modernising official statistics
TRANSCRIPT
United Nations Economic Commission for EuropeStatistical DivisionUnited Nations Economic Commission for EuropeStatistical Division
Introduction to the Initiative
Steven ValeUNECE
Introducing UNECE Statistics
UNECE Statistics: Priorities
Population censuses, migration, gender Globalisation, National Accounts,
employment, business registers Sustainable development,
environmental accounts, climate change
Modernisation
Introducing the HLG-MOS
High-level Group for the Modernisation of Official StatisticsCreated by the CES Bureau in 2010Strategic vision endorsed by CES in 2011/2012Annual projects in priority areasActivities are voluntary and demand driven
Who are the HLG-MOS members?
Ireland - Chair Australia Canada Italy Netherlands New Zealand Republic of Korea Slovenia
Eurostat OECD UNECE
Why is the HLG-MOS needed?
Before the HLG-MOS Now
Many expert groups Clear vision
Little coordination Agreed priorities
No overall strategy Strategic leadership
Limited impact Real progress
• Launched in 2016• Open to all statistical organisations
who endorse “Statement of Intent”• No fee, but expectation to contribute• Partners benefit from collaboration
and sharing• Four main principles:
− Openness− Flexibility− Participation− Pragmatism
Statistical Modernization Community
The Challenges
These challenges are too big for statistical organisations to
tackle on their own
We need to work together
Using common standards, statistics can be produced
more efficiently
No domain is special!
Do new methods and toolssupport this vision, or do they
reinforce a stove-pipe mentality?
HLG-MOS
Expert Groups
Projects
The story so far - 2011
The story so far - 2013
The story so far - 2015
CSPA
GSBPM
GAMSO
The GSBPM
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
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
What will this mean for resources?
Applicability (1)
All activities undertaken by producers of official statistics which result in data outputs
All statistical domains National and international statistical
organisations
Applicability (2)
Development and maintenance of statistical registers
All types of data source:• Surveys / censuses• Administrative sources / register-based
statistics• Mixed sources• “Big Data”
Structure of the Model (1)Process
Phases
Sub-processes
(Descriptions)
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
The GSBPM is used by more than50 statistical organisations
worldwide
KSBPM – Republic of Korea
Beyond statistics: Data archivesGeneric Longitudinal Business Process Model
Uses of the GSBPM
Managing statistical programmes Cost / resource allocation Documenting statistical processes Framework for quality assessment Sharing statistical software
The GAMSO
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
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
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.
Level 1 of the GAMSO
Capabilities A capability is an ability that an organisation,
person, or system possesses
Methods People
Standards and
Frameworks
Processes Technology
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
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
What is the GSIM? A reference framework of information
objects:• Definitions• Attributes• Relationships
It gives us standard terminology GSIM aligns with relevant standards such
as DDI and SDMX
GSIM and GSBPM
GSIM describes the information objects and flows within the statistical business process.
110 information objects!
Clickable GSIM
Other relevant standards
DDI SDMX
GSIMConceptual model
Implementationstandards
the Future of Statistical ProductionCSPA
What is the CSPA?
• A template architecture for official statistics
• A set of standard specifications for new statistical components(services) that can beused in a modular way
• A new way of developing statistical tools, with sharability as a design feature, not an afterthought
Problem statement:Specialised business processes, methods and IT systems for each survey / output
Applying Enterprise Architecture
Disseminate
... but if each statistical organisation works by themselves ...
... we get this ...
.. which makes it hard toshare and reuse!
… but if statistical organisations work together to define a common
statistical production architecture ...
... sharing is easier!
We all have to modernise our statistical production systems
The marginal cost of doing this in a way that supports collaboration and complies with CSPA is relatively low, but the potential savings from such a standard approach are high
Key Message
Get involved!Anyone is welcome to contribute!
More Information HLG-MOS Wiki: www1.unece.org/stat/platform/display/hlgbasLinkedIn group:“Modernising official statistics”