applied gsbpm in gso

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APPLIED GSBPM IN GSO by Ha Do Statistical Standard Methodology and ITC Department General Statistic Office Vietnam 1 G e n e r a l s t a t i s t i c o f f i c e V i e t n a m

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APPLIED GSBPM IN GSO. by Ha Do Statistical Standard Methodology and ITC Department General Statistic Office Vietnam. Content. Introduction Develop Enterprise architecture (EA) for GSO Business architecture development: Applied GSBPM for GSO Information architecture development - PowerPoint PPT Presentation

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Page 1: APPLIED GSBPM IN GSO

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APPLIED GSBPM IN GSO

by Ha Do

Statistical Standard Methodology and ITC Department

General Statistic Office Vietnam

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CONTENT

Introduction Develop Enterprise architecture (EA) for GSO

Business architecture development: Applied GSBPM for 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, 771 District statistic offices

Statistic data source: reporting regimes, sample surveys, 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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LIMITED

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)

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 FOR 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 resouces

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GSO SBPMQuality management/ Metadata management

Identify needs Prepare collection Data collection Data processing Data analysis Information

dissemination Archive

Identidy output indicators

Develop survey plan

Interview for data collection

Perform data cleaning and verification

Analyse entire survey data

Draft publishing report

Restore survey data

Design questionnaire 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

resultPublish 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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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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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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Identify needs

Prepare collection

Data collection

Data processing

Data analysis

Information

dissemination

Archive

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Prepare metadata for

survey

Prepare data model

Build survey plan

Design data input form

Approve survey plan

Prepare system

performance

Data entry

Consolidate collected

data

data

Transfer data to SH

Transfer to data model

Update data mart

Transfer data ETL2

Create OLAP Cube

Create report

Public report

IT C

en

ter

Meta

data

Depart

me

nt

PSO

Restore data

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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 standards and technologies

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FINDING AND CONCLUSION Establish the Core team include key persons from all

difference 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 union business process between difference domains and difference 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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THANK YOU!