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![Page 1: Transforming how we produce statistics – an inside perspective Michelle Feyen Statistics New Zealand October 2014.](https://reader030.fdocuments.us/reader030/viewer/2022032414/56649ee75503460f94bf8608/html5/thumbnails/1.jpg)
Transforming how we produce statistics – an inside perspective
Michelle Feyen
Statistics New Zealand
October 2014
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Outline
Statistics 2020
Micro-Economic Platform
Standardising
Automation
Culture
Collaborative team
Benefits
Challenges
Ongoing work
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Statistics 2020 – Te Kāpehu Whetū
Organisation-wide business transformation programme
Increase our relevance to government and public
Reduce the cost of producing statistical outputs
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Micro-Economic Platform
Progamme of work• IT system • 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
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Timeline
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2009-IR10 Tax
2010-GST Tax
2011-Overseas Trade
2012-Manufacturing-Wholesale
2013-Agriculture-Annual Enterprise
2014-Business Register-Update Surveys-Buildings-Retail Trade
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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
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Configuration
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Automation
Increased efficiency
Understand structure and relationships of data
Analysts can focus on more complex issues
Consistent, repeatable processes
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Example – Annual Enterprise Survey
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Culture
Transforming the way we work
New system is a powerful driver for change
Environment that allows for innovation
Culture change initiative
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Collaborative team
Key to successful migrations
Platform team• Configuration experts• Methodologists• Business analysts• Developers• Testers• Subject matter experts
Co-location
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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
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Challenges
Standardising very different collections
Matching old system results with new system
Fully understanding current business processes
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Challenges
Constructively engaging with survey teams
Achieving expected efficiencies
Changing the way analysts view the data
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Timeline – ongoing work
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2011-Overseas Trade
2012-Manufacturing-Wholesale
2013-Agriculture-Annual Enterprise
2014-Business Register-Update Surveys-Buildings-Retail Trade
2015-Accommodation-Statistical Architecture for Economic Statistics