Integrating Advanced Analytics into Data-Driven Business Wang, Liang. creator author. aut http://id.loc.gov/vocabulary/relators/aut Zhao, Jianxin. author. aut http://id.loc.gov/vocabulary/relators/aut SpringerLink (Online service) text sz 2024 1st ed. 2024. monographic eng

electronic

electronic resource

access XVII, 245 p. 64 illus., 34 illus. in color. online resource. This book is a comprehensive guide for professionals, leaders, and academics seeking to unlock the power of data and analytics in the modern business landscape. It delves deeply into the strategic, architectural, and managerial aspects of implementing enterprise analytics (EA) systems in large enterprises. The book is meticulously structured into three parts. Part 1 lays the foundation for adaptable architecture in EA. Part 2 explores technical considerations: data, cloud platforms, and AI solutions. The final part focuses on strategy execution, investment, and risk management. Acting as a comprehensive guide, the book enables the creation of robust EA capabilities that foster growth, optimize operations, and keep pace with EA's dynamic world. Whether readers are leaders harnessing data's potential, practitioners navigating analytics, or academics exploring this evolving domain, this book provides insights and knowledge to guide readers toward a thriving, data-driven future. by Liang Wang, Jianxin Zhao. Engineering Data processing Computational intelligence Big data Artificial intelligence Data Engineering Computational Intelligence Big Data Artificial Intelligence TA345-345.5 9783031558856 https://doi.org/10.1007/978-3-031-55885-6 https://doi.org/10.1007/978-3-031-55885-6 240412 20251030111816.0 978-3-031-55885-6