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United Nations Economic Commission for EuropeStatistical DivisionUnited Nations Economic Commission for EuropeStatistical Division
Standards and Statistical Production Architectures
Steven ValeUNECE
steven.vale@unece.org
High-Level Group for the Modernisation of Statistical Production and Services
Created by the Conference of European Statisticians in 2010
10 heads of national and international statistical organisations
Background
The Challenges
Increasing cost &
difficulty of acquiring
data
New competitors & changing
expectations
Rapid changes in the environment
Competition for skilled resourcesReducing
budget
Riding the big data
wave
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
in a more efficient way
No domain is special!
Do new methods and toolssupport this vision, or do they
reinforce a stove-pipe mentality?
Common genericstatistics production
GSBPM GSIM
Methods Technology
StatisticalConcepts
InformationConcepts
StatisticalHowTo
ProductionHowTo
Standards-based modernization
Projects
2012
2013
GSBPM – Standard Processes
GSIM and GSBPM
GSIM describes the information objects and flows within the statistical business process.
So what is GSIM?
A reference framework of information objects:• Definitions
• Attributes
• Relationships
GSIM aligns with relevant standards such as DDI and SDMX
GSIM gives us standard
terminology
“support the enhancement and implementation of the
standards needed for the modernisation of statistical production and services”
Components
Implementing GSIM Mapping GSIM to DDI and SDMX Reviewing / revising GSBPM and GSIM Links to geo-spatial standards
• New task team to assess the role of geo-spatial standards in the modernisation of official statistics
Training and advocacy
Aims
Increased: interoperability through sharing processes
and components ability to find real collaboration opportunities ability to make international decisions and
investments sharing of architectural design, knowledge and practices
Historically statistical organisations have developed specialised processes and systems
How does architecture help?
Many statistical organisations are modernising using Enterprise Architecture
It can help to remove silos and improve collaboration across an organisation.
EA helps you get to this
Disseminate
…but if each statistical organisation works in isolation…..
NSI
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…but if statistical organisations work together
An industry architecture will make it easier to standardise and combine the components of statistical production,
regardless of where they are built
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Lego pieces could be:
Brand newWrapped
legacy/existing
An industry architecture is:
“a set of agreed common principles and standards
designed to promote interoperability in an industry”
“an architecture template for statistical production”
“a common vocabulary to discuss implementations”
Proof of Concept
Demonstrate the process of working together
Demonstrate business viability to senior management
Prove the value of the architecture
Catalogues
Do you want to get involved?
Projects• Sprints / virtual task teams / reviews
Other activities / project proposals?
Let us knowsupport.stat@unece.org
More information
HLG Wikiwww1.unece.org/stat/platform/display/hlgbas
Linked Group
Business Architecture in Statistics
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