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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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slide1

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

slide2

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

slide3

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.
slide4

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.
slide6

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

slide7

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

slide8

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
slide9

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
slide10

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.

implementation of gsbpm for energy statistics in azerbaijan

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”

slide12

Model GSBPM for energy statistics

Specify needs

Design

Build

Collect

Process

Analysis

Disseminate

Archive

Evaluate

slide13

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

slide14

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

slide15

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

slide16

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

slide17

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

slide18

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

slide19

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

slide20

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

slide21

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

slide22

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

slide23

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

slide24

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

slide25

Continue of phase 3

  • 3.Build

Create process components

Output

Input

Production system

  • Instruments
slide26

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
slide27

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

slide28

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

slide29

Continue of phase 4

4. Collect

4.1

Select sample

4.2

Set up collection

4.3

Run collection

4.4

Finalize collection

slide30

Continue of phase 4

4. Collect

  • Data collection

Input

Output

  • Data
  • Data
slide31

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

slide32

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

slide33

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

slide34

Continue of phase 5

  • 5.Process

Classify and mode, micro edit, control, imputation, calculate weights

Output

Input

Statistical data

Data

slide35

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
slide36

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

slide37

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
slide38

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

slide39

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

slide40

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
slide41

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
slide42

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

slide43

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

slide44

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
slide45

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

slide46

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

slide48

Continue of phase 8

  • 8.Archive
  • Archive

Input

Output

Procedural nomenclature, data and metadata

  • Archive
slide49

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
slide50

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

slide51

Continue of phase 9

  • 9.Evaluate
  • 9.2 Conduct evaluation
  • 9.3 Agree action plan
  • 9.1. Gather evaluation inputs
  • 9.1.1Creating of team
  • 9.2.1. Analysis and include on a report
  • 9.3.1. Forming action plan
  • 9.3.2 Determine monitoring mechanism
  • 9.2.2. Reference
  • 9.1.2 Gather the materials of precedent evaluation
  • 9.3.3 Confirm action plan
  • 9.1.3Present materials to the team
slide52

Continue of phase 9

  • 9.Evaluate

Input

Output

Evaluation materials

Evaluate of processes

  • Evaluation
  • 9.1
  • Gather evaluation inputs

Input

Output

Gather evaluation inputs

Gather evaluation inputs

  • Evaluation
slide53

9.2

Conduct evaluation

Input

Output

Conduct evaluation

Conduct evaluation

Evaluation

  • 9.3
  • Agree action plan

Output

Input

Evaluation

Agree action plan

  • Agree action plan

Results Phase 9. Evaluate

slide54

Challenges

  • Operate the processes of energy statistics on the basis of GSBPM in detail.
  • Provide possible relations of the processes .
  • To form the metadata op detailed processes.
  • Organize trainings and development programs about GSBPM.
  • Explore the methodology, recommendations and innovative plans accepted by the international organizations and determine expediency of application standards.