The Generic Statistical Business Process Model application in the Russian statistical

practice

High Level Workshop on Modernization of Official StatisticsNizhny Novgorod, 10-12 June 2014

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Presentation Outline

1. Brief characteristics of the Russian statistical system; features of the statistical production

2. Overall assessment of the GSBPM application in Russia

3. Analysis of the statistical production process separate stages: weaknesses and prospects for improvements

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Centralized System of the State Statistics with Elements of Decentralization

Federal State Statistics Service (Rosstat)

• the authority, empowered to form public policy in statistical field

• the body, coordinating official statistical activities

• 50% of produced official statistical information Federal departments and

agencies, the Bank, extrabudgetary funds

• 68 subjects of official statistical accounting

• 50% of produced statistical information

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Statistical System coordination tools

Federal statistical work plan (approved by the government)

Unified Official Statistical Methodology (subject to approval by Rosstat)

Agreed harmonized questionnaires system (the forms are approved by Rosstat for all subjects)

Unified Interagency Information Statistical System (UIISS)(Open storage of all official statistical information)

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Central Executive Office in Moscow

The head of Rosstat, 6 Deputies,

18 departments,

more than 600 state employees

Information & publishing center “Statistics of Russia”

20 employees

84 territorial bodies, incl. rayon level

More than 20 thousands employees

Main Interregional Center of Processing and Dissemination

of Statistical Information 800 employees

Research Institute of Socio-Economic Statistics

50 employees

Research and Design Institute of Statistical Information

System 200 employees

Interviewers Network

1,000 people for prices monitoring

4,000 people for household surveys

Rosstat SystemRosstat System

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Statistical observation organization

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The Main Goals of Russian Statistics

Improve the statistical system coordination

Introduction of advanced methods of collection and dissemination of statistical information

Further harmonization with international standards

For users Improve the quality and timeliness of statistical data

For respondents Reduce the burden

For budget Decrease the statistical production process costs/prices

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GSBPM application in RussiaStage 1. Specify needs

Stage 2. Design

Stage 3. Build

Stage 4. Collection

Stage 5. Process

Stage 6. Analysis

Stage 7. Dissemination

Stage 8. Evaluation

100%

90%

100%

80%

90%

100%

80%

30%

80-85% =Target indicator of compliance with international standards

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Implementation of the GSBPM particular elements

Управление качеством / управление метаданными

Установление потребностей

Проектирование Создание

Сбор данных

Обработка

Анализ

1. Распространение

Оценка

1.1. Определение потребностей в

информации

2.1. Проектирование выходного продукта

1.1. 3.1. Создание инструментов

сбора

1.2. 4.1. Формирова-ние основы выборки и

выборочной совокупности

5.1. Ввод и объединение данных

6.1. Подготовка предварительных

результатов

7.1.Обновление систем выходных данных

8.1.Сбор материалов для

оценки

1.3. 1.2. Обсуждение и подтверждение

потребностей

1.4. 2.2. Разработка описания показателей

1.5. 3.2. Создание или совершенствов.

компонентов процесса

1.6. 4.2. Разработка порядка сбора

данных

1.7. 5.2.Классификация и кодирование

6.2. Контроль результатов

1.8. 7.2.Производство распространяемых

продуктов

1.9. 8.2.Проведение оценки

1.10. 1.3. Постановка целей и задач наблюдения

1.11. 2.3. Разработка методологии сбора

данных

3.3. Создание или соверш.

компонентов распространения

1.12. 4.3. Проведение сбора данных

5.3.Проверка, контроль и редактирование

1.13. 6.3.Интерпретация и объяснение

выходных данных

1.14. 7.3.Управление выпуском

распространяемых продуктов

1.15. 8.3.Согласование плана действий

1.4. Идентификация

понятий

2.4. Проектирование границ совокупности и методологии выборок

1.16. 3.4. Настройка рабочих процессов

1.17. 4.4.Завершение сбора данных

1.18. 5.4.Восстановление (импутация) данных

6.4. Контроль за раскрытием информации

1.19. 7.4.Продвижение распространяемой

продукции

1.5. Исследование доступности

данных

2.5. Создание методологии

статистической обработки

1.20. 3.5. Тестирование системы

производства

5.5. Расчет новых показателей и

статистических единиц

6.5. Окончательное оформление результатов

7.5. Управление запросами

потребителей

1.21. 1.6. Разработка экономического

обоснования

2.6. Проектирование системы производства

и техпроцесса

3.6. Тестирование статистического бизнес-процесса

1.22. 5.6. Расчет весов

1.23. 3.7. Завершение создания системы

производства

5.7. Расчет агрегированных

показателей

1.24. 1.25. 1.26. 1.27. 5.8. Формирование конечных файлов

данных

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Stage 1. Specify needs

Prioritization,Needs analysis

Narrow range of reference groups

Lack of effective feedback from users

Reduction of the statistical observation costs

Growing needs of user community

Weak prioritization

Increasing the number of reference groups (civil society, expert community, international organizations)

