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Value of Systems Architecture for Statistical Organizations

Value of Systems Architecture for Statistical Organizations. Meeting on the Management of Statistical Information Systems (MSIS 2012). Washington, D.C., U.S.A. 21-23 May 2012. Agenda. Some concepts of systems architectures Industrialization of statistics and software architecture

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Value of Systems Architecture for Statistical Organizations

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  1. Value of Systems Architecture for Statistical Organizations Meeting on the Management of Statistical Information Systems (MSIS 2012) Washington, D.C., U.S.A. 21-23 May 2012

  2. Agenda • Some concepts of systems architectures • Industrialization of statistics and software architecture • Study cases • Conclusions

  3. SOME conceptsOF Systemsarchitectures

  4. SystemsArchitectures • Systems architecture allows to describe a complex system at a high level of abstraction. • It’s a planning and coordination instrument in which we can document knowledge, experiences and best practices.

  5. Aspects of SystemsArchitecture

  6. Architecture Design is a Collaborative Work

  7. Impact of anArchitecture • All systems have an architecture • We can go from very narrow solutions to inter-organizational environments

  8. Industrialization of statistics AND SOFTWARE ARCHITECTURES

  9. HLG-BAS Vision Directions • Continuous Improvement of Statistical outputs with new and better products and services to stay relevant: • Tuned to the way the world is operating today • Created from a global perspective • Creation of new and better production processes and methods to improve efficiency and effectiveness: • Tuned to delivering our products at minimal cost • With greater flexibility and in cooperation between institutions

  10. Industrialization of Statistics Industrialization of statistics aims to lower cost of delivering products to satisfy users’ needs by mean of the standardization of processes and products

  11. Software Product Lines • A software product line consists of a product-line architecture and a set of reusable components. • Is based in reusable architectural designs and in component-based software. • To get necessary variation of those components, we design them in such way that they can be configured, specialized or easily replaced by providing standardized interfaces. • We can develop systems that are explicitly created to be reused in different statistical projects and which can be shared among organizations

  12. Design Process of Software Product Lines

  13. Study CASES

  14. SIMBAD

  15. BISE BISE isunderconstruction, butyou can visitthe Bank of EconomicalInformation (BIE)

  16. SDMX Infraestructure

  17. SOA Planned Architecture for Mexican National Information Network

  18. CONCLUSIONS

  19. Conclusions • Software architectures are of critical importance to incorporate functionalities and quality characteristics into a system • Product lines design could be a valid approach to create adaptable and reusable systems at a lower cost in the context of statistics industrialization • Software architectures help to set the basis for cooperative development among organizations • New initiatives and requirements, like open data or development for mobile devices requires of systems with robust architectures

  20. ¿Questions? Juan.Munoz@inegi.org.mx

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