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The concept of the new organization of statistical surveys

The concept of the new organization of statistical surveys. Janusz Dygaszewicz Director Programming and Coordination of Statistical Surveys Department CSO Poland. Meeting on the Management of Statistical Information Systems Paris, France 23 - 25 April 2013. The presentation’s schedule.

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The concept of the new organization of statistical surveys

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  1. The concept of the new organization of statistical surveys Janusz Dygaszewicz Director Programming and Coordination of Statistical Surveys Department CSO Poland Meeting on the Management of Statistical Information Systems Paris, France 23 - 25 April 2013

  2. The presentation’s schedule Conceptual model of functioning of official statistics Reformationconcept The Integrated Statistical Business Process Model Framework plan of reaching the Integrated Statistical Business Process System in Poland Summary

  3. Conceptual model of functioning of official statistics Needs Organization structure Processes Products Dostawcy Products Dostawcy Dostawcy The Knowledge Base Suppliers Dostawcy Customers Services Services Tools Regulations

  4. ReorganizationConcept • Process approach • Holistic – looking from the angle of all surveys and using the synergy effect • „From the outside to the inside” - based on forecast expectations of the customer • Focused on the analysisand improvement of relations (i.e. interface) between composite elements of the organization • Reorganization of the statistical survey process • Optimalization and standardization of working processes • Optimalization of data collection – single collection of a variable used in several surveys • Maximal use of secondary data – f.ex. from administrative sources • Integration, consolidation andstandardization IT solutions • Including adaptation of solutions to the new working processes, organizational structure • Improvement of organizational structure of official statistics– unitsorganization according to the GSBPM

  5. ReorganizationconceptImplementationthe Integrated Statistical Business Process Model (ISBPM) TheIntegratedStatistical Business Process Model TheKnowledgeBase

  6. Stove-pipes model of current surveys organization Survey 1 (dedicatedorganizational unit 1 and dedicated IT system 1) Data collection Data analysis Data dissemination Data processing Survey2 (dedicatedorganizational unit 2 and dedicated IT system 2) Data analysis Data processing Data collection Data dissemination … SurveyN (dedicatedorganizational unit N and dedicated IT system N) Data dissemination Data processing Data analysis Data collection

  7. Reorganization process conceptDeterminationof the main stages Survey 1 Data processing Data analysis Data collection Data dissemination Survey 2 Data processing Data collection Data analysis Data dissemination … Survey N Data dissemination Data processing Data analysis Data collection

  8. Reorganization process concept Themainstagesstandarization Survey 1 Data collection Data processing Data analysis Data dissemination Survey 2 Data collection Data processing Data analysis Data dissemination … Survey N Data collection Data processing Data analysis Data dissemination

  9. Reorganization process concept Integration of standardized processes Survey 1 Survey 2 … Survey N Data processing Data dissemination Data collection Data analysis

  10. Reorganization process concept Grouping of integrated global processes and databases Data collection Data processing Data analysis Data dissemination Survey 1 Survey 2 … Survey N

  11. Reorganization process concept Framework for corporatearchitecture Organization, coordination and control Data processing Data analysis Data dissemination Data collection Survey 1 Survey 2 … Survey N IT services and tools community

  12. ISBPM– Grouping Conceptof statistical product process Designing Production Statistical products Produkty statystyczne Produkty statystyczne Informationfromrespondents Set of variablesvaluescollected for thestatisticalproduct group Resultant micro data for thestatistical products group Analytical data structures • Publicationaggregategroups Produkty statystyczne Informacje od respondentów Zbiory wartości zmiennych zbieranych dla Grupy produktów statystycznych Wynikowe mikrodane dla Grupy produktów statystycznych Analityczne struktury danych • Grupy agregatów publikacyjnych Produkty statystyczne Informacje od respondentów Zbiory wartości zmiennych zbieranych dla Grupy produktów statystycznych Wynikowe mikrodane dla Grupy produktów statystycznych Analityczne struktury danych • Grupy agregatów publikacyjnych Produkty statystyczne Produkty statystyczne Statistical products groups Aggregategroups Grupy produktów statystycznych Grupy agregatów Grupy produktów statystycznych Grupy agregatów Zbiory danych administracji publicznej Zbiory danych administracji publicznej Administrativesources Other data sets Inne zbiory danych Inne zbiory danych Operational micro data repository Statistical products repository Raw data repository Analytical micro and macro data repository

  13. TheIntegratedStatistical Business Process Model TheKnowledgeBase

  14. ISBPM –MainProcesses Organization, coordination and control Preparing Specifyneeds Build Archive Design Ex-post evaluation Production Data Dissemination Data Analysis Data Processing Data collection Development and maintenancetools/ IT services

  15. ISBPM - Design Processes Organization, coordination and control unit An cumulative plan for thewholeorganization Plans of organization(partial) Data collection unit Organization, coordination and control of design Data processing unit Designing of data collection Analysis data unit Designing of processing of analytical micro data Designing of processing of operational micro data Customer service unit Designing of data analysis IT services providing unit Designing of statistical products Toolsdesigning/ IT services

