Asia-Pacific Economic Statistics Week

Enormous Success of

Monthly Manufacturing Online Survey

Through National Enterprise-Wide

Statistical Systems (NEWSS) Framework

Sabri Bin Omar and Nurul Effa Ahmad

Department of Statistics Malaysia

Asia-Pacific Economic Statistics Week

Research Question And Scope Of Study

• Research Question:

How NEWSS Framework support the

implementation of Monthly Manufacturing (MM)

Online Survey

• Scope of Study

i. NEWSS architecture, functions and features

ii. The trend of online e-Survey for years 2013 -2016

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Asia-Pacific Economic Statistics Week

Methodology

1. Generic Statistical Business Process Model

(GSBPM)

2. Cut Off Sampling Method

3. Probability Sampling Method

4. System Development Life Cycle (SDLC)

3

Asia-Pacific Economic Statistics Week 4

Findings:

1. Management of Survey Modernization

Method Year

Started

e-Survey 2011

Computer Assisted Telephone Interview

(CATI)

2013

Computer Assisted Personal Interview

(CAPI)

2008

Asia-Pacific Economic Statistics Week 5

Findings:

2. List of e-Survey Systems Implemented in

DOSM 2011 - current

1. Monthly Manufacturing Survey (MM)

2. Monthly Distributive Trade Survey (MDT)

3. Quarterly Construction Survey (QCS)

4. Quarterly Employment Survey (eJobCreation)

5. Survey of International Trade in Services (ITS)

6. Quarterly Survey of Services (QSS)

Asia-Pacific Economic Statistics Week

STAKEHOLDER PUBLIC INTERNATIONAL

GIS

1GOV*NET

DISSEMINATE 7 DOSM

Visualization StatsDW StatsBDA

Portal Multimedia Email mySMS

HEAD QUARTER DC MYLOCA DC ILSM DC STATES SERVER ROOMS NETWORK ROOMS & ICT OPERATION OFFICE

• Feasibility studies

• Edit Spec

SPECIFY NEEDS

1

• Design tools eg Ms Office

DESIGN

2

•Freehand

BUILD

3

COLLECT

4

•e-Survey •Online Data – ICR – CAPI – CATI

PROCESS

5

• NEWSS • Office Automation

• Mobile App • Economic Sector

• Social Sector

•SAS •SPSS •eView •Stata •MS Excel •StatsBDA

ANALYSE

6

• Manual

EVALUATE

8

GATEWAY

APPLICATION - GSBPM

DATA CENTER (DC)

INFRA & SECURITY

USER

ARCHIVE- StatsDW

6

Findings:

3. DOSM ICT Framework

Asia-Pacific Economic Statistics Week 7

Findings:

3. DOSM ICT Framework

1. guideline to the system development in DOSM.

2. to ensure conformance to applications

development standards and

methodologies especially the selection of

programming language and ICT tools.

3. to minimise the adoption of various type of

software in order to produce highly skill,

competent and knowledgeable ICT personnel in

specialised software.

8

Findings:

4. NEWSS Framework

e-Services

Asia-Pacific Economic Statistics Week

NO. ELEMENT DESCRIPTION METHOD

1 Confidentiality Data can not be disclosed

or accessed without

authorization.

Encryption, password

2 Validation Data and information is

authentic.

fullfil the edit specification

requirement

3 Integrity Data and information is

accurate, complete and

current

fullfil the edit specification

requirement

4 Availability Data and information can

be accessed around the

clock (24x7).

Server and network

environment meet the

system requirements

9

Findings:

5. Security Element and Pre-requisite of

e-Survey

Asia-Pacific Economic Statistics Week 10

NO. ELEMEN KETERANGAN KAEDAH

5 Security Data is protected from

the invasion

• Using Secured Socket Layer

(SSL) - https: //

• Security scan using

Acunetix

6 Questionaire A short and simple

questions

User-friendly and there is a

pop-up guide.

7 Access and

Transactions

System that is stable

and transactions is

secured.

Installation of load-balancer

server and ICT security

appliance.

8 Respondents'

readiness

Awareness and

acceptance of the use

of ICT by the

respondent.

Online user manual when

filling the questionnaire e-

Survey.

Findings:

5. Security Element and Pre-requisite of

e-Survey

Asia-Pacific Economic Statistics Week

Findings:

6. Monthly Manufacturing (MM) Online

Survey

• Why MM e-Survey?

