Big Data to predict Malaysia’s Digital Economy | ||||
| آفاق آسيوية | ||||
| Volume 6, Issue 10, October 2022, Page 13-28 PDF (334.72 K) | ||||
| Document Type: البحوث | ||||
| DOI: 10.21608/sis.2022.179324.1071 | ||||
 View on SCiNiTO | ||||
| Author | ||||
Dalia Younis Younis 
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| Arab Academy of Science Technology - And Maritime Transport (AASTMT) - Egypt | ||||
| Abstract | ||||
| The big data economy is one of the most important phenomena of our time. The phenomenon is related to the production of a large stream of data from a variety of sources, and the analysis of this huge data to provide important insights to make better decisions and achieve an optimal economy. This paper attempts to assess the willingness of Malaysian companies to benefit from big data using the Enterprise Business Intelligence Maturity Model (EBIMM) as an assessment tool. Data were collected from a large-scale Malaysian institution using the EBIMM questionnaire. The results indicated that Malaysian companies are relatively ready for the big data economy. Up to 94% of organizations surveyed have reached a specified maturity level and have a decent level of capabilities and competencies to benefit from big data analytics. However, none of the organizations have reached the level of improvement, indicating the need for more investments in technology, talent and culture to enable Malaysia to become the regional hub for big data analytics. | ||||
| Keywords | ||||
| Data; Malaysia; Digital; Economy | ||||
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