Big data to predict malaysia's digital economy

المؤلف

Yunus, Dalia

المصدر

Asian Perspectives

العدد

المجلد 6، العدد 10 (30 سبتمبر/أيلول 2022)، ص ص. 13-27، 15ص.

الناشر

الهيئة العامة للاستعلامات

تاريخ النشر

2022-09-30

دولة النشر

مصر

عدد الصفحات

15

التخصصات الرئيسية

العلوم السياسية

الموضوعات

الملخص 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.

نمط استشهاد جمعية علماء النفس الأمريكية (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

نمط استشهاد الجمعية الأمريكية للغات الحديثة (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

نمط استشهاد الجمعية الطبية الأمريكية (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

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

-

رقم السجل

BIM-1456042