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Statistical Network Industrialization: Modernizing Statistical Information Production

Explore the industrialization of editing statistics to meet challenges such as budget constraints, increasing user demand, and evolving information technologies. Modernize processes and overcome obstacles for efficient production with high quality outputs.

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Statistical Network Industrialization: Modernizing Statistical Information Production

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  1. (Statistical Network)Opportunity: Industrialization of Editing Li-Chun Zhang Statistics Norway e-mail: li.chun.zhang@ssb.no

  2. Coping with multiple challenges(ABS initiative, Paris 2010: ABS, ONS, SCB, SNZ, SSB, StatCan) • Budget constraints • Increasing user demand • Scope and content of statistical outputs • Quality awareness • Changing information society • Information-related technologies • Data/metadata infrastructure

  3. Modernization & obstacles • Production efficiency • Quality vs. Cost • Flexibility for reconfiguration/regeneration • Modernization programs: From stovepipe solutions to corporate-wise standardized general systems • Obstacles • Continuous production vs. development/migration • Lack of internationally recognized standard/framework • Generic statistical business process model (GSBPM) • Generic statistical information model (GSIM) to-be

  4. Industrialization: A vision statement • Each NSI is a factory of statistical information • Products: excellence in quality • Production means: capable as well as flexible • Production process: efficient given resource-at-disposal • Together, an industry of social-economic statistical information with its own industrial standards • Foundation for cost-efficient development and exchange of production means; potential market of commercial interest • Consolidation of our statistical outputs in information society, making them readily accessible, interpretable & comparable

  5. Standardization of 4 business domains:Away with all unnecessary variations! • Production Process: GSBPM • Metadata & Information Management: GSIM • Methodology: • Standardization ≠ Single solution • Recommended/base-line solution = point of departure • Deviation if justified = impetus for auditing • Over time, standardization generates a method library • IT-Tools and Platforms: • General statistical systems • Architectural design • Engineering principles

  6. Network approach: Experiences & reshaping • Opportunity = Umbrella / field of activity • Projects and tasks • Interest/need & resource • University party: agility & low-level of project management • Sprints => tangible output over concentrated time period Some initial proposals of short-term tasks/projects

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