Big data to predict malaysia's digital economy

Author

Yunus, Dalia

Source

Asian Perspectives

Issue

Vol. 6, Issue 10 (30 Sep. 2022), pp.13-27, 15 p.

Publisher

State Information Service

Publication Date

2022-09-30

Country of Publication

Egypt

No. of Pages

15

Main Subjects

Political Sciences

Topics

Abstract EN

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.

American Psychological Association (APA)

Yunus, Dalia. 2022. Big data to predict malaysia's digital economy. Asian Perspectives،Vol. 6, no. 10, pp.13-27.
https://search.emarefa.net/detail/BIM-1456042

Modern Language Association (MLA)

Yunus, Dalia. Big data to predict malaysia's digital economy. Asian Perspectives Vol. 6, no. 10 (Sep. 2022), pp.13-27.
https://search.emarefa.net/detail/BIM-1456042

American Medical Association (AMA)

Yunus, Dalia. Big data to predict malaysia's digital economy. Asian Perspectives. 2022. Vol. 6, no. 10, pp.13-27.
https://search.emarefa.net/detail/BIM-1456042

Data Type

Journal Articles

Language

English

Notes

-

Record ID

BIM-1456042