1. Quality Infrastructure System - Case Study of an E2E Application Graeme Oakley Australian Bureau of Statistics

2.  understand the performance of statistical processing functions  understand the quality of statistical outputs  enable methodologist and subject matter specialists to drill down to understand why performance, or quality, is what it is  manage quality and statistical processes more efficiently  deliver to users (either internal or external) reports on performance and quality that Make Quality Visible. Objectives

3. Holding Table ESG Application BPM Interface Specific Reports CAIWMS Notes agent PutQM Service LoadQM Services StoreQM Service Access and Analysis Tools e.g. Oracle Discoverer Corporate Metadata Repository IDW Dimensions QIS Repository ABS Survey Facilities Business Level Transform Holding Table Service PSG SAS System QIS-CMS Metadata QM Definitions Spreadsheet Utility Program ABS Survey Facilities Base Level Retail Survey PIMS Notes agent Event Clearing House Quality Declarations Making Quality Visible PSO Workload Management External Measures Sign Off and Clearance Reports CMS

5. Issues being addressed by project  microcosm of metadata issues where large number of stakeholders  agreeing on definitions for quality metrics  deployment and timetabling to fit in with 'business as usual'  differences between internal and external client requirements for quality metadata  efficiency of operations, size of repository  allocation of resources to instrument systems  security - potential for access to estimates before official embargo time

6. QUESTIONS