Improving feedback tools ("open government“, Public Council, Methodological Council, surveys and forums)

Regular forms review

Strict prioritization

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Stage 2. DesignDevelopment of the Observation Informational Basis, Improvement of the Statistical Register

Improvement of quality of the observations

information basis

Decentralized technology of the observation information basis formation, lack of control of the compliance with the sample design methodology

Duplication of data in the statistical register

Lack of efficiency and synchronization of the information actualization on observation units within statistical resources

Insufficient use of administrative sources - inability to build business demography

Inability to provide online the statistical register data to users

Accounting completeness, exclusion of errors under the identification, observation units prompt actualization

Sample basis development control, completeness of reporting, quality of statistics

New opportunities of the statistical register use (financial relations between enterprises, business demography statistics)

Access mode to the statistical register for users

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Stage 3. Build Sample Development Subsystem

New technological opportunities, new approaches, new

methodology

Decentralized technology of a sample development and calculation of observation summary results

To develop samples, the software with limited set of sample development methods is used

No strict monitoring of compliance with the sample survey methodology

Centralized technology of sample development and observation summary results

Development of a universal software tool that provides the modern technologies implementation for sample and outcome development of sample surveys for various surveys types, included in the unified data collection and processing system

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Stage 4. Collection

Centralization automatization

of processes

Decentralized collection and preliminary data processing

Primary data collection in paper form

No possibility for statistical reporting in electronic form for all types of businesses and organizations

Low proportion of statistical reporting presented in electronic form

Centralization of data collection and processing

Transition to the electronic primary data collection

Transition to data collection in households procedures by using handheld software and hardware systems

Call-center creation for the socio-economic statistics purposes

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Stage 5. ProcessClassification system improvement

systematizationharmonization

Lack of comprehensive rules and common approaches for information systematization and coding

Lag (delay) in harmonization with international analogues

Use of outdated versions of classifiers

Lack of the unified information environment in the field of information systematization and coding

Approval by the Government of a medium-term plan on All-Russian classifiers development

Adoption of the Concept of systematization and coding methodology, as well as All-Russian classifiers, registers and information resources improvement and actualization

Software tools creation and development, designed to manage and store information resources

Russian Classification Basic International ClassificationMost recent International

Version

All-Russian Classifier of Types of Economic Activities (ОКВЭД Rev. 1.1)

The Classification of Economic Activities in the European Community (NACE Rev 1.1)

NACE Rev.2 (ISIC rev.4)

All-Russian Industry-Specific Product Classifier (ОКПД)

The EU Industry-Specific Product Classification (СРА-2002)

CPA-2008

Foreign Trade Commodity Classification of the Customs Union (ТН ВЭД ТС)

The Harmonized Commodity Description and Coding System (HS-2004)

HS-2005

All-Russian Classifier of Occupations (ОКЗ) The International Standard Classification of Occupations (ISCO-88)

ISCO-2008

All-Russian Classifier of Education Majors (ОКСО)

The International Standard Classification of Education (ISCED-1997)

ISCED-2011

Russian Version of the International Statistical Classification of Diseases and Related Health Problems (ISCD)

The International Classification of Diseases and Related Health Problems (ICD-2010)

ICD-2011

Russian and international socio-economic classification

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Stage 5. ProcessData Editing and Imputation

unification control increase

Developing for each survey a separate module for data editing and imputation

Decentralized procedures of data editing and imputation

Lack of automated monitoring of compliance with editing technology and data imputation

Creating a common framework for data collection and processing on universal subsystem for imputation and editing of primary data

Improving the quality of output information

Significant reduction of financial and time costs for data editing and imputation.

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Stages 6-7. Analysis and Dissemination Ensuring confidentiality

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Stage 7. Dissemination

New technological possibilities, new

approaches

Limited set of dissemination tools

Lack of the united "entry point" for users

Uncomfortable reporting formats; lack of common formats

Insufficient maintenance of output data by metadata and explanations

Large amount of ‘restricted' data; confidentiality

Unified Interagency Information Statistics System (UIISS)

Metadata dissemination; SDMX standard application

New features of Rosstat integrated/combined Internet-portal

“Open data" format

Opening the data for researchers

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Stage 8. Evaluation

Evaluation improvement

planning

Lack of the systematic approach for the agreed evaluation action plan

Lack of clear link between the evaluation stage and other stages

Only some measures on the survey quality have been introduced (self-evaluation of an organization and statistical observation quality , evaluation of a user satisfaction by statistical information)

Approved regulations system aimed to ensure and manage quality

basic methodological provisions to evaluate the quality of statistical information; long-term action plan to improve the organization of federal state statistical observations; methodological provisions to evaluate the quality and results of statistical surveys (method of calculating quality ratings)

Methodological and other tools actualization to ensure evaluation and quality management of statistical information

Adoption of an agreed evaluation action plan

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Thank you for your attention!