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United Nations Economic Commission for EuropeStatistical DivisionUnited Nations Economic Commission for EuropeStatistical Division
Standards-based Modernisation
An update on the work of the High-level Group for the Modernisation of Statistical Production and Services
Steven ValeUNECE
Contents
Modernisation and the High-level Group Standards Projects Big Data
Why is modernisation important?
In the last 2 years more information was created than in the whole of the rest of human history!
Making sense of the Data Deluge
Statistics fights back!
High Level Group for the Modernisation of Statistical Production and Services (HLG)• Created by the Conference of European
Statisticians in 2010• 10 heads of national and international statistical
organisations
The Challenges
Increasing cost & difficulty of
acquiring dataNew competitors &
changing expectations
Rapid changes in the environment
Competition for skilled
resources
Reducing 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
more efficiently
No domain is special!
Do new methods and toolssupport this vision, or do they
reinforce a stove-pipe mentality?
The answer ...Standards-based Modernisaton
The GSBPM
Why a Generic StatisticalBusiness Process Model?
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
Business register processes mapped to GSBPM (see 2011 paper)
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
Projects for 2013
Reviewing GSBPM and GSIM
Gather feedback from users of the models through public discussion forumsNew versions of GSBPM and GSIM by the end of 2013But ... any changes will need a strong business case and wide agreement
• Continuity is important• Major change is unlikely
Mapping GSIM to DDI and SDMX
Detailed mapping between the information objects in the GSIM, with those in the information models of DDI and SDMX.
Aims to identify any issues affecting the coherence of these standards
Propose solutions where possible
Historically, statistical organisations have produced specialised business processes,
methods and IT systems for each survey / output
How does architecture help?
Many statistical organisations are modernising and transforming using Enterprise Architecture
Enterprise Architecture shows what the business needs are, where the organisation wants to be and aligns the IT strategy to this
It can help to remove silos and improve collaboration across an organisation
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!
Big Data: A newproject for 2014?
Paper: What does Big Data mean for official statistics?
Project proposal from global task team:• Objectives: Develop and test methods and tools• Scope: Big Data in modernisation of official statistics• Work package 1: Issues and methodology• Work package 2: Shared computing environment
(“sandbox”), practical application of methods and tools
• Work package 3: Training and dissemination
HLG and Big Data
Many un-answered questions:
• Data on-site or in the cloud?
• How to link Big Data with registers / surveys?
• How to define units?
• Classifications – on the fly?
• How to ensure sufficient confidentiality?
• Continuity?
Big Data and Business Registers
Get involved!
Anyone is welcome to contribute!
More Information• HLG Wiki:
http://www1.unece.org/stat/platform/display/hlgbas
•LinkedIn group “Business architecture in statistics”
