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8 th Oslo Group meeting in Azerbaijan , 24-27 September 201 3

8 th Oslo Group meeting in Azerbaijan , 24-27 September 201 3. Quality management and metadata for crude oil statistics in the SSC of the Republic of Azerbaijan. Yusif Yusifov Deputy chairman of the State Statistical Committee of the Republic of Azerbaijan. yusify@azstat.org.

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8 th Oslo Group meeting in Azerbaijan , 24-27 September 201 3

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  1. 8 th Oslo Group meeting in Azerbaijan, 24-27 September 2013 Quality management and metadata for crude oil statistics in the SSC of the Republic of Azerbaijan YusifYusifov Deputy chairman of the State Statistical Committee of the Republic of Azerbaijan yusify@azstat.org

  2. Outline Quality management and metadata in the SSC of the Republic of Azerbaijan GSBPM for energy statistics GSBPM for crude oil statistics: phases Sub-processes and activities for oil statistics Challenges

  3. Quality management and metadata in the SSC of the Republic of Azerbaijan. • Metadata as new challenges for world statistics • Quality management and metadata system is one of the recommendations of Global Assessment of the official statistics of Azerbaijan which organized by Eurostat,The European Free Trade Association(EFTA) and United Nations Economic Commission (UNECE) for Europe in 2010.

  4. Activities of Azerbaijan on Quality Management • 2010 • Decision about creation of “Quality Management system” • Ratification of policy and aim about Quality Management • Creation of new sector for implementation “Quality Management”system • 2011 • Quality management system has been applied to the Industry ,Transport and communication and Price statistics sectors of Community as pilot project. • 2012 • Creation of “Quality Management and Information Technology“ department for effective coordination activities on SSC. • Ratification of “Activity plan 2012-2013”about implementation of Quality Management and Metada system. • Starting implementation Quality management to all sections of the Committee. • 2013 • Starting implementation QM system to local statistics organizations of SSC. • Realization of internal audit to find out condition on divisions of SSC.

  5. Forming of external audit by certification organization

  6. Bureau Veritas Certification İSO 9001: 2008 Bureau Veritas Certification certify that the Management System of the organisation has been audited and found to be in accordance with the requirements of the management system standard İSO 9001: 2008 Original certification date: 15 August 2013

  7. What is GSBPM? • GSBPM is a speedy tool which gives an opportunity to standardize ,operation,organize single mechanism of production and minimize the mistakes of the management. • This model enables coordinate the process with human resource and realize the system with the qualified technological route. The structure of the model GSBPM consist of 4 levels : 1. Statistics-business process 2. 9 Steps of statistics-business process 3. Sub-process of each step 4. Description of the sub-processes

  8. Why GSBPM for energy statistics • Associated with forming ISO 9001:2008 Quality Management in the State Statistical Committee of the Republic of Azerbaijan • Recommendation of Global Assessment to the State Statistical Committee • Common way for describing process steps • Appreciation of the accumulation, usage, evaluation process of the energy statistics indexes • Challenges • Achievement of the Committee

  9. Advantages of GSBPM on energy statistics • GSBPM facilitate management of processes • Emend the mistakes in time • Systematic approach to the problems • Increase belief of users • Increase quality of statistics information

  10. Our strategy Improve the base of the energy statistics process taking into consideration the national version of GSBPM. Our aim The aim of the GSBPM is provision of the base of metadata system with the standard nomenclature.

  11. Implementation of GSBPM for energy statistics in Azerbaijan “Generalized Model of Statistical Business Processes” (GSBPM) Standards and map of management of statistical processes on industry and construction statistics” “Methodological Conception of Existing Process on Management System on Energy Statistics”

  12. Model GSBPM for energy statistics Specify needs Design Build Collect Process Analysis Disseminate Archive Evaluate

  13. Model GSBPM for oil statistics Specify needs Analysis GSBPM model for oil statistics is identical to the model of GSBPM on energy statistics. Design Disseminate Build Archive Collect Process Evaluate

  14. Continue of phase 1 Phases and sub-processes for energy statistics • 1.Specify needs 1.1 Determine need for information 1.3 Establish outputobjectives 1.2 Consult and confirm needs 1.4 Identify concepts 1.5Check data and metadata availability 1.6 Prepare business case

