An Examination of the Computational Finance and Business Analytics for Corporate Innovation and Interventions

Abstract

There is an increasing importance to determine how to use the vast amounts of data available in today's environment to uncover useful insights that will enable better decision making over the long run. Through the use of these insights, it is possible to maximize opportunities, minimize risks, and control costs so as to take advantage of these opportunities. Data-driven decision-making using big data analytics is a way to explore, discover, and make informed decisions based on a large amount of data, with the advancement of machine learning techniques. It has become popular to use these techniques, alongside machine learning techniques that have recently been developed, for the analysis of data related to business, financial, economic, and e-commerce. With the advent of computational intelligence, the world of today is experiencing a huge wave of change in every area of life. Due to the diligent research conducted by the researchers in the field of computational intelligence, the field has gained tremendous attention in various fields of management in general and finance in particular, where the scope of analyzing financial data has gained wide coverage due to the research conducted in this field. There has been a significant increase in the field of computational finance as a result of these developments. A variety of real-world challenges can be identified as a result of the recent efforts in the field of management along with the use of computational intelligence.