Strategic Blueprint for Enterprise Analytics Integrating Advanced Analytics into Data-Driven Business /
Wang, Liang.
Strategic Blueprint for Enterprise Analytics Integrating Advanced Analytics into Data-Driven Business / [electronic resource] : by Liang Wang, Jianxin Zhao. - 1st ed. 2024. - XVII, 245 p. 64 illus., 34 illus. in color. online resource. - Studies in Big Data, 150 2197-6511 ; . - Studies in Big Data, 150 .
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.
9783031558856
Engineering--Data processing.
Computational intelligence.
Big data.
Artificial intelligence.
Data Engineering.
Computational Intelligence.
Big Data.
Artificial Intelligence.
TA345-345.5
620.00285
Strategic Blueprint for Enterprise Analytics Integrating Advanced Analytics into Data-Driven Business / [electronic resource] : by Liang Wang, Jianxin Zhao. - 1st ed. 2024. - XVII, 245 p. 64 illus., 34 illus. in color. online resource. - Studies in Big Data, 150 2197-6511 ; . - Studies in Big Data, 150 .
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.
9783031558856
Engineering--Data processing.
Computational intelligence.
Big data.
Artificial intelligence.
Data Engineering.
Computational Intelligence.
Big Data.
Artificial Intelligence.
TA345-345.5
620.00285