  15. Continue of phase 1 • 1. Specify needs Determine the need on crude oil statistics Output Input Improved official statistical questionnaires International methodology, questionnaire, presentation, users request, orders, decrees

  16. 1.1 Determine need for information Continue of phase 1 Input Output International requirements and recommendations orders, decrees, reports, presentations Study needs of data users Identification of need on crude oil statistics 1.2 Consult and confirm need Output Input Implementation of discussion with SOCAR and MIE on improvement of crude oil indicators and its coordination and confirmation Minutes of meetings, works and written agreement Offers from SOCAR and MIE

  17. Continue of phase 1 • 1.3 • Establish output objectives Input Output Create viable definitions of the variables Decrees and orders of the SSC Conceptual definitions of variable, table outlines 1.4 Identify concepts Input Output Standards, control checking concepts Identify concepts Improved concepts

  18. 1.5 • Check data and metadata availability Input Output Issues with SOCAR and MIE the project approved by Methodological Council, decrees and orders of the SSC Determine internal and external sources • Agreements, strategy, analysis 1.6 Prepare business case Output Input Work plan, budget Projects, estimations Make a project work plan, determine the budget Results Phase 1. Approved projects and plans

  19. Continue of phase 2 2. Design 2.3 Design data collection methodology 2.4 Design frame and sample methodology 2.2 Design variable descriptions 2.1 Design outputs 2.5 Design statistical processing methodology 2.6 Design production systems and workflow

  20. Continue of phase 2 2.Design Discussion of the program on processing of the instructions on filling in of the report forms (6-extraction (oil, gas) 1-TİG (oil), 1-balance (oil)) in PC Output Input Layout of the output tables Questionnaires, output tables, set of indicators

  21. Continue of phase 2 2.1 Design outputs Input Output Questionnaires, output tables, set of indicators Layout of the out put tables • Design outputs 2.2 Design variable descriptions Output Input Design variable descriptions, surveys, registers Harmonization of clarification Letters of agreement, resolution, register

  22. Continue of phase 2 • 2.3 • Design data collection methodology Input Definition report coverage Draft metadata Metadata 2.4 Design frame and sample methodology Output Input • Determination of frame of survey and plan to conduct survey Actual register Survey plan

  23. 2.5 Design statistical processing methodology Input Output Design statistical processing methodology • Letters of agreement , Methodological Council s resolution Statistical processing methodology 2.6 Design production systems and workflow Input Output Including of report forms reflecting crude oil data in statistical work program Division of work on Department of Industry and Construction Statistics • Preparation of work plan Results Phase 2. All designs approved

  24. Continue of phase 3 3.Build 3.1 Construct components of data collection issues 3.2 Build or enhance process components 3.3 Configure workflow 3.4 Test production system 3.5 Test statistical business process 3.6 Finalize production system

  25. Continue of phase 3 • 3.Build Create process components Output Input Production system • Instruments

  26. Continue of phase 3 3.1 Construct components of data collection issues Input Output Production system Issues, instruments Build system 3.2 Build or enhance process components Input Output Build process components Created components • Instruments

  27. Continue of phase 3 3.3 Configure workflow Input Output Raise the issue Preparation of reports Reports 3.4 Test production system Input Output Test production system Raise the issue Take over

  28. 3.5 Test statistical business process Input Output Raise the issue Test statistical business process Take over 3.6 Finalize production system Input Output Staffs, production system Skills, production system • Finalize production system Results Phase 3. System in production

  29. Continue of phase 4 4. Collect 4.1 Select sample 4.2 Set up collection 4.3 Run collection 4.4 Finalize collection

  30. Continue of phase 4 4. Collect • Data collection Input Output • Data • Data

  31. 4.1 Select sample Continue of phase 4 Output Input Including all economic subjects engaged in crude oil extraction, consumption, import and export in reporting register List of statistical units presenting reports 6-extraction (oil, gas) 1-TİG (oil), 1-balance (oil) Set of observation 4.2 Set up collection Input Output Questionnaires data Set up collection • Data Data

