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United Nations Economic Commission for Europe Statistical Division CSPA: The Future of Statistical Production Steven Vale UNECE steven.vale@unece.org
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CSPA GSBPM GAMSO
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What is the CSPA? A template architecture for official statistics A set of standard specifications for new statistical components (services) that can be used in a modular way A new way of developing statistical tools, with sharability as a design feature, not an afterthought
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Problem statement: Specialised business processes, methods and IT systems for each survey / output
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Applying Enterprise Architecture Disseminate
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... but if each statistical organisation works by themselves...
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... we get this...
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.. which makes it hard to share and reuse!
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… but if statistical organisations work together to define a common statistical production architecture...
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... sharing is easier!
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CSPA development ArchitectureProof of Concept
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The first proof of concept 5 countries built CSPA services 3 countries implemented them
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Proof of concept outcomes The CSPA approach works It promises increased: sharing interoperability collaboration opportunities
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United Kingdom 5 Build teams 42 individuals 2 Sprints 3 Assemble teams 1 Working Group FAO
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Implementing the CSPA
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Services built in 2014 1. Seasonal adjustment – France, Australia, New Zealand 2. Confidentiality on the fly – Canada, Australia 3. SVG generator – OECD 4. SDMX transform – OECD 5. Sample selection – Netherlands 6. Linear error localisation – Netherlands 7. Linear rule checking – Netherlands 8. Error correction – Italy
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New Services in 2015 Classification retrieval service Probabilistic record linkage service Testing Confidentialised analysis of microdata service Web dissemination service
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Candidate services for 2016 Service nameDesigner / Builder Structured Validation ServiceEurostat Transformation ServiceEurostat Content ValidationEurostat Time SeriesESSnet Questionnaire GenerationESSnet Metadata DisseminationESSnet
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50 task team members 7 task teams CSPA 2015 project
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Some features of CSPA v1.5
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Technology Architecture Business Architecture Information Architecture Application Architecture Levels of architecture
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"covers all the activities undertaken by a statistical organization, including those undertaken to conceptualize, design, build and maintain information and application assets used in the production of statistical outputs. Business Architecture drives the Information, Application and Technology architectures for a statistical organization." Business architecture = What an organisation does
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“classifies the information and knowledge assets gathered, produced and used within the Business Architecture. It also describes the information standards and frameworks that underpin the statistical information. IA facilitates discoverability and accessibility, leading to greater reuse and sharing.” Information architecture = How we manage our information
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“Application architecture is a description of the major logical grouping of capabilities that manage the data objects necessary to process the data and support the business - it details the structure of components, their inter-relationships, and the principles and guidelines governing their design and evolution over time.” Application architecture = How we do things
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"describes the IT infrastructure required to support the deployment of business services, data services and applications services, including hardware, middleware, networks, platforms, etc." Technology architecture = The technology we need
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Precision vs cost
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Roles in CSPA
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CSPA Governance Owner = HLG-MOS Maintenance agency = CSPA Implementation Group (representatives of national / international statistical organisations) Governance processes for: CSPA itself – updates and supporting material Candidate services – quality and fit for purpose
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Templates Standard templates agreed for: Service Definition – conceptual level overview of what the service is and what it does – understandable by users Service Specification – logical level description of service capabilities, inputs and outputs Service Implementation Description – physical level description of how to implement the service
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Knowledge Base Investment Catalogue Capability Catalogue CSPA Service Catalogue Built in 2015 Focus on future sharing opportunities Built in 2015 Focus on existing sharing opportunities Technical Repository Built in 2013-15 On UNECE wiki platform Several options e.g. GitHub
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Investment Catalogue We need to share investment plans where we are willing to collaborate
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Strategic Investment Planning Sharing plans between organisations Finding partners with similar priorities Trialing an Investment Comparison Tool Investment Catalogue
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“The survey will be repeated on a larger scale in 2016 to identify emerging priorities and common areas of interest” – CES 2016 Report
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Investment Catalogue What we are investing in? – Results from 2015
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CSPA Service Catalogue Hosted by Wiki-based for now New version with easier access and better structure in preparation https://webgate.ec.europa.eu/fpfis/mwikis/cs pacatalogue/index.php/Main_Pagehttps://webgate.ec.europa.eu/fpfis/mwikis/cs pacatalogue/index.php/Main_Page
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A gradual transition to CSPA Phase 0: Before transition
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Phase 1: Establish new components in local environment Interface Platform for Service Communication Establishing an integration layer Construct NEW systems using the new architecture
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Phase 2: Re-engineer old systems Interface Platform for Service Communication Connect old systems to the integration layer
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Phase 3: Progressively replace old systems Interface Platform for Service Communication Replace old systems with new services as reengineering occurs Connect more old systems to the integration layer Old system, and connections are removed or reworked
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Alternative: Use CSPA services without changing architecture CSPA Service
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Are we ready for CSPA? Are our organisations sufficiently mature? Maturity has several dimensions (Just like capabilities!) How can we measure maturity? The answer: We are working on a Modernisation Maturity Model
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MMM for CSPA Draft prepared Standard levels and dimensions Currently being tested Final version – end of year
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CSPA: Just for Services? Can we apply CSPA principles to other capability dimensions? Methods – e.g. Algorithmia People – e.g. generic skills profiles ….. To be confirmed!
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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
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the Future of Statistical Production CSPA
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