1. Investment Sprint
Canberra, Australia
16 – 20 March 2015

2. We need to modernise We have a burning platform with:
rigid processes and methods;
inflexible ageing technology;
increasing cost of traditional data collection methods;
inability to quickly respond to emerging information needs;
slow to harness new and alternative sources of data (such as sensor, satellite);
difficulty in attracting and retaining skilled staff in the competitive labour market.
In an increasingly digital and data rich environment statistical organizations are struggling to remain relevant.

3. Modernisation blueprint exists
CSPA provides a reference architecture to help each agency modernisation, based on common standards:
GSIM
GSBPM
DDI / SDMX
CSPA allows us to modernise our environment and use existing international solutions.

4. Current state
Each year the HLG has approved a set of services to be produced within CSPA.
These lists have essentially been offers made by individual agencies.
The identified services have been delivered but not widely utilised.
The list of services has not been driven by the priorities of statistical organisations 
Currently, there are a small number of individuals and organisations that are highly influential through existing HLG committee structures.  For organisations outside of these committee structures – it can be difficult to participate.

5. Topics discussed at sprint
What is the right level of international collaboration?
Which capability framework to use to discuss investments? .
What is the agreed position on the expected value added of investing in CSPA?
Compare individual organisation investment strategies, modernisation plans, common priority areas, planned projects.
What are the different scenarios for collaboration? .
Level of modernisation maturity?
How do we collaborate to fill gaps?
How do we encourage statistical organisations to adopt CSPA, barriers?
What sort of funding models and
governance arrangements are needed? 
What is the role of vendors? .

6. Sharing before CSPA
Statistical organizations already participate in many international engagement activities that facilitate sharing.
Spontaneous, relationship driven engagements between statistical organisations, unable to articulate how efficient we have been
The main opportunities that we can focus on:
greater sharing of each statistical organisation's ICT portfolio investment and management plans
finding and exploiting opportunities to align engagements with some vendors
earlier collaboration on innovative and transformative approaches
leverage modern technology development practices and tools to support physically dispersed teams

7. What does CSPA offer to sharing?
It broadens the types of sharing to smaller parts of IT solutions rather than the large grained, complex pieces that have historically been shared
It builds on and enhances sharing of non-ICT dimensions of a capability
Sharing of any dimension of a capability can occur with different degrees of maturity.
With more maturity in sharing comes:
more confidence in the sustainability of things being shared
more clarity in roles of providers and consumers of the thing being shared
greater visibility of the status of things being shared.
Diagram 1 below shows the impact of CSPA on the maturty of sharing across the community of statistical organisations on the different dimensions of capabilities.

8. Building a Statistical Modernisation Community
An active community seeking to leverage Common Statistical Production Architecture (CSPA)
Allow statistical organisations to contribute to achieving the vision of the High Level Group (HLG).
Individual organisations voluntarily identify the nature of their contributions with the support of a global community.
The role of HLG is to provide stewardship and to assist in steering the community to deliver on the shared goal in an efficient manner.
They recognise the right of individual organizations to determine their own contributions based on their own priorities.
HLG are the holders of the vision and they are influential supporters of the work done to help realise this goal.
Vision of an aligned and collaboratively led community.

9. Benefits of the Community Approach
Effective approach to delivering statistical services, by lowering the costs of overall production and minimising duplication by working towards a shared goal.
SO are able to optimise their level of contribution based on their current capability and resourcing constraints.
Working on project of mutual interest strengthens understanding, design, implementation and adoption – ensuring statistical services are more fit for purpose scalable and robust.
The community can broker the exchange of information within the community, linking members who share a common interested.
The community openly shares learnings and implementation issues, and seeks to overcome.
Extract best practices round the world
Create projects teams to solve your/common problems
Robust and tested components can be delivered

10. Supporting the community
Overarching governance – Limited participation governance arrangements are required: process to new organisations entering the community, principles which cover expected behaviours for members and validation of the output of development project.
Community fora to allow project teams to share ideas, requirements and test packages. This should include virtual meeting spaces, wiki, blogs and environments to share investment plans and project collateral.
Administrative and technical support to facilitate the work of the community – including virtual meetings, community activities, assistance on implementing CSPA and compilation of the communities portfolio investment plans. Currently this administrative support is provided by UNECE.

