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MODERNIZATION OF BELARUSIAN STATISTICS _________________________________________________

MODERNIZATION OF BELARUSIAN STATISTICS _________________________________________________ IMPLEMENTATION OF THE PROCESS APPROACH IN ORGANIZING THE STATISTICAL PRODUCTION. Irina Kostevich National Statistical Committee of the Republic of Belarus. 10-12 June 2014 , Nizhny Novgorod, Russia.

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MODERNIZATION OF BELARUSIAN STATISTICS _________________________________________________

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  1. MODERNIZATION OF BELARUSIAN STATISTICS _________________________________________________ IMPLEMENTATION OF THE PROCESS APPROACH IN ORGANIZING THE STATISTICAL PRODUCTION Irina Kostevich National Statistical Committee of the Republic of Belarus 10-12 June 2014,Nizhny Novgorod, Russia

  2. PROBLEM Price Statistics Labour Statistics System of“chimneys” Industry Statistics Trade Statistics

  3. BACKGROUND ON THE NATIONAL MODEL BUILDING CHANGING users requirements REDUCTION in number of employees statistical system STRUCTURE OPTIMIZATION NEED FOR STANDARDIZATION OF STATISTICAL PROCESSES CREATION OF A PROCESS-ORIENTED MODEL of statistical production 10-12 June 2014, Nizhny Novgorod, Russia

  4. Everything that is STANDARDIZED, could be MEASURABLE, and consequently, MANAGED AND EXECUTED

  5. EMPHASES • buildingprocess-oriented modelof statistical activity • documentation and standardization of all statistical production processes • definingprocess managers • commitment to quality of products and processes 10-12 June 2014, Nizhny Novgorod, Russia

  6. PROCESS-ORIENTED MODEL is necessary for everyone! For manager QUALITY MANAGEMENT TOOLS PLAN, MEASURE,ANALYZE, IMPROVE,REALLOCATE For specialist FUNCTIONS TRANSPARENCY AND CLARITY

  7. Use the GSBPM 5.0to describe the existing statistical production processes February 2014 – pilot surveys description Labour statistics Industry Statistics 10-12 June 2014, Nizhny Novgorod, Russia

  8. Results: Identification of gaps in the existing processes Lackof necessary documentation Existence ofunsettled processes 10-12 June 2014, Nizhny Novgorod, Russia

  9. National Statistical Production Model 1 Identification of needs 2 Design 3 Build 4 Collection 5 Process 6 Analyse 7 Deliver and dissemination 8 Data protection 9 Data archiving 10 Evaluation

  10. FEATURES OF THE BELARUSIAN STATISTICAL PRODUCTION PROCESS-ORIENTED MODEL 4. Collection 5. Process 6. Analyze 7.Deliver and dissemination 9. Data archiving 8. Data protection

  11. PROCESS-ORIENTED MODEL OF STATISTICAL PRODUCTION OF BELARUS STATISTICAL PRODUCTION QUALITY MANAGEMENT 1. Specify needs 2. Develop and design 5. Process 6. Analyze 10. Evaluate 7. Deliver and Disseminate 3. Build 4. Collect 5.1. integrate data 10.1. gather evaluation inputs 4.1. collect primary statistical data 2.1. specify composition of statistical indicators, develop the methodology of their formation 7.1. produce statistical publications 1.1. Analyze and specify the users’ needs 6.1.prepare preliminary results (calculate additional indicators) 3.1. build primary statistical data collection tools 7.2. update geographical database, BMB, BM 5.2. control and revise data 10.2. conduct evaluation 1.2. establish objectives 4.2. acquire administrative data 5.3. calculate weights 3.2. build or enhance data processing technology 7.3. manage official statistical data dissemination 2.2.specify the list of statistical classifications and nomenclatures 6.2. control and interpret the results 10.3. develop and agree further action plan 1.3. check data availability 5.4. derive basic aggregated data 4.3. finalize primary data collection (input, code, completeness) 6.3. disclosure control 1.4. develop grounding for implementation of new statistical monitoring 7.4. promote disseminated products 2.3. design aggregate limits and sampling methodology 3.3. build or enhance software and hardware facilities, test them 5.5. control aggregated data 7.5. manage customer queries 6.5. finalize and approve outputs 1.5. define competence for organizing and carrying out statistical monitoring 2.4. develop and test statistical tools 3.4. build tools for dissemination of official statistical information 2.5. approve statistical tools 8. Data protection 3.5. finalize production system 9. Data archiving 2.6. design and approve technical process of statistical production

  12. PROCESS APPROACH PROCESSES SURVEYS DefiningMANAGER – THE PROCESS HOST DefiningMANAGER FOR SURVEY CONDUCTING Building of SURVEY MANAGERS TEAM Building ofPROCESS MANAGERS TEAM 10-12 June 2014, Nizhny Novgorod, Russia

  13. INSTITUTIONAL LEVEL QUALITY MANAGER PROCESS MANAGER INDUSTRIAL QUALITYMANAGER INDUSTRIAL LEVEL LEVEL OF SURVEYS MANAGER FOR SURVEY CONDUCTING 13

  14. REGULATIONS for a process (documented description of every process) Guidelines on process model(Regulations’ handbook) SURVEY Process model 14

  15. SUPPOSED EFFICIENCY DEFINITIONof clear responsibility limits of managers and specialists OPTIMIZATIONof labor force and costs DEFINITIONof problematic issues and high cost processes FORECASTINGof performance results 10-12 June 2014, Nizhny Novgorod, Russia

  16. Qualitymanagement of resources and processes, building efficient production • Goodguide for future steps of development • Guarantee for increasing confidence in statistics • Organization image QUALITY MANAGEMENT SYSTEM 10-12 June 2014, Nizhny Novgorod, Russia

  17. Process-oriented model of statistical production and quality management system is: PURPOSE – TO IMPLEMENT IT AND MAKE IT WORK! • AN INNOVATIONin Belarusian statistics • A MODEL, which candramaticallyincrease performance efficiency, data and services quality • our GROWTH MODEL

  18. MODERN MANAGEMENT in STATISTICS TO ENSURE OPTIMAL RESPONSE BURDEN TO SATISFY A USERWITH HIGH QUALITY OF DATA and SERVICES RESULT, SATISFACTION AND INTEREST TO ENSURE THE HUMAN RESOURCES AN EFFICIENT USE TO ENSURE THE BUDGETARY FUNDS AN EFFICIENT USE 18

  19. THANK YOU FOR YOUR ATTENTION Вопросы? 10-12 June 2014, Nizhny Novgorod, Russia

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