Genera

l statistic o

ffice

Vie

tnam

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

Email: dnha@gso.gov.vn

2

Genera

l statistic o

ffice

Vie

tnam

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

3

Genera

l statistic o

ffice

Vie

tnam

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

4

Genera

l statistic o

ffice

Vie

tnam

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

5

Genera

l statistic o

ffice

Vie

tnam

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 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

6

Genera

l statistic o

ffice

Vie

tnam

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

7

Genera

l statistic o

ffice

Vie

tnam

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 dataCalculate

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

trainingInput data

8

Genera

l statistic o

ffice

Vie

tnam

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;

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.

9

Genera

l statistic o

ffice

Vie

tnam

10

Genera

l statistic o

ffice

Vie

tnam

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

11

Genera

l statistic o

ffice

Vie

tnam

12

Genera

l statistic o

ffice

Vie

tnam

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.

13

Identify needs

Prepare collection

Data collection

Data processing

Data analysis

Information

dissemination

Archive

13

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

Begin

Finish

14

Genera

l statistic o

ffice

Vie

tnam

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

15

Genera

l statistic o

ffice

Vie

tnam

TECHNOLOGY ARCHITECTURE (TA) DEVELOPMENT

Technical Reference Model (TRM): defines the group of standards and technologies

16

Genera

l statistic o

ffice

Vie

tnam

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.

17

Genera

l statistic o

ffice

Vie

tnam

CẢM ƠN BẠN