A Big Data Analytics Framework to Improve Financial Inclusion's Usability | ||||
| المجلة العلمية للبØوث والدراسات التجارية | ||||
| Volume 39, Issue 2, June 2025, Page 1775-1809 PDF (802.32 K) | ||||
| Document Type: المقالة الأصلية | ||||
| DOI: 10.21608/sjrbs.2025.338481.1829 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
هدي اسماعيل  1; اØمد ابراهيم بهجت السداوي2; Ø£Øمد جمال عليش3
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| 1نظم المعلومات كليه تجاره جامعه Øلوان | ||||
| 2الاكاديمية العربية للعلوم والتكنولوجيا والنقل البØري | ||||
| 3الاقتصاد Ùˆ التجارة الخارجية ØŒ جامعة Øلوان | ||||
| Abstract | ||||
| The significant portion of the population that lacks access to formal banking services represents a serious challenge to most developing countries, especially in achieving both social and economic development goals. For that, enhancing financial inclusion has become a critical objective for fostering equitable economic growth. By facilitating access to financial systems for all individuals, this will ensure financial inclusion help to reduce income disparity, particularly between affluent and economically disadvantaged groups, as well as boosting capital flows into and between the different economy sectors. This paper explores the essential role of financial inclusion in driving economic growth and examines the various variables that should be considered more by financial institutions in prediction of targeted different segments attraction factors successfully. And, we examined the accuracy of chosen algorithms of prediction to optimize the decisions relating to achieving better benefits for all related parts in the economy, ranging from government agencies to financial institutions and individuals. | ||||
| Keywords | ||||
| Big Data Analytics (BDA); Digital Banking; Financial Inclusion; Financial Services; Insurance | ||||
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