  16. ISBPM – Build Process Organization, coordination and control unit Organization, coordination and control of designong Organization, coordination and control of build An cumulative build plan Data collection unit Designing of data collection Adjustmentconcerningthe data collection Data processing unit Adjustmentconcerningprocessing of operational micro data Designing of processing of operational micro data Designing of processing of analitical micro data Adjustmentconcerningprocessing of analytical micro data Analysis data unit Adjustmentconcerning data analysis Designing of data analysis Customer service unit Designing of statistical products Adjustmentconcerning data dissemination IT services providing unit Tools / IT services designing Tools/ IT services adjustment Designing Build

  17. ISBPM – Production Process Organization, coordination and control unit Organization, coordination and control of designing Organization, coordination and control of produce An cumulative produce plan Data collection unit Designing of data collection Data collection Data processing unit Processing of operational micro data Designing of processing of operational micro data Designing of processing of analytical micro data Processing of analytical micro data Analysis data unit Data anaysis Designing of data anaysis Customer service unit Designing of statistical products Data dissemination IT services providing unit Toolsdesigning / IT services Toolsmaintenance/IT services Designing Production Build

  18. actStatisticalproduction model Organization,coordination and productioncontrol «datastore» Organization, coordination Metainformationrepository and control unit Data collection Data processing Dataanalysis Datadissemination production plan production plan production plan production plan Information on Information on Information on Information on task task task task Public administration implementation implementation data repositories implementation implementation Information on Information Information on errors onerrors errors Data collection Data analysis Data processing Data dissemination Other data repositories Information on Publicationaggregation Variablevalue availability Group, Statistical collection of the of data products Group CAxI Data statistical products group for analysis Data collection task Register index update «datastore» «datastore» «datastore» «datastore» «datastore» Raw data repository Statisticalunits Operational Analytical micro and macro Statistical products register micro data data repository (DataWarehouse) repository repository «datastore» Statististical repositories of source data Datacollection unit Data processing unit Dataanalysis unit Customer service unit (Surveyauthors) ISBPM –Corporatearchitecture for mainproductionprocess

  19. TheIntegratedStatistical Business Process Model TheKnowledgeBase

  20. Supportingunits ISBPM – Organization of newarchitecture Data processing unit • Organization , coordination and control unit Data collection unit Data analysis unit Customer service unit The unit providing IT services Primaryunits

  21. TheIntegratedStatistical Business Process Model TheKnowledgeBase

  22. Basic elements of the IT environment ISBPM MetainformationRepository Education System Designing, Planning and Control System Knowledge Management System KnowledgeRepository Metainformation System Data Collection System Service System of theStatisticalUnits Register Service System CAxI Micro data ProcessingOperation System Analytical System of Micro Data Processing Analysis and DecisionsSupporting System Dissemination of StatisticalInformation System Raw Data Repository StatisticalUnits Register Micro Data Repository Analytical Micro and Macro Data Repository Statistical Products Repository Infrastructure Service System Archiving System ArchiveRepository

  23. TheIntegratedStatistical Business Process Model TheKnowledgeBase

  24. The Knowledge Base– capacity building Wisdom Needs Suppliers Customers Organization structure Suppliers Customers Processes Products Products Suppliers Customers The Knowledge Base The Knowledge Base The Knowledge Base Dostawcy Services Services Knowledge Tools Supported by „IT” Information Data Regulations

  25. Framework plan of reaching the Integrated Statistical Business Process System in Poland Phase 1 – Preparation Phase 2 – Pilot concept along with transformation preparation Phase 3 – Verification Phase 4 – Transformation Phase 5 – Destination state

  26. Framework plan of reaching the Integrated Statistical Business Process System in Poland The principal rules: Gradual increase of surveys performed with the new methods Evolutionary transformation of the organization Evolutionary transformation of the IT environment Successive implementation of new work processes

  27. 2012 2013 2014 2015 2016 2017 2018 2019 2020 Phase 1 - Preparation Phase 2 - Pilot conceptalongwith Edition 2014 • thepreparation of thetransformation Edition 2015 Phase3 - Verification Edition 2016 Phase 4 - Transformation Edition 2017 Edition 2018 Edition 2019 Phase 5 – Destination state Edition 2020 Gradualincrease of share of surveysperformedwiththenewmethodsinrelation to the general number of surveys Evolutionarytransformation of theorganization Evolutionarytransformation of the IT environment Transformation plan

  28. Summary(1) Several connected and integrated IT systems instead of hundreds existing. Several specialized organizational units, extracted according to task specialization, concentrating specialist competences instead of many „independent” organizations. Instead of the knowledge dispersed in organization it is proposed that it be concentrated and employed with the use of the Knowledge Basewhich willsupport moreefficiently capacity building. Instead of using independent and individual approach to the realization of each of the surveys – standardize of realization statistical surveys processes, preparing common methods and the best practices, used for the various stages (plug&playtechnology). Comprehensive look at all conducted surveys – elimination of structural ineffectiveness sources by proper products grouping.

  29. Summary(2) Instead of collection data independently for each survey, and lack of cooperation for the needs of other surveys – using dedicated system which would support collection data for many surveys. Instead of individual, dispersed communication between particular leader units and statistical products customers, establish a dedicated unit – a connection point with statistical customer. Instead of dispersed information on the primary needs reported by customers, creating a single place for storing and analyzing data. Instead of expensive data, collected from direct surveys, increasing obtaining cheaper data – from administrative sources and sharing data within the organization and many surveys from different fields (including Big-data).

  30. Thankyou for attention Janusz Dygaszewicz Director Programming and Coordinationof Statistical Surveys Department CSO Poland j.dygaszewicz@stat.gov.pl

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