11. Vendors opportunities
NSO community: International statistical organisations, Researchers, 10 billion USD, organisations
Statistical organizations will increasingly adopt only CSPA complaint services
Offer CSPA compliant services –API
Work with NSO for new services
Ongoing modernization and enhancement
Increased market

12. Need to expose investment plans where we are willing to collaborate
Tailored level of contribution allows every country to participate

13. Using capability based investment planning
Business capabilities
Language to describe needs for programme driven investments.  
“An ability that an organisation, person or system possesses".
Organisation, people, processes, methodology, standards and technology to achieve.
Characterised as unique and independent entities covering stable business functions in the light of business strategy, which have been abstracted from the organisational model.
The CSPA investment planning makes use of a standard Capability Reference Model developed by the European Statisitical System as the basis for describing planned investments.

14. A portfolio management tool
A tool to capture\update the current state of statistical organisations’ portfolios and highlight the areas where investments are planned.
The tool assists statistical organisations to align their portfolio to the CSPA capability reference model.
The process of synthesizing SO investment plans uses the CSPA portfolio management tool to create an overall picture of the CSPA community’s ICT portfolio. This unified view provides the CSPA community with:
A view of investment coverage and gaps
Areas of likely duplication or overlap
Areas of vendor engagements
A consolidation of the types of investments to be undertaken (Innovation, Transformation, Harvesting)

15. How the type of investment changes sharing
The CSPA Community will focus on the investment plans of participating statistical organizations to improve sharing and alignment.
These plans will, amongst other things, classify capability investments based on how well defined the capability is.
Different investment types will also influence the nature of sharing in the following ways.

16. Committing to action Manifest
Formalisation of our commitment
Defines expected behaviour
Helps you drive change through the organisation
Maximises global participation in the community
Provides access to the strongest capabilities from the community
It makes sense for every organisation.

17. organisation sign up to this?
As active participants within the Statistical Modernisation Community, committed to the success of that community, the organizations listed below: 1. Commit to: a. Adopting community behaviours by: i. Being willing to make compromises to take advantage of, and improve, existing services (where it is sensible to do so) ii. Actively contributing to collaboration iii. Behaving as a trusted partner iv. Sharing intellectual property and code with the community where possible. b. Adopting an industry standard architecture in accordance with the CSPA, including the Generic Statistical Information Model (GSIM) and the Generic Statistical Business Process Model (GSBPM). c. Sharing information about investment plans and application portfolios, looking for opportunities to collaborate. d. Identifying existing strong capabilities within each member organization, and seeking to make them available as CSPA compliant services with appropriate documentation. e. Producing (or commissioning from third parties) new and enhanced CSPA compliant statistical services in a manner that enables sharing within the community f. Prioritizing mechanisms that support and encourage community participation when sourcing statistical capabilities 2. Affirm that the community will respect the individual sovereignty and requirements of member organizations and groups
Would your
organisation sign up to this?

18. List of candidate service – ESS CM
Statistical Data Collection / Metadata collection and management
Coding / using machine learning
Statistical Data Collection / Primary data collection
Refactoring BLAISE
Interviewer workload management
Statistical Data Collection / Collection of administrative and other data sources
Web scraping
Statistical Processing / Statistical data preparation
Edit and checking - BANFF
Imputation – CANCEIS
Validation rules specification
Probabilistic record linking
Admin data classification (e.g. for scanner data)
Statistical Processing / Calculation and finalisation of output
FAME wrapped capabilities
Statistical Dissemination / Flexible data access provisioning
Microdata access (confidentiality on the fly)
Statistical Analysis / Statistical output analysis & Statistical Dissemination / Flexible data access provisioning
Geospatial visualisation
Is there anything that should be removed from the list?
Are these of interest to your organisation?

20. Sprint Outputs Brochures Papers
Benefits of CSPA and why you should invest
Manifest
Developing CSPA through a community approach
How statistical organisations can transition to CSPA
Guide to investment planning and alignment
Presentations aimed at senior executives, methodologist, technologists and vendors
CSPA: Taking sharing to the next level
Updated value statement in CSPA document
Tools
2015 Candidate list
Portfolio Management Tool

21. Next steps
Discussion at the Workshop on the Modernisation of Statistical Production to identify:
statistical organisation who will design and build,
collaboration partners and
implementing statistical organisations.
Assess individual organisation investment strategies, modernisation plans, common priority areas, planned projects
Use common portfolio management tool
Use ESS capability framework
Evaluate the SO SOA readiness, use OSIMM model
Evaluate the candidate list