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Big data for measuring and achieving the 2030 agenda for sustainable development goals in Malaysia
Item Type: Conference or Workshop Item
Editor:
Year: 00/00/2016
Abstract: 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.
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Balancing the three dimensions of sustainable development: from integration to implementation
Item Type: Newsletter
Editor:
Year: 00/00/2015
Abstract: Malaysia has been able to transform from a low-income economy in the 1970s to a high middle-income economy today. Parallel to the economic achievement, Malaysia has also achieved commendable success in terms of social progress. These achievements are in line with Malaysia’s commitment to place the wellbeing of the people as the priority of its development efforts. As such, the government is committed to protect the environmental quality of life and caring for the planet, while harnessing economic value from the process.
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