Post on 01-Jan-2016
description
transcript
1
MODERNIZATION OF BELARUSIAN STATISTICS MODERNIZATION OF BELARUSIAN STATISTICS __________________________________________________________________________________________________
IMPLEMENTATION OF THE PROCESS IMPLEMENTATION OF THE PROCESS APPROACH IN ORGANIZING THE APPROACH IN ORGANIZING THE
STATISTICAL PRODUCTIONSTATISTICAL PRODUCTION
Irina KostevichNational Statistical CommitteeNational Statistical Committeeof the Republic of Belarusof the Republic of Belarus 10-12 June 2014, Nizhny Novgorod, Russia
PROBLEM
System of “chimneys”
Industry Statistics
Labour Statistics
Price Statistics
Trade Statistics
10-12 June 2014, Nizhny Novgorod, Russia
BACKGROUND ON THE NATIONAL MODEL BUILDING
CHANGING users requirements
REDUCTION in number of employees
statistical system STRUCTURE
OPTIMIZATION
NEED FOR STANDARDIZATION OF STATISTICAL PROCESSES
CREATION OF A PROCESS-ORIENTED MODEL of statistical production
4
Everything that is STANDARDIZED, could be
MEASURABLE, and consequently, MANAGED
AND EXECUTED
EMPHASES
• building process-oriented model of statistical activity
• documentation and standardization of all statistical production processes
• defining process managers
• commitment to quality of products and processes
10-12 June 2014, Nizhny Novgorod, Russia
PROCESS-ORIENTED MODEL is necessary for everyone!
For specialist FUNCTIONS
TRANSPARENCY AND CLARITY
For manager QUALITY MANAGEMENT TOOLS
PLAN, MEASURE,ANALYZE,IMPROVE,REALLOCATE
February February 2014 – 2014 – pilot surveys descriptionpilot surveys description
Labour statistics Industry Statistics
10-12 June 2014, Nizhny Novgorod, Russia
Use the GSBPM 5.0 to describe the existing statistical production processes
Results:
Identification of gapsgaps in the existing processes
10-12 June 2014, Nizhny Novgorod, Russia
LackLack of necessary documentation
Existence of unsettled unsettled processes
9
Identification of needs
Design
Build
Collection
Process
Analyse
Deliver and dissemination
Data archiving
Data protection
1
2
3
4
5
6
7
8
9
10
National Statistical Production Model
EvaluationEvaluation
FEATURES OF THE BELARUSIAN STATISTICAL PRODUCTION PROCESS-ORIENTED MODEL
4.Collection
5.Process
6.Analyze
7. Deliver and
dissemination
8. Data protection
9. Data archiving
PROCESS-ORIENTED MODEL OF STATISTICAL PRODUCTION OF BELARUS
1.
Specify needs
2.Develop and
design
3.Build
4.Collect
5.Process
6.Analyze
7.Deliver and Disseminate
10.Evaluate
2.1. specify composition of statistical indicators, develop the methodology of their formation
3.1. build primary statistical data collection tools
5.1. integrate data 6.1.prepare
preliminary results (calculate additional indicators)
7.1. produce statistical publications
10.1. gather evaluation inputs
1.2. establish objectives
2.2. specify the list of statistical classifications and nomenclatures
3.2. build or enhance data processing technology
4.2. acquire administrative data
6.2. control and interpret the results
7.2. update geographical database, BMB, BM
1.3. check data availability
2.3. design aggregate limits and sampling methodology
3.3. build or enhance software and hardware facilities, test them
10.2. conduct evaluation
4.3. finalize primary data collection (input, code, completeness)
5.3. calculate weights 7.3. manage official
statistical data dissemination
10.3. develop and agree further action plan
1.4. develop grounding for implementation of new statistical monitoring
2.4. develop and test statistical tools 3.4. build tools for
dissemination of official statistical information
6.3. disclosure control 7.4. promote
disseminated products
5.4. derive basic aggregated data
2.5. approve statistical tools
5.5. control aggregated data
6.5. finalize and approve outputs
7.5. manage customer queries
2.6. design and approve technical process of statistical production
3.5. finalize production system
5.2. control and revise data
4.1. collect primary statistical data
1.1. Analyze and specify the users’ needs
8. Data protection
9. Data archiving
STATISTICAL PRODUCTION QUALITY MANAGEMENT
1.5. define competence for organizing and carrying out statistical monitoring
PROCESS APPROACH
PROCESSES
Defining MANAGER –
THE PROCESS HOST
Building of PROCESS MANAGERS TEAM
SURVEYS
DefiningMANAGER FOR
SURVEY CONDUCTING
Building ofSURVEY MANAGERS TEAM
10-12 June 2014, Nizhny Novgorod, Russia
13
INSTITUTIONAL LEVEL
QUALITY MANAGER PROCESS MANAGER
INDUSTRIAL LEVEL
INDUSTRIAL QUALITY MANAGER
LEVEL OF SURVEYS MANAGER FORSURVEY CONDUCTING
14
REGULATIONS for a process (documented description of every process)
SURVEY Process model
Guidelines on process model (Regulations’ handbook)
SUPPOSED EFFICIENCY
10-12 June 2014, Nizhny Novgorod, Russia
DEFINITION of clear responsibility limits of managers and specialists
OPTIMIZATION of labor force and costs
DEFINITION of problematic issues and high cost processes
FORECASTING of performance results
QUALITY MANAGEMENT SYSTEM
10-12 June 2014, Nizhny Novgorod, Russia
Quality management of resources and processes, building efficient production
Good guide for future steps of development
Guarantee for increasing confidence in statistics
Organization image
Process-oriented model of statistical production and quality management system is:
PURPOSE – TO IMPLEMENT IT AND MAKE IT WORK!
• AN INNOVATION in Belarusian statistics
• A MODEL, which can dramatically increase performance efficiency, data and services quality
• our GROWTH MODEL
18
MODERN MANAGEMENT in STATISTICS
TO SATISFY A USER
WITH HIGH QUALITY OF DATA
and SERVICES
TO ENSURE THE BUDGETARY
FUNDS AN EFFICIENT USE
TO ENSURE OPTIMAL
RESPONSE BURDEN
TO ENSURE THE HUMAN
RESOURCES AN EFFICIENT USE
RESULT, SATISFACTION AND INTEREST
Вопросы?Вопросы?
THANK YOU FOR YOUR THANK YOU FOR YOUR ATTENTIONATTENTION
10-12 June 2014, Nizhny Novgorod, Russia