Gsbpm gamso

1. United Nations Economic Commission for Europe
Statistical Division
United Nations Economic Commission for Europe
Statistical Division
GSBPM and GAMSO
Steven Vale
UNECE
steven.vale@unece.org

2. Contents
 Overview of GSBPM
• Background / structure
• Uses
 Overview of GAMSO
• Background / structure
• Uses
 Questions

3. What is the GSBPM?
 Generic Statistical Business Process Model
 It shows the different steps needed to
produce official statistics
 It provides standard terminology to help
statistical organisations
• Modernise statistical production processes
• Share methods and components

4. 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

5. Who created the GSBPM?
 The Conference of
European Statisticians
Steering Group on
Statistical Metadata
 Part of the Common
Metadata Framework
• www.unece.org/stats/cmf

6. How was it created?
 Based on the business process model
developed by Statistics New Zealand
 Added phases for:
• Archive (inspired by Statistics Canada)
• Evaluate (Australia and others)
 Three rounds of comments
 Terminology and descriptions made
more generic

8. Result: GSBPM Version 4.0
 Released April 2009

9. Updating the GSBPM
 By 2013 many organisations had
adopted GSBPM – and given feedback
 Related new models and standards had
been developed
 Agreement that GSBPM needed to be
“refreshed” to maintain relevance

10. 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

11. Result: GSBPM Version 5.0
 Released December 2013

12. 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

13. Process-oriented approach
 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

14. Topics
P
r
o
c
e
s
s
e
s

15. What will this mean for resources?

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

17. Applicability (2)
 Development and maintenance of
statistical registers
 All types of data source:
• Surveys / censuses
• Administrative sources / register-based
statistics
• Mixed sources
• “Big Data”

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

19. 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)

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

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

26. KSBPM – Republic of Korea

27. Beyond statistics: Data archives
Generic Longitudinal Business Process Model

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

29. GAMSO

30. What is the GAMSO?
 Generic Activity Model for Statistical
Organisations
 It extends and complements the GSBPM
by adding other activities needed to
support statistical production

31. Background
 In the GSBPM, activities not directly part of
statistical production are referred to as over-
arching processes, and are listed, but not
elaborated in detail
 There have been several calls to expand the
GSBPM to better cover these activities. The
GAMSO was developed to meet these
needs

32. Level 1 of the GAMSO

33. Who created the GAMSO?
 The business activity model developed by
the Statistical Network provides the basis
for over 70% of the content of GAMSO.
 The Modernisation Committee on
Standards further developed GAMSO,
taking account of comments from a public
consultation
 GAMSO v1.0 was approved by HLG in
March 2015.

34. Production
 The Production activities in GAMSO are
those included in the GSBPM version 5.0
 GAMSO is, by construction, fully
consistent with GSBPM v5

35. Strategy and leadership
Strategy and leadership
1.1 1.2 1.3
Define vision Govern & lead
Manage strategic
collaboration & cooperation

36. Corporate support
Corporate Support
3.1 3.2 3.3 3.4 3.5 3.6 3.7 3.8 3.9 3.10
Manage
business &
performance
Manage
finances
Manage
human
resources
Manage
IT
Manage
statistical
methodology
Manage
information
&
knowledge
Manage
consumers
Manage
data
suppliers
Manage
buildings
&
physical
space
Manage
quality

37. Capability management
 Capability - an ability that an organisation,
person, or system possesses
 Capabilities typically require a combination
of organisation, people, processes, and
technology to achieve
Capability management
2.1 2.2 2.3 2.4
Plan capability
improvements
Develop capability
improvements
Monitor capabilities
Support capability
implementation

38. Uses of GAMSO
 Resource planning
 Measuring costs
 Assessing readiness to implement
different aspects of modernisation
 Supporting risk management systems
 Implementing enterprise architecture
 Measuring and communicating the value
of statistical modernisation activities

39. What next for GAMSO?
 Statistical organisations starting to use it
 Collect feedback
 Review in early 2016
 Revision (if needed!)

40. Maintaining GSBPM & GAMSO
 Owner = High-Level Group
 Maintenance is delegated to the
Modernisation Committee on Standards
 Discussion forums to gather feedback
 Importance of stability over time
• Reviews every 5 years
• Revisions only if really needed

41. More information
 Virtual Standards Helpdesk
http://www1.unece.org/stat/platform/display/VSH

42. Questions?