Transcript The Generic Statistical Business Process Model application in the Russian statistical practice High Level Workshop on Modernization of Official Statistics Nizhny Novgorod, 10-12

The Generic Statistical Business Process Model
application in the Russian statistical practice
High Level Workshop on Modernization of Official Statistics
Nizhny Novgorod, 10-12 June 2014
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)
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•
•
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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Rosstat System
Central Executive Office in Moscow
The head of Rosstat, 6 Deputies,
18 departments,
more than 600 state employees
Main Interregional Center of
Processing and Dissemination
of Statistical Information
800 employees
Information & publishing center
“Statistics of Russia”
20 employees
84 territorial bodies, incl. rayon
level
More than 20 thousands
employees
Research Institute of SocioEconomic 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
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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 Russia
Stage 1. Specify needs
100%
Stage 2. Design
90%
Stage 3. Build
100%
Stage 4. Collection
80%
Stage 5. Process
90%
Stage 6. Analysis
100%
Stage 7. Dissemination
80%
Stage 8. Evaluation
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
1.1. Определение
потребностей в
информации
1.3.
1.10.
2.1. Проектирование1.1.
выходного продукта
1.2. Обсуждение
1.4.
2.2. Разработка
1.5.
и подтверждение
описания показателей
потребностей
1.3. Постановка1.11.
целей и задач
наблюдения
1.4.
Идентификация
понятий
1.5. Исследование
доступности
данных
1.21.
Проектирование
1.6. Разработка
экономического
обоснования
2.3. Разработка
методологии сбора
данных
1.25.
3.1. Создание
1.2.
инструментов
сбора
3.2. Создание или
1.6.
совершенствов.
компонентов
процесса
3.3. Создание 1.12.
или
соверш.
компонентов
распространения
2.4. Проектирование
1.16.
3.4. Настройка
1.17.
границ совокупности и
рабочих процессов
методологии выборок
2.5. Создание1.20.
методологии
статистической
обработки
2.6. Проектирование
системы производства
и техпроцесса
Сбор данных
Обработка
Анализ
4.1. Формирование основы
выборки и
выборочной
совокупности
4.2. Разработка
1.7.
порядка сбора
данных
5.1. Ввод и
объединение данных
6.1. Подготовка
предварительных
результатов
5.2.Классификация и
кодирование
4.3. Проведение
сбора данных
5.3.Проверка, контроль
1.13.
и редактирование
4.4.Завершение
1.18.
сбора данных
3.5. Тестирование
системы
производства
3.6. Тестирование
статистического
бизнес-процесса
1.26.
5.4.Восстановление
(импутация) данных
5.5. Расчет новых
показателей и
статистических единиц
1.22.
3.7. Завершение
создания системы
производства
1.23.
1.24.
Создание
1.27.
Распространение
Оценка
7.1.Обновление систем
выходных данных
8.1.Сбор
материалов для
оценки
6.2. Контроль 1.8.
результатов
7.2.Производство1.9.
распространяемых
продуктов
8.2.Проведение
оценки
6.3.Интерпретация 1.14.
и
объяснение
выходных данных
7.3.Управление1.15.
выпуском
распространяемых
продуктов
8.3.Согласование
плана действий
1.
6.4. Контроль за1.19.
раскрытием
информации
6.5. Окончательное
оформление
результатов
7.4.Продвижение
распространяемой
продукции
7.5. Управление
запросами
потребителей
5.6. Расчет весов
5.7. Расчет
агрегированных
показателей
5.8. Формирование
конечных файлов
данных
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Stage 1. Specify needs
 Narrow range of reference
groups
 Increasing the number of
reference groups (civil society,
expert community, international
organizations)
 Lack of effective feedback
from users
 Reduction of the statistical
observation costs
 Growing needs of user
community
 Weak prioritization
Prioritization,
Needs analysis
 Improving feedback tools ("open
government“, Public Council,
Methodological Council, surveys
and forums)
 Regular forms review
 Strict prioritization
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Stage 2. Design
Development of the Observation Informational Basis,
Improvement of the Statistical Register
 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
Improvement of
quality of the
observations
information basis
 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
 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
New technological
opportunities, new
approaches, new
methodology
 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
 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
automatization
of processes
 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 socioeconomic statistics purposes
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Stage 5. Process
Classification system improvement
 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
systematization
harmonization
 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
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Russian and international socio-economic
classification
Russian Classification
Basic International Classification
Most 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)
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)
HS-2005
ICD-2011
Stage 5. Process
Data Editing and Imputation
 Developing for each survey a
separate module for data
editing and imputation
 Creating a common framework
for data collection and processing
on universal subsystem for
imputation and editing of primary
data
 Decentralized procedures of
data editing and imputation
 Lack of automated monitoring
of compliance with editing
technology and data
imputation
unification
control increase
 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
 Unified Interagency Information
Statistics System (UIISS)
 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
 Metadata dissemination; SDMX
standard application
New technological
possibilities, new
approaches
 New features of Rosstat
integrated/combined Internetportal
 “Open data" format
 Opening the data for researchers
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Stage 8. Evaluation
 Lack of the systematic approach for
the agreed evaluation action plan
 Approved regulations system aimed to
ensure and manage quality
 Lack of clear link between the
evaluation stage and other stages
 Only some measures on the survey
quality have been introduced (selfevaluation of an organization and
statistical observation quality ,
evaluation of a user satisfaction by
statistical information)
Evaluation
improvement
planning
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!
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