Powerful Data. Valuable Result. Informative Decision
The Department of Statistics Malaysia (DOSM) is now moving towards Big Data Analytics (BDA) in producing more reliable and timeliness official statistics. Thus, DOSM has initiated the implementation of BDA with the project of STATSBDA which is in line with DOSM's Transformation Plan 2015-2020. The objectives of the implementation of STATSBDA are:
To modernise the data collection;
To allow high accuracy;
To reduce respondents’ burden;
To use as supplements for existing data in production of certain statistics; and
To produce new statistical indicators.
The overall landscape of STATSBDA project is focusing mainly on the project deliverables which are establishing big data infrastructure, development STATSBDA modules and building skill sets in data science field. This project focus supported by governance, assessment & evaluation, integration, promotion and business process re-engineering.
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.Read More
The modernization of data collection mainly consists of the adoption of web scrap- ing techniques to scrape price data from related website for Consumer Price Index (CPI) compilation and improving the quality of the data.Read More
The analysis and assessment of the degree of “happiness” of Malaysia community towards to official statistics published by DOSM through online social media.Read More
Real Time Business Status (RTBS) as part of STATSBDA initiative, will integrate data from companies Commission of Malaysia (CCM) to DOSM environ- ment to enable the organization to have direct access of information of the business entities.Read More
BizCode@Stats is Mobile application development for statistical code and classifications allow users to access the application via handheld devices.Read More
Data Science Lab is one of the initiatives under STATSBDA project. It will bring together Data Scientist, Statistician, Data Engineer and Researcher to collaborate ...