Novel methodologies for performance benchmarking and capacity planning in banking IT infrastructure

Posted: Nov 12, 2022

• Joseph Taylor
• Levi Wilson
• Liam Jones

Abstract

The exponential growth in digital banking transactions, coupled with increasing regulatory requirements and customer expectations for real-time processing, has placed unprecedented demands on banking IT infrastructure. Traditional capacity planning methodologies, largely based on statistical forecasting and linear regression models, are increasingly inadequate for managing the complex, dynamic nature of modern financial systems. This paper addresses these challenges through the development of a novel methodology that fundamentally rethinks the capacity planning paradigm. Our approach moves beyond traditional statistical forecasting by incorporating quantum-inspired optimization techniques and advanced temporal modeling to create a more adaptive, intelligent framework. The core innovation lies in treating capacity planning as a dynamic optimization problem rather than a static projection exercise, enabling banking institutions to achieve higher resource utilization while maintaining service quality and system resilience.