1. The Generic Statistical Business Process Model
Steven Vale
UNECE

2. What is the GSBPM?
A flexible model that describes and defines the set of business processes needed to produce official statistics
Standard framework and harmonised terminology to help statistical organisations
Modernise statistical production processes
Share methods and components

3. Background Developed by the Steering Group on Statistical Metadata
Part of the Common Metadata Framework
Version 4 released April 2009
Version 5 released December 2013

4. Why do we need the GSBPM?
To define and describe statistical processes in a coherent way
To compare and benchmark processes within and between organisations
To make better decisions on production systems and organisation of resources
For example; Ireland put price on each box to see the cost , compare with other organisations
It is about efficiency, compare the different processes
Could use for example to compare the production of population data or Rand D statistics. 4

5. Applicability (1)
All activities undertaken by producers of official statistics which result in data outputs
All statistical domains
National and international statistical organisations

6. Applicability (2) Development and maintenance of statistical registers
All types of data source:
Surveys / censuses
Administrative sources / register-based statistics
Mixed sources

7. Modernization of official stattistics is about the re-design of statistical business processes along which data are collected, processed and disseminated.
In order to do so, a common framework is needed to identify and describe each individual process.
GSBPM offers such framework, describing each step in the production process from the beginning (needs specification) to the end (evaluation and archiving).
Applicable to all domains of statistics, and providing a common language to describe statistical production processes. GSBPM is a flexible tool to compare and harmonize production processes within and across NSIs. As such, it facilitates collaboration and sharing of tools among NSIs.
Many participants will be familiar with the GSBPM, developed by the CES and published in 2009.
The GSBPM provides a framework of standard terminology to describe and define the set of business processes needed to produce official statistics. It is intended to apply to all activities undertaken by producers of statistics at both national and int. levels, which results in outputs. It is designed to be independent of the data sources, so it can be used for the description and qality assesment of processes based on surveys, censuses, administartive records, and other non-statistical or mixed sources.
Developed by UNECE. GSBPM model structured into nine phases (level 1) and their sub-processes (level 2) with a description of activities taking place under each sub-process.
A review is taking place during 2013 which may result in a new version in late 2013 or early 2014.

8. Changes between v4 and v5 Policy of minimum change
Only if wide agreement and good business case
Removed Phase 8 (Archive)
Archiving happens throughout processes
Improved documentation
Less survey-focused
Links to newer standards e.g. GSIM
More detail where requested by users 8

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

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

11. Not a linear model Key features
Sub-processes are not followed in a strict order
It is a matrix, through which there are many possible paths

13. Mapping requested at SPECA meeting in Issyk-Kul
Fundamental Principles of Official Statistics

15. The GSBPM is used by more than 50 statistical organisations
worldwide

17. KSBPM – Republic of Korea

18. Beyond statistics: Data archives
Generic Longitudinal Business Process Model
Developed by the Data archives community.
Adjusted our model
We link to this community through the Data Documentation Initiative (DDI)

19. Uses of the GSBPM Managing statistical programmes
Cost / resource allocation
Documenting statistical processes
Framework for quality assessment
Sharing statistical software 19

20. More information GSBPM Wiki www1.unece.org/stat/platform/display/GSBPM20