• Accessible to the system at any time it

deems appropriate

• Database update near to real time

• Reduce cost of field work

• Enhanced security

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Asia-Pacific Economic Statistics Week 12

Findings:

7. Number of e-Survey and Electronic

Media Respondents

Years Total Samples

Registered e-Survey

Respondent

New Registered e-Survey

Respondent

Total Registered

Electronic Medium

(Email , Fax &

Telephone)

Total e-Survey & Electronic

s

%

2013 4,388 1,752 378 2,130 1,737 3,867 88.1 2014 5,217 1,570 241 2,371 1,742 4,113 78.8 2015 5,097 1,124 129 2,500 1,761 4,261 83.6 2016 5,044 1,599 113 2,613 2,330 4,943 98.0

Total respondents for e-Survey and electronic media

increase every year. However, new registered have

decreased

Asia-Pacific Economic Statistics Week 13

Findings:

8. Growth Year on Year for Registered e-

Survey Respondents 48.5

34.7

24.6

33.9

0

10

20

30

40

50

60

2013 2014 2015 2016 G

row

th Y

oY

(%

)

Year

Years Total

Samples

Total Registered e-

Survey Respondent

Growth YoY

(%)

2013 4,388 2,130 48.5

2014 5,217 2,371 34.7

2015 5,097 2,500 24.6

2016 5,044 2,613 33.9

Registered e-Survey

respondent decreased

in 2015 due to the

changes of sample

selection method

Asia-Pacific Economic Statistics Week 14

Findings:

9. Growth Year on Year for Electronic Media

Respondents

39.6 33.4 34.5

46.2

0

10

20

30

40

50

2013 2014 2015 2016 G

row

th Y

oY

(%

) Year

Years Total Samples Electronic Medium

(Email , Fax & Telephone)

Growth YoY (%)

2013 4,388 1,737 39.6

2014 5,217 1,742 33.4

2015 5,097 1,761 34.5

2016 5,044 2,330 46.2

Asia-Pacific Economic Statistics Week 15

Findings:

10. MM e-Survey Features in NEWSS

Framework

1. Verification on respondent registration

2. Notification Email

3. Validation of Responses

4. System Sync and Update Near Real Time

5. Export Function

6. Security Features

16

Findings:

11. NEWSS to DOSM Data Warehouse…

Micro Data

Aggregated

Data

Historical

Data (Micro &

Aggregate)

Data Governance,

Data Integration

(ETL)

Data Profiling

& Data

Quality

Data Migration,

Data Integration

(ETL)

Enterprise Data

Warehouse (EDW)

Operational Data

Store

Data Warehouse

Appliance

Visualization

Location

Intelligence

Analytics

Time

Series

Lab

eDataBank

Mobile

Data Sources

(NEWSS & Others)

Commercial

Student

Public

Stakeholders

DOSM

Researcher

Modules Users

Historical

Publication

17

Commercial

Student

DOSM

Researcher

Existing DW

Appliance

(Netezza)

Enterprise

Data

Warehouse

(EDW)

Existing ODS

(IBM DB2 Blu)

Applications

Internal &

External Portal

Data Management &

Data Integration Data Sources

MSBR

External Trade

Proposed Big Data

Appliance

(Server, Software)

Exploration, Analysis

& Location Analytics

Visualizati

ons &

Predictive

Analytics

Navigation,

Discovery &

Pre Selection

Table

Historical

Media/Files/Image

Data

Standardization

& Text Matching

Data Integration

End

Users

StatsBDA

Appliance

Pro

po

se

d D

ata

Sta

nd

ard

iza

tio

n &

Te

xt

Ma

tch

ing

To

ols

Ex

isti

ng

SA

S V

A &

VS

,SA

S/E

TS

, S

AS

/EG

,

Mic

roS

trate

gy, T

ab

leau

Pro

po

se

d A

dva

nce

d A

naly

tics

To

ols

Customs

Data Origin

Other

National

Statistics

Stake-

holders

Public

Findings:

12. NEWSS to DOSM Big Data Analytics…

Asia-Pacific Economic Statistics Week

Remaining issues/further research

1. Framework Scalability - Mobile Access

According to IDC, Nov 2015 – The top technology prediction for

2016 is mainly on Digital Transformation (DX) using technologies

such as mobile, cloud, big data analytics, IoT, AI and robotics. By

2020, almost 50% of IT budgets will be tied into DX initiatives and by

2017, over 50% of IT spending will be for new technologies (mobile,

cloud, big data, etc.).

2. Improve Visual Design - easier for respondents to complete the

survey

3. Awareness to electronic media respondent to use e-Survey

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Asia-Pacific Economic Statistics Week 19