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A Collaborative Approach to Agile statistical Processing Architecture

Explore lessons, challenges, and solutions in adopting agile statistical processing architecture through collaboration. Learn from experience, revision of architecture, and aspirations in information management transformation. Gain insights into the evolution of technology trends and the importance of collaboration in statistical information systems management.

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A Collaborative Approach to Agile statistical Processing Architecture

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  1. A Collaborative Approach to Agile statistical Processing Architecture ABS Experience and Aspirations Meeting on the Management of Statistical Information Systems (MSIS 2010) 26-29 April 2010 Daejeon, Republic of Korea Brian Studman IT Director, information Management Transformation Program

  2. Topics • Learning from Experience - the threads of process, metadata, architecture and collaboration • ABS revised Architecture and Collaboration • Aspiration - The Information Management Transformation Program

  3. < 1980s – mainframe, subset of metadata used consistently, 'generalised' software lessons • 1980-89 – PCs & client-server innovation chaos • 1990-99 - standard process & process control, output warehouse (specialising output & dissemination processing), Web site constant innovation, KM environment • 2000-2009 – data capture specialisation (BSIP), ISHS2, external view through NSS & collaboration

  4. Lack of low-level content 'Posters' become dated too easily Business ownership of architecture flagged Architecture governance did not influence early enough in project Translation from architecture into high-level design didn't consistently occur Architecture Lessons

  5. Multi-language issue – plan/design Senior executive 'champions' Incremental delivery – agile process 'Lead' organisation for projects Mutual respect & attention to detail Out-posting staff Collaboration Lessons • Mutual value proposition • 1+ solution is fine • Common standards and architecture • Genuine commitment • IP, licencing, on-going support, technology & project issues – plan to manage and manage

  6. Heavy emphasis on metadata standards, 'active' metadata Paradata separated as a business value element Aligning with other international work e.g. SAB & CORA Focussing on NSI operations Merging: Process, metadata, architecture & collaboration IMTP • About business agility for complex information solutions • Usual business drivers: efficiency • Enabled by whole-of-GSBPM metadata management (DDI+SDMX) • Plus BPMS+SOA+... • Practically further international collaboration

  7. From Process to Workflow

  8. Pragmatic (ABS internal) IMTP

  9. A Collaborative Approach to Agile statistical Processing Architecture ABS Experience and Aspirations THANK YOU Brian Studman IT Director, information Management Transformation Program

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