A Detailed Guide to Cloud Computing in Banking
Friday July 25, 2025Gartner predicts rapid growth in cloud adoption within banking sector, projecting that over 90% of banks will run their critical workloads on cloud platforms by 2027.
Malav Soni is a fintech strategist at TatvaSoft. With years of experience, he helps teams successfully deliver robust and secure software applications for the financial sectors. He firmly believes in leveraging the latest technology to create innovative financial solutions.
Gartner predicts rapid growth in cloud adoption within banking sector, projecting that over 90% of banks will run their critical workloads on cloud platforms by 2027.
Any small error in data processing during a financial operation can lead to significant monetary losses and damage to brand reputation. That is why many financial institutions invest in automating repetitive and mundane tasks to minimize errors, reduce risks, and improve efficiency.
Increasing digitalization and continuous shifts in customer behavior and market trends are making it difficult for CFOs and finance leaders to plan their next steps. What they need is a technology that can not only help them navigate uncertainties but also empower them to identify potential investment opportunities that yield maximum returns. That’s where predictive analytics comes in.
In the age of digitalization, where customers are overwhelmed by a multitude of options, personalization is a better way to serve customers, especially in the banking sector. Customers and account holders also expect a personalized banking experience that adapts to their unique needs, preferences, and financial goals.
Insurance is a data-driven industry. Studies show that insurance companies making data-driven decisions are 23 times more likely to build a large customer base. Success depends not only on proper data management but also on thorough analysis and effective use of raw data.
The finance sector is one of the most highly regulated industries. Achieving regulatory compliance is a complex task because it is like an ever-growing network of rules and laws. Non-compliance can result in significant financial losses and damage to reputation.
Over the past ten years, data analytics has been the major semantic as many companies use some type of data science in their daily activities. This includes banks as well. Data analytics has enabled finance software development companies to create better client connections, provide innovative products at a higher scale, and more effectively compete in the market with offers exactly suited to consumer needs.
The finance department of every corporation is likely one of the busiest areas. Payments must be managed, invoices must be generated and sent, and these invoices must be matched with purchase orders and receipt evidence.
Digitalization has already transformed customers, platforms, and businesses, indicating that a digital revolution is in progress. Surrounded by an innovative culture free from constraint, businesses must make decisions to evolve; otherwise, they risk disappearing.