1. 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
General statistic office Vietnam

2. Content Introduction Develop Enterprise architecture (EA) for GSO
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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3. 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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4. 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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5. Business architecture development - BA(Applied GSBPM for GSO)
Following “Vietnam Statistical Development Strategy 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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6. 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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7. Quality management/ Metadata management Information dissemination
GSO SBPM
Quality management/ Metadata management
Identify needs
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
Produce final report
Conduct survey training
Input data
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8. Step 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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9. 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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10. 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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11. General statistic office Vietnam

12. 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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13. Information dissemination
Identify needs
Prepare collection
Data collection
Data processing
Data analysis
Information dissemination
Archive
Metadata
Prepare metadata for survey
Begin
IT Center
Prepare data model
Prepare system performance
Consolidate collected data
Transfer data
to SH
Transfer to data model
Update
data mart
Transfer data ETL2
data
Create OLAP Cube
Restore
data
Finish
Department
Build survey
plan
Design data input form
Approve survey plan
Create
report
Public
report
PSO
Data entry 13

14. 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
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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15. Technology architecture (TA) development
Technical Reference Model (TRM): defines the group of standards and technologies
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16. Findings and conclusions
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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17. CẢM ƠN BẠN
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