1 Why a SIS, B. Loison/dp, Eidgenössisches Departement des Innern EDI Bundesamt für Statistik BFS Why a Integrated Statistical Information System (SIS) Dr. Bertrand Loison Swiss Federal Statistical Office

2 Why a SIS, B. Loison/dp, Eidgenössisches Departement des Innern EDI Bundesamt für Statistik BFS Statistical Information System SIS  Enables the elaboration and production of Integrated Statistics  Meets the requirements of data protection (privacy)  Provides full retraceability (auditing) of all statistical data ever produced  Fully supports the production value chain of SFSO Objectives of SIS

3 Why a SIS, B. Loison/dp, Eidgenössisches Departement des Innern EDI Bundesamt für Statistik BFS Computer/DB Infrastructure + SAS Ref. Install First applications operational Start productive data collection for enterprises + census Migration of existing app‘s to SIS The overall SIS schedule End of '11

4 Why a SIS, B. Loison/dp, Eidgenössisches Departement des Innern EDI Bundesamt für Statistik BFS The overall SIS structure SIS System SIS Core Register Local DB Register Channel Apps Access layer Statistical Warehouse Databases Working Area

5 Why a SIS, B. Loison/dp, Eidgenössisches Departement des Innern EDI Bundesamt für Statistik BFS Where to do what SIS System SIS Core Register Local DB Register Channel Apps Access layer Statistical Warehouse Databases Working Area The production process is performed here All persistent data – statistical and meta – are stored here Logistics and monitoring of data collection Product diffusion Data flow Internet

6 Why a SIS, B. Loison/dp, Eidgenössisches Departement des Innern EDI Bundesamt für Statistik BFS The technologies used 21. Jan. 09 SIS System SIS Core Register Local DB Register Channel Apps Access layer Statistical Warehouse Databases Data processing Number Crunching, Business Intelligence (ETL, SAS) AnalysisPublication Business Intelligence, Desktop Publishing (tbd) Specific Applications (DotNet) Warehouse Infrastructure (ETL, Relational DB Oracle)

7 Why a SIS, B. Loison/dp, Eidgenössisches Departement des Innern EDI Bundesamt für Statistik BFS SIS System SIS Core Register Local DB Register Channel Apps Access layer Statistical Warehouse Databases Working Area The Strategies Used For internal use only, as few technical and privacy restrictions as possible Strict access control, privacy protection, versioning and registration (metadata-based) Accessible for external authorized data suppliers Accessible to the public

8 Why a SIS, B. Loison/dp, Eidgenössisches Departement des Innern EDI Bundesamt für Statistik BFS Functions in SIS Paper Online Phone File DS Channels DL Data Supplier Management Samples Management Metadata Usage (Variables, Classifications etc.) Anonymisation / Pseudonymisation InitialProcessing Micro data Processing SDAP (EDIMBUS) Archived Statistics Historisation Information “Clients” Diffusion Channels Printing Internet Individual Information Management Editorial Management Client Management (CRM) GWR BUR SHIS BR Analysis / Interpretation Analysis Crossmedia Production MonitoringProduction Management Metadata Management (Variables, Classifications etc.) GWRRegister of Buildings and Appartments BURRegister of Enterprises SHISSwiss Universitarian Information System EWRRegister of Inhabitants (only temporarily) BROther federal registers DLData Suppliers SDAPStatistical Data Preparation Prozess (EWR) Macro data Processing Interact. Data collection / updating Metadata updating Data Collection Management Pervasive function blocks process related function blocks

9 Why a SIS, B. Loison/dp, Eidgenössisches Departement des Innern EDI Bundesamt für Statistik BFS Business Oriented Development along with Production (SAS, BI/Publ) Production Impacts of SIS to ICT Governance: System Architecture SIS runs on the ICT infrastructure of the Swiss ICT Office. Usually, there are three environments: DevelopmentAcceptance Since the users of SIS develop and continuously adapt their statistics themselves, they need the possibility to do so:

10 Why a SIS, B. Loison/dp, Eidgenössisches Departement des Innern EDI Bundesamt für Statistik BFS Impacts of SIS on ICT Governance: Sourcing Sourcing  Software SIS enforces standardizing of tools  lower licensing costs, lower training costs Sourcing  People SIS expects the statisticians to develop/maintain their statistic specific applications themselves  = criterion for hiring Sourcing  Organization SIS intends/is expected to offer internal consultancy in terms of statistical/development support  org unit + specialists needed

11 Why a SIS, B. Loison/dp, Eidgenössisches Departement des Innern EDI Bundesamt für Statistik BFS Lessons learned by SIS - so far… 21. Jan. 09 Business drivenDevelopment of SIS is strictly optimized for minimum „time to market“: First full census to be run starting in 2011 Enteprise ArchitectureTwo substantially different kinds of statistics: - standard indexes and reports: programmed ETL apps - ever changing / one shot statistics: scripted „lab“ apps - interactive data collection to invite data suppliers Development Methods- Conventional (DotNet) programming for standard apps - Flexible scripting for „lab“ apps - Requires a special system configuration Business EngineeringStatisticians have been taught and now work successfully with BPMN and Use Cases to describe their processes and workflows Risk ManagementFinancestighter and tighter limits Peopleskilled people are difficult to obtain Deadlineseverything is flexible except the deadlines Standardizationtakes longer than Quick&Dirty…