Transcript United Nations Economic Commission for Europe Statistical Division The Generic Statistical Business Process Model and its Implementation in Practice Steven Vale, UNECE.

United Nations Economic Commission for Europe
Statistical Division
The Generic Statistical
Business Process Model
and its Implementation
in Practice
Steven Vale, UNECE
Contents
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Introducing the GSBPM
Links to other standards
Further development of the GSBPM
Implementation in practice
conceptual
Statistical
Concepts
Information
Concepts
GSBPM
GSIM
practical
Common Generic
Industrial Statistics
Methods
Statistical
HowTo
Technology
Production
HowTo
GSBPM – The Background
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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
Topics
P
r
o
c
e
s
s
e
s
Terminology
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Defining and modelling processes in
statistical organisations started at least
10 years ago
“Statistical value chain”
• “Survey life-cycle”
• “Statistical process cycle”
• “Business process model”
•
Terminology
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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”
•
X
X
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X
Generic Statistical Business
Process Model
Why do we need a model?
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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
Developing the GSBPM
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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
Applicability
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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
Structure of the GSBPM
Process
Phases
Subprocesses
(Descriptions)
Structure of the GSBPM (2)
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National implementations may need
additional levels
Over-arching processes
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Quality management
Metadata management
Statistical framework management
Statistical programme management
........ (8 more – see paper)
Key features
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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
Links to other standards
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SDMX standards refer to business
processes, but do not have a model
DDI has the Combined Life Cycle Model
Combining standards?
Functionality stretched too far?
Further development of the GSBPM
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UNECE Task Force
No change to model (for at least 2 years)
5 themes:
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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
Workshop on Statistical Metadata
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Theme: Implementing the GSBPM and
combining metadata standards
Where: Geneva
When: 5-7 October 2011
More information: UNECE website www.unece.org/stats/documents/2011.10.metis.htm
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All welcome!
Implementation
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30+ countries have adopted the GSBPM
or national versions as a framework to
describe statistical production
Also used for:
•
Quality management
• Cost allocation
• Time recording
• “Classification” of IT systems
Statistics Sweden
Czech
Republic
Republic of Korea - KSBPM
Governance
Statistical policy management
Statistical coordination
Quality management
Statistics-based
policy management
Support for the production quality
Quality check in each production step Management of statistical production
Support
for production
Production process pool
Sharing of statistical
information
Support for population-related
information
Planning
Data collection
Dissemination
Sharing of statistical
business knowledge
Support
for sampling design
Design
Data processing
Archive
Metadata use
Support for enumeration
districts and maps
Implementation
Analysis
Evaluation
Help desk
Questions and Comments?
[email protected]
www.unece.org/stats/gsbpm