the future of Statistical Production CSPA
This webinar on CSPA (common statistical production architecture) is part of a series of lectures on the main projects undertaken by the High Level Group for the Modernization of Official Statistics (HLG- MOS)
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.
NSI 1 Collect Process AnalyseDisseminate Survey A Survey B Historically statistical organisations have produced specialised business processes and IT systems The problem we are trying to solve
How does Architecture help? Many statistical organisations are modernising and transforming using Enterprise Architecture Enterprise Architecture shows what the business needs are and where the organisation wants to be, then aligns efforts accordingly It can help to remove silos and improve collaboration across an organisation
NSI 1 Collect Process Analyse Survey A Survey B Survey C Enterprise Architecture helps you get to this Disseminate
…but if each statistical organisation works by themselves…..
Canada Collect Process Analyse Disseminat e Sweden …we get this….
Canada Collect Process Analyse Disseminat e Sweden ? ? This makes it hard to share and reuse!
…but if statistical organisations work together?
Collect Process AnalyseDisseminate ? ? Sweden Canada This makes it easier to share and reuse!
What is CSPA? CSPA provides a template architecture for official statistics, describing: − What the official statistical industry wants to achieve − How the industry can achieve this, i.e. principles that guide how statistics are produced − What the industry will have to do, compliance with the CSPA
Modernisation blueprint exists CSPA provides a reference architecture to help each agency modernisation, based on common standards: GSBPM GSIM DDI / SDMX CSPA allows us to modernise our environment and use existing international solutions.
Technology Architecture Business Architecture Information Architecture Application Architecture
Business Architecture- GSBPM
Information Architecture
Application Architecture Statistical Service: Standardised input and output Meet generic nonfunctional requirements Can be easily used and reused in a number of different processes
A Statistical Service GSIM object instances GSIM object structures (formats) GSIM object structures (formats) GSBPM -process
Statistical Services built in 2014 Seasonal Adjustment – France, Australia, New Zealand Confidentiality on the fly – Canada, Australia Error correction – Italy SVG Generator – OECD SDMX transform – OECD Selecting sample from business register – Netherlands Editing components – Netherlands 20
The CSPA Catalogue
Statistical organisations already participate in many international engagement activities that facilitate sharing. All statistical organisations need to modernise and standardise their systems and processes. The marginal cost of doing this in a way that supports collaboration and complies with CSPA is relatively low, but the potential savings enabled by such a standard approach are high. Sharing in the Community
Extending our existing sharing practices to the next level. Heads of Organizations agree in principle to sharing and collaborating in the community. Organizations contribute as much as they can, in what form they can (capability, funding, etc.) Sharing in the Community
Five Quick Facts 1)CSPA will provide services built by the statistical industry using architectural standards. 2)CSPA gives the statistical community a framework for collaborating and sharing effectively. 3)A full set of tools, templates and guidelines are available to help your organization implement CSPA 4)CSPA provides support for the whole span of the statistical production process. 5)CSPA has a vibrant international community actively supporting and implementing the framework.
CSPA Wiki How do I find out more?