by Ha Do
Statistical Standard Methodology and ITC
Department
General Statistic Office Vietnam
Email: dnha@gso.gov.vn
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General statistic office Vietnam
APPLIED GSBPM IN GSO
CONTENT
Introduction
 Develop Enterprise architecture (EA) for GSO

General statistic office Vietnam
Business architecture development: Applied GSBPM
in GSO
 Information architecture development


Build application
Application architecture development
 Technology architecture development


Finding and conclusion
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INTRODUCTION
Vertical structure: consistent statistical
management from central to local levels: 63
PSOs, 708 District statistic offices
 Statistic data source: reporting regimes, sample
surveys/Census, administrative records.
 GSO conduct 43 surveys every year
 Methodology and standard are concern in all
surveys. International standards were applied:
ISIC(VSIC), HS…
 Metadata was built but separate 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 supported of WB; EA was applied base 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 will be reviewing for all
other resources

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GSO SBPM
Quality management/ Metadata management
Prepare
collection
Data
collection
Data
processing
Data analysis
Information
dissemination
Archive
Collect and
consolidate
information
needs, check
available
information
Develop
survey plan*
Interview for
data
collection
Perform data
cleaning and
verification
Analyse
entire survey
data
Draft publishing
report
Restore
survey data*
Identify
information
need to be
collected
Build
metadata
Correct data
Calculate and
integrate data
Calculate
report
Review
publishing
report
Conduct
evaluation of
process
Develop survey
sample frame*
Create output
template
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
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Identify needs
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; built
resource
plan
(finance,
human,
equipment), checking and supervisory
plans, pilot if any;
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
General statistic office Vietnam
Step 7.1 Restore survey data: except restore
survey data after data entry and process,
analysis step; purpose to category 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 difference
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 follow
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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

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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 supported all step in the GSBPM.
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
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IT Center
Departmen
t
Data
processing
Data
collection
Informatio
n
disseminati
on
Data
analysis
Archive
Prepare
metadata for
survey
Prepare data
model
PSO
Prepare
collection
Prepare
system
performance
Consolidate
collected data
data
Build survey
plan
Design data
input form
Data entry
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
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Metadata
Identify
needs
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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 fourth last steps:
Data processing
 Data analysis
 Information dissemination
 Archive





Database is centralizes
Easily build data input form, data entry is online
Support statistician share data between domains,
departments
Public 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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FINDING AND CONCLUSION




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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 improve.
Choose the Model as reference and customize: 2010,
we choose Eurostat GSBMP. International Version
5.0 was released in 2013
Request to have an application support all main step
of GSBPM to keep unique business process between
different domains and different departments.
Standardize the statistic data is the focus of work and
takes time.
Metadata-driven is the key to connect all component
and statistic indicators that allows to share data and
communicate more easily.
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General statistic office Vietnam
THANK YOU!
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