Big data for measuring and achieving the 2030 agenda for sustainable development goals in Malaysia / Dr. Mohd Uzir Mahidin

Mahidin, Mohd Uzir (2016) Big data for measuring and achieving the 2030 agenda for sustainable development goals in Malaysia / Dr. Mohd Uzir Mahidin. In: Persidangan Kebangsaan Mengenai Kependudukan dan Matlamat Pembangunan Lestari, 20 July 2016, Dewan Perdana Nur, KPWKM. (Unpublished)

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Abstract

The 2030 Agenda for Sustainable Development is a Universal plan of action for people, planet and prosperity. The Sustainable Development Goals (SDGs) have set 17 goals and 169 related targets to be achieved by 2030. In Malaysia, the current development plan that is 11th Malaysia Plan 2016-2020, was formulated with People as the centerpiece of all development efforts, in many aspects mirrors the multi-dimensional nature of the SDGs and will serve as an overarching and guiding policy for sustainable development. 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.

Item Type: Conference or Workshop Item (Paper)
Additional Information: 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.
Keywords: sustainable development goal, big data, SDGs indicators, big data analytics
Subjects: 300 Social sciences > 305 Social groups
Division/Agency/State: LPPKN - National Population and Family Development Board, Malaysia > Division of Population
Deposited By: Mrs Nor Azaian Abdullah
Deposited On: 28 Jul 2016 08:16
Last Modified: 28 Jul 2016 08:17
URI: http://familyrepository.lppkn.gov.my/id/eprint/593

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