Abstract:

The 11th Malaysia Plan has emphasized leverage on data (data-driven) that can contribute to the strategic organizational values and be critical to the national transformation agenda. Hence, the government has announced the implementation of the Big Data Analytics (BDA) to support in making accurate decisions; innovation in government services and strategic priorities; system delivery of responsive services; greater agility and performance management. However, BDA still poses a lot of expostulation due to the unsubstantial link between analytics capabilities and core strategic performance. Furthermore, most BDA is incapable to rigorously analyze data since big datasets are generally asymmetrical to performance. Thus, this paper aims to uncover how government agencies should acquire BDA capabilities to succeed in their BD investment to advocate performance. The methodology this paper was employed includes review secondary sources about Malaysia's economic, social, and technology; sources about the BDA, organization performance, and government agencies; and sources about the Resource based Theory. The paper will contribute: theoretically, proposed an empirically based framework and practically, by recognizing the main areas of focus for BDA capability and OP and explaining the mechanisms through which they should be leveraged, this paper attempts to add to literature on how more effective data-driven analytics strategies to align the performance of government agencies. Notably, it can provide ideas to improve the performance in government agencies involved in implementing national development strategies, including strengthening administrative functions, social infrastructure and also superior performance of the economy in line with the National Key Result Areas and Industrial Revolution 4.0.