gsbpm-gamso_july 2015
TRANSCRIPT
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United Nations Economic Commission for EuropeStatistical DivisionUnited Nations Economic Commission for EuropeStatistical Division
GSBPM and GAMSO
Steven ValeUNECE
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Contents
Overview of GSBPM• Background / structure• Uses
Overview of GAMSO• Background / structure• Uses
Questions
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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
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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 BusinessProcess Model
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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
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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
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Result: GSBPM Version 4.0 Released April 2009
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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
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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
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Result: GSBPM Version 5.0 Released December 2013
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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
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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
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Topics P r o c e s s e s
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What will this mean for resources?
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Applicability (1)
All activities undertaken by producers of official statistics which result in data outputs
All statistical domains National and international statistical
organisations
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Applicability (2)
Development and maintenance of statistical registers
All types of data source:• Surveys / censuses• Administrative sources / register-based
statistics• Mixed sources• “Big Data”
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Structure of the Model (1)Process
Phases
Sub-processes
(Descriptions)
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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)
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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
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The GSBPM is used by more than50 statistical organisations
worldwide
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KSBPM – Republic of Korea
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Beyond statistics: Data archivesGeneric Longitudinal Business Process Model
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Uses of the GSBPM
Managing statistical programmes Cost / resource allocation Documenting statistical processes Framework for quality assessment Sharing statistical software
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GAMSO
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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
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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
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Level 1 of the GAMSO
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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.
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Production
The Production activities in GAMSO are those included in the GSBPM version 5.0
GAMSO is, by construction, fully consistent with GSBPM v5
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Strategy and leadership
Strategy and leadership
1.1 1.2 1.3
Define vision Govern & lead Manage strategic collaboration & cooperation
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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
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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
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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
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What next for GAMSO?
Statistical organisations starting to use it Collect feedback Review in early 2016 Revision (if needed!)
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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
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More information
Virtual Standards Helpdesk
http://www1.unece.org/stat/platform/display/VSH
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Questions?