  32. 4.3 Run collection Input Output Raise the issue Online collection of the reports • Data 4.4 Finalize collection Input Output Data Data Finalize collection Results Phase 4. Data ready for processing

  33. Continue of phase 5 5. Process 5.1Integrate data 5.2Classify &coding 5.3Review, validate & edit 5.4Impute 5.5Derive new variables & statistical units 5.7Calculate aggregates 5.6Calculate weights 5.8Finalize data files

  34. Continue of phase 5 • 5.Process Classify and mode, micro edit, control, imputation, calculate weights Output Input Statistical data Data

  35. Continue of phase 5 • 5.1 • Integrate data Input Output • Link data sources and statistical registers • Integration of data Data and registers • 5.2 • Classify & coding Input Output • Classification and coding • Units data • Data

  36. Continue of phase 5 5.3 Review, validate & edit Input Output • Review, validity check and editing • Data • Validated data 5.4 Impute Input Output Identification of potential errors and missing • Data Estimated data

  37. Continue of phase 5 5.5 Derive new variables & statistical units Input Output • Derive new variables& statistical units Results of monitoring • Variable 5.6 Calculate weights Input Output • Approved notes by MCC Calculate weights • Data

  38. 5.7 Calculate aggregates Input Output • Approved notes by MCC • Calculate aggregates • Data 5.8 Finalize data files Input Output • Finalize data files • Store micro-data Data Results Phase 5. Data ready for analysis

  39. Continue of phase 6 6. Analysis 6.4 Apply disclosure control 6.1 Prepare draft outputs 6.2 Validate outputs 6.3 Scrutinize & explain 6.5 Finalize outputs

  40. 6. Analysis Continue of phase 6 Input Produce statistics, quality of data, preparation of data, finalize Output • Data • Ready data • 6.1 • Prepare draft outputs Preparation of initial results based on 6-extraction (oil, gas) 1-TİG (oil), 1-balance (oil) reports Input Output • Primary output • Output

  41. 6.2 Validate outputs Continue of phase 6 Input Output • Primary output • Validate outputs • Validated outputs 6.3 Scrutinize & explain Input Output Summarized data based on reports Explanation of results based on output data • Data

  42. 6.4 Apply disclosure control Output Input Preserve confidentially of primary data • Control of preserve confidentially of primary data • Summarized data based on reports 6.5 Finalize outputs Output Input Final outputs for user Summarized data based on reports Prepare final result Results Phase 6. Analysis ready to dissemination

  43. Continue of phase 7 7. Disseminate 7.3 Manage release of dissemination products 7.1 Update output system 7.2 Produce dissemination products 7.5 Manage users' inquires 7.4 Promote dissemination products

  44. Continue of phase 7 • 7. Disseminate Input Output Analysis and data Dissemination of oil data Analysis and data • 7.1 • Update output system Input Register on dissemination of the issues • Analysis and data • Update of oil data

  45. Continue of phase 7 • 7.2 • Produce dissemination products Output Input Analysis and data Register on dissemination of the issues Oil data production • 7.3 • Manage release of dissemination products Input Output Working plan on statistical analysis, catalogue of statistical publications Manage oil release products Notify users of release

  46. 7.4 • Promote dissemination products Input Output Dissemination products Promote dissemination products Manage of products • 7.5 • Manage users' inquires Input Output The assignment of chairman or deputy chairman of the Committee Manage questionnaires on oil, filling of questionnaire Meet requirements of users Results Phase 7. Statistics disseminated

  47. Continue of phase 8

  48. Continue of phase 8 • 8.Archive • Archive Input Output Procedural nomenclature, data and metadata • Archive

  49. Continue of phase 8 • 8.1 • Determine the rules of archive Input Output Procedural nomenclature Determine archiving rules • Documents • 8.2 • Management of archive Input Output • Determine archiving rules Procedural nomenclature • Documents

  50. 8.3 • Support of information and metadata Input Output Preserve data and associated metadata Data and metadata • Archive • 8.4 • Extermination of metadata and information Output Input Dispose of data & associated metadata • Data and metadata • Archive Results Phase 8. Statistics archived

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