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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

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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

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Identification of needs

Design

Build

Collection

Process

Analyse

Deliver and dissemination

Data archiving

Data protection

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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

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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

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INSTITUTIONAL LEVEL

QUALITY MANAGER PROCESS MANAGER

INDUSTRIAL LEVEL

INDUSTRIAL QUALITY MANAGER

LEVEL OF SURVEYS MANAGER FORSURVEY CONDUCTING

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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

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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