Big Data in Finance: Transforming the Financial Landscape -

Big Data in Finance: Transforming the Financial Landscape

Volume 1

Bahaaeddin Alareeni (Herausgeber)

Buch | Hardcover
VI, 619 Seiten
2025
Springer International Publishing (Verlag)
978-3-031-75094-6 (ISBN)
213,99 inkl. MwSt

This book offers a comprehensive exploration of how Big Data analytics is reshaping the financial world, providing crucial insights for industry professionals, scholars, and enthusiasts alike. This book delves into the expansive potential of Big Data in revolutionizing financial decision-making, risk management, and operational efficiency. It explores how advanced analytics, machine learning, and artificial intelligence are disrupting traditional financial models, empowering institutions with unparalleled insights and a competitive edge. While highlighting technological advancements, the book also addresses the challenges and ethical considerations inherent in data-driven finance. With contributions from leading experts and thought leaders, this book serves as an indispensable resource for anyone eager to understand and harness the transformative power of Big Data in finance. Embark on a journey through the dynamic convergence of finance and technology, and discover how Big Data is shaping the future of the financial landscape, one data point at a time.

Impact of employee engagement on job performance of IT employees.- Investigating Value Added Tax and customs duties on Retail Supply Chains in Clothing Industry.- Impact of Life Cycle Cost of Airfield Pavement on Airport Operations.- The Impact of Internal Marketing on Organizational Performance in UAE Healthcare Settings.

Erscheint lt. Verlag 31.1.2025
Reihe/Serie Studies in Big Data
Zusatzinfo VI, 619 p. 127 illus., 107 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Themenwelt Mathematik / Informatik Informatik Datenbanken
Mathematik / Informatik Mathematik Angewandte Mathematik
Technik
Wirtschaft
Schlagworte Artificial Intelligence • Big Data • Case Studies • Customer Insights • data analytics • data privacy • Digital transformation • Finance • Financial Decision-Making • Financial Markets • fraud detection • machine learning • Market Trends • Operational Efficiency • personalization • predictive analytics • real-world applications • Regulatory Compliance • Risk Management • technological advancements
ISBN-10 3-031-75094-2 / 3031750942
ISBN-13 978-3-031-75094-6 / 9783031750946
Zustand Neuware
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