Big Data Analytics in Financial Systems Testing

Abstract

Big Data Analytics (BDA) was found to revolutionize the world of quite a few diverse industries. Among all those domains, the financial sector could be considered the one that was affected the most. This paper addresses the crossroads between BDA and financial systems testing with some emphasis on methods, tools, challenges, and innovations in such an area. Financial systems are of complex and sensitive nature; hence, the testing has to be robust enough to ensure their reliability, security, and performance. Big Data leverage facilitates automated, scalable, and efficient solutions in testing. This paper provides an elaborated framework into the integration of Big Data Analytics in the financial test process and outlines future trends of quantum computing and blockchain integration. Technical aspects, datasets, algorithms, and tools are indeed evaluated in detail to provide actionable strategies on testing optimization within the financial systems