||Conference or Workshop Item
||300 Social sciences > 305 Social groups
||LPPKN - National Population and Family Development Board, Malaysia: Population and Family Research Division
||Sustainable development goal, Big data, SDGs indicators, Big data analytics
||1. National Population and Family Development Board (NPFDB) in collaboration with Population Studies Unit, Faculty of Economic and Administration, University of Malaya and United Nations and Population Fund(UNFPA);
2. Dr. Mohd Uzir Mahidin is a Deputy Chief Statistician (Social/Demography), Departments of Statistics Malaysia.
||The Sustainable Development Goals (SDGs) have set 17 goals and 169 related targets to be achieved by 2030. In line to support SDGs indicators, Big Data plays a pivotal role to achieve the aspiration by providing real time information and evidence-based decision making through the predictive analytics. Thus, Big Data Analytics (BDA) has become a top priority for Malaysia’s government and one of the key pillars for national ICT development under the 11th Malaysia Plan. In becoming a leading statistical agency internationally by 2020, DOSM has taken efforts to utilise big data to improvise outcome and produce a more comprehensive and quality services. DOSM is vital to ensure the statistical products and services are able to fulfil users’ expectations. In tandem with DOSM's Transformation Plan 2015-2020 and aiming to make the most of the fast-growing volume of digital data, DOSM has initiated the implementation of Big Data Analytics under the project of StatsBDA. This presentation aims to highlight DOSM’s experiences in constructing official statistics by using big data which is aligned to the 2030 Agenda for SDGs. In addition, we will also share on the issues and challenges faced by DOSM pertinent to utilising the Big Data.