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This is a Quantitative Study study.

September 19, 2025The American Journal of Interdisciplinary Innovations and Research

Analyzing Financial Inclusion and Credit Access in Underserved Communities with Interactive Analytics Dashboards

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Authors

MIMd Saiful IslamTrine University MMMohammad Rasel MiahUniversity of the Potomac

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Implication

This analysis demonstrates diverse credit demand and financial needs in underserved communities, highlighting the role of data-driven tools in addressing disparities.

Key Points

The study shows that credit demand is diverse across areas like personal and business loans, indicating varied financial needs among underserved communities.
Using interactive dashboards, the research equips stakeholders with insights into borrowers' preferences and habits, fostering inclusive lending practices.
Through data visualization and predictive analysis, complex financial data is made clearer, aiding decision-making for policymakers and financial institutions.
Machine learning techniques enhance loan risk evaluation, helping anticipate defaults and create effective models for credit distribution.

Cite This Study

Islam et al. (2025) studied this question.

synapsesocial.com/papers/68d464ff31b076d99fa649fd https://doi.org/10.37547/tajiir/volume07issue09-02

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Implication

This analysis demonstrates diverse credit demand and financial needs in underserved communities, highlighting the role of data-driven tools in addressing disparities.

Analyzing Financial Inclusion and Credit Access in Underserved Communities with Interactive Analytics Dashboards

Discussion

Member takes

Implication

Key Points

Cite This Study

Analyzing Financial Inclusion and Credit Access in Underserved Communities with Interactive Analytics Dashboards

Discussion

Member takes

Implication

Key Points

Cite This Study

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