APPLIED GENERAL STATISTICAL BUSINESS PROCESS MODEL (GSBPM) IN GSO VIET NAM

02/12/2014
General statistic office Vietnam
APPLIED
GENERAL STATISTICAL
BUSINESS PROCESS MODEL
(GSBPM) IN GSO VIET NAM
by Ha Do
Statistical Standard Methodology and ITC
Department
General Statistics Office (GSO)Vietnam
Email: [email protected]
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CONTENT
Introduction
 Develop Enterprise architecture (EA) for GSO

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Business architecture development: Applied GSBPM
in GSO
 Information architecture development


Build application
Application architecture development
 Technology architecture development


Findings and conclusions
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INTRODUCTION
Vertical structure: consistent statistical
management from central to local levels: 63
PSOs, 708 District statistics offices
 Statistical data source: reporting regimes, sample
surveys/Census, administrative records.
 GSO conducts around 40 surveys every year
 Methodology and standard are concerned in all
surveys. International standards were applied:
ISIC(VSIC), HS…
 Metadata was built but separated in each domain
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LIMITATIONS
Each department has its own collection methods
and no standardized data between survey forms
 The system of classifications is the weakest
element among statistical tools for the
development of data production, dissemination
and analysis
 Lack of systematic process to integrate data
across GSO departments
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BUSINESS ARCHITECTURE DEVELOPMENT BA(APPLIED GSBPM FOR GSO)
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Following “Vietnam Statistical Development Strategy
2011-2020 and Vision to 2030”. In 2011, GSO had a
bidding package to build Enterprise Architecture (EA)
under support of WB; EA was applied basing on OIO
framework to built
BA – business architecture,
IA – information architecture,
 TA – technical architecture and
 AA - application architecture



Follow four strategies:
(i) Metadata-Driven Statistical Production;
(ii) One Centralized Virtual Database;
 (iii) Synchronized Data Collection;
 (iv) Intelligent Statistical Analysis and Modeling
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BUSINESS ARCHITECTURE DEVELOPMENT BA(APPLIED GSBPM IN GSO) CONT.
Current statistical processes are quite similar
across all departments and consists 5 steps: (1)
Survey Preparation / Formulation; (2) Data
Collection; (3) Data Processing; (4) Data
Analysis; (5) Information Dissemination.
 Reference: Eurostat SBPM version
 Designed for all surveys in National survey
program
 Next phase, the model is reviewing for all other
resources
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GSO SBPM
Quality management/ Metadata management
Identify needs
Prepare collection
Data collection
Data processing
Collect and consolidate information needs, check available information Develop survey plan* Interview for data collection
Perform data cleaning and verification
Identify information need to be collected Build metadata
Correct data
Calculate and integrate data
Calculate report
Review publishing report
Conduct evaluation of process
Code and classify data
Calculate weight
Verify survey result
Publish statistical product Conduct evaluation of end users
Review survey plan
Consolidate collected data
Conduct survey training
Input data
Information dissemination
Analyse Draft publishing entire survey report
data
Archive
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Develop survey Create output sample frame*
template
Data analysis
Restore survey data*
Produce final report
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 Step
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1.3 Develop survey sample frame:
identify
objective
and
scope
of
information, sampling design;
 Step
2.1 Develop survey plan –survey
methodologies;
design
questionnaire,
choose the data collection method; build
resource
plan
(finance,
human,
equipment), checking and supervisory
plans, pilot if any;
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Step 7.1 Restore survey data: except restore
survey data after data entry, process and
analysis step; purpose to categorize data and
build data warehouse to support to search
statistical information, this step also digitalizes
statistical information in document format by
using Data Document Initiative - DDI protocol.
The questionnaires of several surveys were
digitalize when the data entry is used scanning
technology.
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INFORMATION AND IT ARCHITECTURE
DEVELOPMENT - IA:

Situation
Statistic information is owner in different
department
 Statistic information was supported by more than 35
silo applications and many of them execute similar
sets of business processes
 No integration between applications

Solution
Needs to be standardized, centralized and follows
unique information flow under GSBPM
 Metadata-driven
 A configurable workspace application: interface to
just ONE GSO IT system
 Reference methodology: GSIM
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APPLICATION ARCHITECTURE
DEVELOPMENT - AA

Three most significant important principles are:
(1) Open, service-oriented Application Architecture;
 (2) Meta-data driven;
 (3) One Centralized Virtual Database

GSO built the System of statistic information
collection (SSIC) and Statistical Hub (SH)
application to support all steps in the GSBPM.
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Metadata
Identify
needs
Prepare
metadata for
survey
IT Center
Prepare data
model
Prepare
collection
Data
processing
Data
collection
Prepare
system
performance
Consolidate
collected data
Departmen
t
Design data
input form
Transfer to
data model
Transfer data
to SH
Approve survey
plan
Update
data mart
Transfer data
ETL2
Create OLAP
Cube
Restore
data
Create
report
Public
report
Data entry
PSO
Archive
Begin
data
Build survey
plan
Informatio
n
disseminati
on
Data
analysis
Finish
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
SSIC supports three first steps:
Identify needs (accept metadata management, that is done in
SH and integrated with SSIC)
 Prepare collection
 Data collection

SH supports four last steps:
Data processing
Data analysis
 Information dissemination
 Archive
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

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Database is centralized
Easily build data input form, data entry is online
Support statistician share data between domains,
departments
Publicize report (OLAP Cube) directly through intranet
portal
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TECHNOLOGY ARCHITECTURE (TA)
DEVELOPMENT

Technical Reference Model (TRM): defines the
group of standards and technologies
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FINDINGS AND CONCLUSIONS
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Establish the Core team include key persons from all
different statistical departments who understand
current business process to give situation and
problem need to be improved.
Choose the Model as reference and customize: 2010,
we chose Eurostat GSBMP. International Version 5.0
was released in 2013
Request to have an application support all main steps
of GSBPM to keep unique business process between
different domains and different departments.
Standardize the statistical data is the focus of work
and takes time.
Metadata-driven is the key to connect all components
and statistical indicators that allows to share data
and communicate more easily.
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CẢM ƠN BẠN
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