High Level Group
for Strategic Developments in
Business Architecture in Statistics
Strategy
Gosse van der Veen,
Statistics Netherlands
CES 2012 Paris
1
THEN, JUNE 2011
VISION ENDORSED BY CES
CES 2012 Paris
2
High Level Group Vision:
We have to re-invent our
products and processes
and adapt to a changed
world
CES 2011 Geneva
3
27 fold
growth in
the next
9 years

Vision in brief
Innovate the products and services
– Address the global dimension
– Use the potential of the data deluge
– Take position in the information value chain
– Adapt our products to a changing society
CES 2012 Paris
4
conceptual
Business Concepts
GSBPM
Information Concepts
GSIM
Vision in brief
practical
Common Generic
lndustrialised Statistics
Methods
Statistical HowTo

Technology
Production HowTo
Industrialize the processes
– Free up resources, reduce diversity
– Standardize, save money
– Minimize labor, ease the burden
– Collaborate, combine forces
CES 2012 Paris
5
SINCE THEN:
CES 2012 Paris
6
Since Then:

Workshops with expert group leaders
 Nov 2011; we need GSIM
 Nov 2012; list of priorities

New Members proposed to HLG-BAS
 Mexico, Republic of Korea
High Level Seminar St Petersburg
 GSIM Sprints (Slovenia, Korea)

 Version 0.4 created
CES 2012 Paris
7
Provision for
formalisation of
arrangements for data
acquisition and
dissemination
Provision
Agreement
Provider
Methodology applies to
processes in all areas
Process Step
Definition
Methodology
Balanced support for
all data acquisition
channels
Information
Request
Acquisition
Program
Process Method
Dissemination
Program
Process management
for all areas of activity
Statistical
Project
Activity
Separation of Statistical,
Acquisition, and
Dissemination programs,
with central role for
Methodology
Balanced support for
multiple dissemination
channels
Production
Process Step
Design
Statistical
Program
Process Control
Statistical projects
access shared data
Shared Data Resource,
maintained
corporately, for use by
all statistical programs
Mapping of processes
to support managed
operations
Data Resource
Data Set
Process Step
Execution
Statistical
Products
Information
Rule
Conceptual
Variable
Data
Structure
Cube
Structure
Record
Structures
Population
Units
Unit Data
Structure
All structures and
relationships described
in metadata to support
automated processes
Classification
Concept
Value
Domain
Basic infrastructure for
critical base elements
GSIM sprint
GSIM V1.0 will enable
• Common, agreed terminology
– So we can share and reduce the burden…
• Moving away from subject oriented production
– Industrial, not artisanal
• Support for broad-based data capture
– Enable use of surveys, administrative data, the data deluge
• Support for all dissemination channels
• Consistent with existing standards and
approaches
– GSBPM, CORE, ISO 11179, Neuchâtel, DDI, SDMX
GSIM sprint
NOW, JUNE 2012
STRATEGY
CES 2012 Paris
10
Strategy: HOW
Improve processes to free up resources
 Make products and services easier to
produce
 Use the potential of the data deluge
 Prepare for organisational changes as
consequence of these goals

CES 2012 Paris
11
Strategy: Next Steps
Completing the GSIM
 Workshop in November
 On our (long) list:

 Create Plug And Play statistical platform
 New methodologies for Big Data
 List of candidate projects to be key priority
 Inventory of existing projects, create community
 Convergence of standardization initiatives
CES 2012 Paris
13
Strategy: Governance
CES initiated, but is reaching out
 HLG-BAS oversees execution of the
strategy

 Directly in the subordinate groups
 By (written) consent in the other groups

Yearly list of key priorities assigned to
appropriate expert groups
 Annual workshop with all relevant groups
CES 2012 Paris
14
HOW YOU CAN HELP:
CES 2012 Paris
15
Help us with:
Your resources
 Your ideas
 Your support

CES 2012 Paris
16
Discussion; your response

Reactions from:
Azerbaijan, Belarus, Bulgaria, Cyprus,
Estonia, Israel, Latvia, Lithuania, Mexico,
Poland, New Zealand, Serbia, Switzerland,
Turkey, Eurostat,
CES 2012 Paris
17
Discussion; Do you support:
Standards based integration?
 Modular plug and play production?
 Development of new data sources?
 Rejuvenating statistical offerings?
 Need for organizational change?
 This strategy?
 The governance proposed?

CES 2012 Paris
18
Thank You
CES 2012 Paris
19