Data Analytics in Investment Banks

TitreData Analytics in Investment Banks
Publication TypeJournal Article
Year of Publication2021
AuthorsIraqi, B, Benhiba, L, Idrissi, MAJ
JournalInternational Journal of Advanced Computer Science and Applications
Volume12
Pagination506-513
Mots-clésCommerce, Data analytic use case, Data Analytics, Data driven, Data-driven transformation, Financial impacts, Financial markets, Investment bank, Investment decisions, Investments, IT professional, Metadata, Optimisations
Abstract

Capital Markets are one of the most important pillars of worldwide economy. They gather skilled finance and IT professionals as well as economists in order to take the best investment decisions and choose the most suitable funding solutions every time. Data analytics projects in Capital Markets can definitely be very beneficial as all optimizations and innovations would have a financial impact, but can also be very challenging as the field itself has always incorporated a research component, thus finding out what could really be of an added value might be a tricky task. Based on a comprehensive literature review, this paper aims to structure the thoughts around data analytics in investment banks, and puts forward a classification of relevant data analytics use cases. Lastly, it also discusses how transforming to a data-driven enterprise is the real change investment banks should aim to achieve, and discusses some of the challenges that they might encounter when engaging in this transformation process. © 2021. All Rights Reserved.

URLhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85107532071&doi=10.14569%2fIJACSA.2021.0120562&partnerID=40&md5=7237f6b38c7eedbe1f23bb2968802d60
DOI10.14569/IJACSA.2021.0120562
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