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DOSM Big Data Analytics Initiative

Updated: Sep 22, 2020




The Department of Statistics Malaysia (DOSM) is moving towards Big Data Analytics (BDA) in producing more reliable and timeliness official statistics. The objectives of the implementation of STATSBDA are:


(1) to modernise the data collection;

(2) to allow high accuracy;

(3) to reduce respondents’ burden;

(4) to use as supplements for existing data in production of certain statistics; and

(5) to produce new statistics indicators.


The overall landscape of STATSBDA project is focusing mainly on the project deliverables which are establishing big data infrastructure, development of STATSBDA modules and building skill sets in data science field. There are 5 modules develop in this project which are:


Trade By Enterprise Characteristic (TEC)

Integration of Malaysia Statistical Business Register (MSBR) with trade database in order to identify the enterprises that are engaged in international markets and what are their characteristics. Export Imports statistics by states is a new statistics generated from this module has been produced.


Price Intelligence (PI)

The modernization of data collection mainly consists of the adoption of web scraping techniques to scrape price data from related websites for Consumer Price Index (CPI) compilation and improving the quality of the data.


Public Maturity Assessment on Official Statistics (PMAOS) &

Real Time News on Official Statistics (RTOS)

The analysis and assessment of the degree of “happiness” of Malaysia community towards to official statistics published by DOSM through online social media.


Real Time Business Status (RTBS)

RTBS is part of STATSBDA initiative, will integrate data from companies Commission of Malaysia (CCM) to DOSM environment to enable the organization to have direct access of information of the business entities.


Statistics Classification (BizCode@Stats)

BizCode@Stats is Mobile application development for statistical code and classifications allow users to access the application via handheld devices.

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