initiative, a standard for using and archiving large micro-data sets

12. Combining standards?
The GSBPM could provide a framework for managing interfaces between data and metadata standards.
For example, there is some discussion at the moment about using DDI and SDMX together in statistical production processes that start with microdata and end with aggregates. DDI was originally developed for managing microdata, and SDMX for disseminating and exchanging aggregates. Rather than trying to make one standard do everything, it might be better to use the relative strengths of both.

13. Functionality stretched too far?
Here is an example of what happens when too much functionality is added. The complexity means that even the original use becomes difficult!

14. Further development of the GSBPM
UNECE Task Force
No change to model (for at least 2 years)
5 themes:
National Implementations of the GSBPM
Communication resources
Metadata flows within the GSBPM
GSBPM and process quality management
Other groups using the GSBPM as a framework for their activities
The Task Force on the Further Development of the GSBPM identified these 5 priority areas, and are developing materials and information on each of these, for presentation at a Workshop in October.

15. Workshop on Statistical Metadata
Theme: Implementing the GSBPM and combining metadata standards
Where: Geneva
When: 5-7 October 2011
More information: UNECE website -
All welcome!
And here is the information about that Workshop. Invitations have been sent to all statistical organisations in the UNECE region, and you would be very welcome to participate. For more information, please see the web site.

16. Questions and Comments?