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Transforming how we produce statistics – an inside perspective

Transforming how we produce statistics – an inside perspective. Michelle Feyen Statistics New Zealand. October 2014. Outline. Statistics 2020 Micro-Economic Platform Standardising Automation Culture Collaborative team Benefits Challenges Ongoing work.

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Transforming how we produce statistics – an inside perspective

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  1. Transforming how we produce statistics – an inside perspective Michelle Feyen Statistics New Zealand October 2014

  2. Outline • Statistics 2020 • Micro-Economic Platform • Standardising • Automation • Culture • Collaborative team • Benefits • Challenges • Ongoing work

  3. Statistics 2020 – TeKāpehuWhetū • Organisation-wide business transformation programme • Increase our relevance to government and public • Reduce the cost of producing statistical outputs

  4. Micro-Economic Platform • Progamme of work • IT system - BESt • Migration of surveys to platform • Support of surveys already on platform • Development of platform • Store and process data on the same system • Integrated data warehouse • Standard statistical analysis tools • Reports

  5. Timeline 2009 -IR10 Tax 2010 -GST Tax 2011 -Overseas Trade 2014 -Business Register -Update Surveys -Buildings -Retail Trade 2013 -Agriculture -Annual Enterprise 2012 -Manufacturing -Wholesale

  6. Standardising • Set of standard tools • BANFF – Statistics Canada • Quality Stage • Generic Edit and Imputation Workflow • Standard set of steps to follow • Configuration visible to analysts

  7. Configuration

  8. Automation • Increased efficiency • Understand structure and relationships of data • Analysts can focus on more complex issues • Consistent, repeatable processes

  9. Example – Annual Enterprise Survey

  10. Culture • Transforming the way we work • New system is a powerful driver for change • Environment that allows for innovation • Culture change initiative

  11. Collaborative team • Key to successful migrations • Platform team • Configuration experts • Methodologists • Business analysts • Developers • Testers • Subject matter experts • Co-location

  12. Benefits • More automation • Analysts doing less processing • Only one system to learn • Standard set of tools • Shared functionality between collections • Efficiency gains • Easy to build new configurations, transparent

  13. Challenges • Standardising very different collections • Matching old system results with new system • Fully understanding current business processes

  14. Challenges • Constructively engaging with survey teams • Achieving expected efficiencies • Changing the way analysts view the data

  15. Timeline – ongoing work 2011 -Overseas Trade 2014 -Business Register -Update Surveys -Buildings -Retail Trade 2015 -Accommodation -Statistical Architecture for Economic Statistics 2013 -Agriculture -Annual Enterprise 2012 -Manufacturing -Wholesale

  16. Thank you • IAOS • IOS Press Michelle.Feyen@stats.govt.nz

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