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Relational Databases are the bedrock of any FinTech application, especially for OLTP (Online transaction Processing). So, it is imperative that all database activities are monitored closely in the production environment and issues like long-running queries are tracked and resolved.
In the fast-paced world of financial technology (fintech), real-time decisioning has become a cornerstone of innovation and success. Fintech apps are reshaping the financial landscape by offering users unprecedented convenience, speed, and personalization. Example: Imagine a user applying for a personal loan through a fintech app.
At the same time, deregulation fuels massive investments in fintech startups and opens doors for tech giants to point their data-centric innovation engines towards financial services. Adding such business relevance is a simple process: For each user journey, identify the steps— key user actions —and conversion goal.
Further, open source databases can be modified in infinite ways, enabling institutions to meet their specific needs for data storage, retrieval, and processing. They’re often preferred for storing and processing business intelligence data by organizations that require fast SQL queries.
These apps save financial data in a safe place and simplify the payment process by removing the need to enter the same information often. The Internet of Things (IoT) allows individualized advertising, real-time stock monitoring, and robotic order fulfilment. Find the best eWallet app development company.
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