Transcript MODERNIZATION OF BELARUSIAN STATISTICS _________________________________________________ IMPLEMENTATION OF THE PROCESS APPROACH IN ORGANIZING THE STATISTICAL PRODUCTION Irina Kostevich National Statistical Committee of the Republic of Belarus 10-12 June 2014,

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