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CENTRAL STATISTICS OFFICE IRELAND ITSIP PROJECT OVERVIEW
IT Director’s Meeting – Luxembourg 21 October 2004
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BEGINNINGS Processing mainly on VAX mainframe 1999 IT Strategy
Out of date Legal requirement to Open Systems 1999 IT Strategy ‘Islands of data’ inefficient Too many applications Data Management Strategy Further analysis Corporate Data Model Fewer and better applications ITSIP Information Technology Strategic Implementation Programme
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DMS Logical Model System Comprises Four Databases
Two micro-data databases Input (Data Capture, Validation, Edit, Imputation) Clean Unit Data Repository Two macro-data databases Aggregation Dissemination (Publication) Metadata associated with these databases Incorporates Register and Survey Management Metadata driven
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CORPORATE DATA MODEL - Data Flow
Respondent Management Data Capture Seasonal Adjustment Imputation Aggregation Dissemination Corporate Data Model based on Swedish Model Input Clean Unit Aggregate Disseminate
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ITSIP PROJECT STAGES Stage A (Oct 2002 to Apr 2003)
Requirements specification and high-level architectural design Stage B (Nov 2003 to Apr 2006) Detailed design, build and implementation Go Live 2 May 2006
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STAGE A OUTCOMES High-Level Design of Architecture
Functional Design of Applications Associated Conceptual Database Models and Designs Migration Plan Report on WWW Potential
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DATA MANAGEMENT SYSTEM (DMS)
CARS is our classification system sourced from SNZ Sprocet is a survey processing system BoPFacts is our balance of payments processing system
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These are the applications involved inb the DMS
Register Management Data Capture Select Register Form Set-Up Data Entry Search Register Duplicate Search Select Form/ Period Create Survey Instance Select Coding Type Unit Details Edit Summary Unit Details Duplicate View Form Summary File Definition CorrectionComment Associated Surveys Coding Data Entry/ Correct Data Edit Report Correction History Imputation Variable Group Set-Up VariableGroup Summary Edit Rule Summary Sample Selection Batch Summary View Form Data Detailed Report Select Survey /Period Select Survey Variable Details Validation Set-Up Variable Edit Rule Set-Up CARS Set up Imputation Cells Set Up Imputation Rules Run Imputation Sample Selection Criteria Include in Sample Exclude from Sample Derived Variables CARS LVCF Set-up Strata Cells Sample Proportions Aggregation Set Up Imputation Cell Merge Settings Time Series View Imputation Results Unit Details Enter Survey/ Period Nearest Neighbour Selected Sample (Conditional Census or Random) Direct Imputation Exclude Records Stratum Average Set Up Aggregation SnapShot of Input Database Run Aggregation View Rule Summary Survey Management Select Survey/ Period CARS Set Up Group Define Aggregate Set Up Aggregate Table View Aggregate Results SetUp PostOut Items Receipting Response Tracking Follow Up Detail Basic Aggregate Seasonal Adjustment Complex Aggregate Set Up Weights Set Up Macro Edits Confidentiality Rules for Aggregate Aggregation Results Seasonal Adjustment Define Relative Postout Detailed Report View Non- Respondents Comments Define Mean Drill Down Rescale Index View Graph Set-Up Seasonal Adjustment Run Seasonal Adjustment Recipient List Update New Index Weights These are the applications involved inb the DMS There is also a security application, not in the diagram To save time I will skip over most of these.Ythe completely new application is the Respondent Management System, which will give us an overview of respondents overall surveys, and should assist in helping to reduce the burden on respondents –this is a strategic corporate goal. Data View Results Respondent Management Dissemination Summary Select Respondent View Graph Create Disseminate Tables Footnotes Populate Disseminate Database Timeliness Monitor Extract Disseminate Data CARS Compliance History Survey Instance List Disseminate Table Footnote Links Footnote Copy Aggregate Data Timeliness Overview Select Facts Details Report View Form Data Data Column Meta Data Timeliness Table Select Classifications
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Respondent Management
Select Respondent Compliance History Survey Instance List Details Report View Form Data Provides cross-survey view of form data submitted to the CSO Provides cross-survey view of compliance history of a unit
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STAGE B REQUIREMENTS Detailed design
Specify and install infrastructure Gather data & process migration information required Build applications (and overall DMS) User Training UAT Migrate business areas’ data & processes Implement DMS First Year Maintenance
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Project Organisation Contractor: Cognizant Technology Solutions
On-shore off-shore model On-shore Fifteen CSO personnel Six CTS personnel Off-shore Twenty – Thirty developers in Chenai, India
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Project Management Project Managers
CSO on shore CTS on shore CTS offshore Shared Lotus Notes Database, replicated between Cork and Chennai Weekly teleconference beween Cork & Chennai
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Integration & System Testing
OUTLINE PLAN Start-up System Requirements Analysis Increment 1 Increment 2 Increment 3 Integration & System Testing Delivery Acceptance Testing Implementation 12 24 36 Project Month
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DEVELOPMENT/TEST ENVIRONMENT
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MAIN SOFTWARE TOOLS Microsoft Windows A/S Server - OS
Microsoft Visual Studio Desktop - Development Sybase ASE Server - Database Sybase IQ Server - Database BEA Systems Weblogic 7.1 Clustered Server - Application Server Informatica Power Center 6.2 Server Server - Data Migration Informatica Power Center 6.2 Client Desktop - Data Migration JAVA Swing Application (Sun Java Studio)/J2EE
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