TY - GEN AB - Recent Advancements of Computational Finance and Business Analytics provide a comprehensive overview of the cutting-edge advancements in this dynamic field. By embracing computational finance and business analytics, organizations can gain a competitive edge in an increasingly data-driven and complex business environment. This book has explored the latest developments and breakthroughs in this rapidly evolving domain, providing a comprehensive overview of the current state of computational finance and business analytics. It covers the following dimensions of this domains: Business Analytics Financial Analytics Human Resource Analytics Marketing Analytics. AU - Gupta, Rangan, AU - Bartolucci, Francesco, AU - Katsikis, Vasilios N. AU - Patnaik, Srikanta, CN - HG106 DO - 10.1007/978-3-031-38074-7 DO - doi ID - 1482761 KW - Finances KW - Finances KW - Gestion KW - Finance KW - Finance KW - Industrial management LK - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-38074-7 N2 - Recent Advancements of Computational Finance and Business Analytics provide a comprehensive overview of the cutting-edge advancements in this dynamic field. By embracing computational finance and business analytics, organizations can gain a competitive edge in an increasingly data-driven and complex business environment. This book has explored the latest developments and breakthroughs in this rapidly evolving domain, providing a comprehensive overview of the current state of computational finance and business analytics. It covers the following dimensions of this domains: Business Analytics Financial Analytics Human Resource Analytics Marketing Analytics. SN - 9783031380747 SN - 3031380746 T1 - Recent advancements in computational finance and business analytics :proceedings of the International Conference on Computational Finance and Business Analytics / TI - Recent advancements in computational finance and business analytics :proceedings of the International Conference on Computational Finance and Business Analytics / UR - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-38074-7 VL - volume 32 ER -