Author(s)
Mr. Janak Maru , Dr. Kairvi Rathod
- Manuscript ID: 140043
- Volume: 1
- Issue: 1
- Pages: 212–225
Subject Area: Information Systems and Management
DOI: https://doi.org/10.64643/JATIRV1I1-140043-001Abstract
The rapid growth of financial technology is reshaping the global financial landscape, with analytics playing a key role in driving this transformation. This paper explores how tools like big data, machine learning, artificial intelligence, and predictive modeling are revolutionizing the way financial services operate especially in areas like payments, lending, wealth management, and risk assessment.
By tapping into real-time data and smart algorithms, FinTech companies are offering more personalized, efficient, and secure services. These innovations not only improve the customer experience but also boost operational performance. Through real-world examples, the study shows how data-driven decisions are helping financial institutions better understand customer behavior, fine-tune pricing strategies, automate regulatory compliance, and detect fraud more quickly and accurately than ever before.
At the same time, the adoption of analytics brings challenges. Issues like data privacy, algorithmic bias, and meeting regulatory requirements can complicate implementation. This paper reviews current research and industry practices to highlight how crucial analytics has become to the future of financial services.
The paper offers practical recommendations for financial firms looking to integrate analytics into their innovation strategies. Embracing analytics isn’t just about keeping up—it’s about gaining a lasting competitive edge in today’s fast-paced, digital economy.