The%20Generic%20Statistical%20Business%20Process%20Model%20application%20in%20the%20Russian%20statistical%20practice

1
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
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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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Rosstat System
Central Executive Office in Moscow The head of Rosstat, 6 Deputies, 18 departments, more than 600 state 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
Information publishing center Statistics of Russia 20 employees
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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
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
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Stage 1. Specify needs

• 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

Prioritization, Needs analysis
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Stage 2. DesignDevelopment 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
• 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

Improvement of quality of the observations
information basis
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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
• 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

New technological opportunities, new approaches,
new methodology
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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 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

Centralization automatization of processes
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Stage 5. ProcessClassification 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
• 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

systematization harmonization
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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 (????? 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 (????) The EU Industry-Specific Product Classification (???-2002) CPA-2008
Foreign Trade Commodity Classification of the Customs Union (?? ??? ??) The Harmonized Commodity Description and Coding System (HS-2004) HS-2005
All-Russian Classifier of Occupations (???) The International Standard Classification of Occupations (ISCO-88) ISCO-2008
All-Russian Classifier of Education Majors (????) 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
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Stage 5. ProcessData Editing and Imputation

• 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.

unification control increase
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Stages 6-7. Analysis and Dissemination Ensuring
confidentiality
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Stage 7. Dissemination

• 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

New technological possibilities, new approaches
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Stage 8. Evaluation

• 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

Evaluation improvement planning
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• Thank you for your attention!