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Statistics 2020 and Platform Approach Te Käpehu Whetü May 2011.

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Presentation on theme: "Statistics 2020 and Platform Approach Te Käpehu Whetü May 2011."— Presentation transcript:

1 Statistics 2020 and Platform Approach Te Käpehu Whetü May 2011

2 Agenda Current Legacy Architecture Statistics NZ Strategic Plan 2010-20 Te Käpehu Whetü - Statistics 2020 IT Strategy 2009–12 Platform-based Architecture Reuse, Integration and Transition Current State of Play Strategic Benefits February 20112End to End Architecture Framework

3 3 Current Stovepiped Architecture

4 Statistics NZ Strategic Plan 2010-20 4

5 Te Käpehu Whetü – Statistics 2020 A waka is navigated by aligning the points of the craft with the points on the horizon where the sun and particular stars rise and set Whetu (the stars) Kapehu (compass)

6 Generic Business Process Model Describes Statistics NZ's end-to-end statistical business process It has been used as a model for international GSBPM Processes are generic, across Statistics NZ, down to the sub-process level for all statistical collections and outputs 6 Need Develop & Design Build Collect Process Analyse Disseminate

7 Need Develop & Design Build Corporate Statistical Architecture Framework 7 Collect Process Analyse Disseminate Collection Dissemination Standards & Methods Infrastructure Micro Economic Macro Economic Social and Population CENSUS

8 IT Infrastructure Platforms Tools & Services Data Enterprise Architecture Framework 8 Need Develop & Design Build Collect Process Analyse Disseminate Supports

9 9 Enterprise Architecture Framework

10 Platforms & Services Reuse 10 Platforms Foundation Services Tools & Services Platform A Platform B Combination of tools & services to perform business processes Specialised – perform individual tasks Performs task specific to collection Reusable within platform

11 Platforms & Services Reuse 11 Platforms Foundation Services Tools & Services Platform A Platform B Combination of tools & services to perform business processes Specialised – perform individual tasks Performs task specific to collection Reusable within platform Cloud Services

12 12 Transition Phases – Current Stats.govt.nz POSS, BESt, DNA Dissemination systems 25+ Dissemination systems 25+ Processing systems 80+ Processing systems 80+ Collection systems 50 + Collection systems 50 + Analysis/output systems 50 + Analysis/output systems 50 + Disseminate Process Collect Analyse (Produce Statistics) Analyse (Produce Statistics) Platforms Legacy Systems Statistical Infrastructure systems – 50+

13 13 Transition Phases – Transition Stats.govt.nz Dissemination Platform Stats.govt.nz Dissemination Platform POSS, BEST & DNA HLFS Sub Annual Surveys Disseminate Process Collect Analyse (Produce Statistics) Analyse (Produce Statistics) Platforms Legacy Systems Statistical Infrastructure systems (foundation tools & services)

14 14 Transition Phases – Future Stats.govt.nz Dissemination Platform Stats.govt.nz Dissemination Platform Micro Economic Platform Macro Economic Platform Household & Population Platform Micro Economic Platform Macro Economic Platform Household & Population Platform Collection Platform Disseminate Process Collect Analyse (Produce Statistics) Analyse (Produce Statistics) Platforms Legacy Systems Statistical Infrastructure systems (foundation tools & services)

15 Household Survey Platform 15 Household Survey Platform - Survey Portal Data Management Metadata Management Process Management Classify & Code Micro Edit Derive Finalise Impute Calculate & Apply Weights Quality Assurance Classify & Code 5.1 Classify & Code 5.1 Perform Micro Editing 5.2 Perform Micro Editing 5.2 Impute Missing Data 5.3 Impute Missing Data 5.3 Derive New Variables 5.4 Derive New Variables 5.4 Calculate & Apply Weights 5.5 Calculate & Apply Weights 5.5 Integrate Data 5.6 Integrate Data 5.6 Finalise Unit Record Data 5.7 Finalise Unit Record Data 5.7 Acquire Domain Intelligence 6.1 Acquire Domain Intelligence 6.1 Produce Statistics 6.2 Produce Statistics 6.2 Check Quality of Statistics 6.3 Check Quality of Statistics 6.3 Interpret & Explain Statistics 6.4 Interpret & Explain Statistics 6.4 Prepare Statistics for Dissemination 6.5 Prepare Statistics for Dissemination 6.5 Finalise Content 6.6 Finalise Content 6.6 5 Process 6 Analyse Supports Aggregate Seasonally Adjust Confidentialise Advertise Define Dataset

16 Household Survey Platform 16 Household Survey Platform - Survey Portal Statistical Tools & Services Non Statistical Tools & Services Data IT Infrastructure Data Management Metadata Management Classifications Configuration Process Logging Questionnaire Performance Household Frame Household Survey Process Management Classify & Code Micro Edit Derive Finalise Impute Calculate & Apply Weights Quality Assurance Coding CANCEIS (Imputation) GregWt (Estimation) Jackknife (Estimation) Configuration Management Configuration Management Collection Data Pickup Questionnaire Perform’ Analysis SQL Server (RDBMS) SQL Server Integration Services SQL Server Analysis Services SQL Server Reporting Services SAS.Net Framework Internet Explorer Excel Aggregation Confidentiality Time Series Processing Time Series Tools Advertise Time Series Aggregate Seasonally Adjust Confidentialise X12 (Seasonally Adjust) X12 (Seasonally Adjust) Classification Services Define Dataset

17 Micro Economic Platform 17 Micro Economic Platform – BESt UI Data Management Metadata Management Process Management Micro Edit Derive Impute Quality Assurance Classify & Code 5.1 Classify & Code 5.1 Perform Micro Editing 5.2 Perform Micro Editing 5.2 Impute Missing Data 5.3 Impute Missing Data 5.3 Derive New Variables 5.4 Derive New Variables 5.4 Calculate & Apply Weights 5.5 Calculate & Apply Weights 5.5 Integrate Data 5.6 Integrate Data 5.6 Finalise Unit Record Data 5.7 Finalise Unit Record Data 5.7 Acquire Domain Intelligence 6.1 Acquire Domain Intelligence 6.1 Produce Statistics 6.2 Produce Statistics 6.2 Check Quality of Statistics 6.3 Check Quality of Statistics 6.3 Interpret & Explain Statistics 6.4 Interpret & Explain Statistics 6.4 Prepare Statistics for Dissemination 6.5 Prepare Statistics for Dissemination 6.5 Finalise Content 6.6 Finalise Content 6.6 5 Process 6 Analyse Supports Aggregate Seasonally Adjust Confidentialise Publish Define Dataset

18 Micro Economic Platform 18 Micro Economic Platform – BESt UI Statistical Tools & Services Non Statistical Tools & Services Data IT Infrastructure Data Management Metadata Management Classifications Configuration Process Logging Business Frame Micro Economic Process Management Micro Edit Derive Impute Quality Assurance BANFF (Imputation) SELEKT (Editing) Configuration Management Configuration Management Collection Data Pickup SQL Server (RDBMS) SQL Server Integration Services SQL Server Analysis Services SAS.Net Framework Aggregation Confidentiality Time Series Processing Time Series Tools X12 (Seasonally Adjust) X12 (Seasonally Adjust) Classification Services Info Access – Dataset Def’n Svcs Info Access – Dataset Creation Define Dataset Advertise

19 Strategic Benefits 5 Key Benefits Continued supply of important and trusted statistics (B1) An agile and responsive NSO able to respond to changing needs (B2) Costs to government, businesses, and households minimised (B3) Increased use of government data (B4) Government has confidence that its investment in official statistics is value-for- money (B5)


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