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Strategic Blueprint for Enterprise Analytics: Integrating Advanced Analytics into Data-Driven Business: Studies in Big Data, cartea 150

Autor Liang Wang, Jianxin Zhao
en Limba Engleză Hardback – 13 apr 2024
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.

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Specificații

ISBN-13: 9783031558849
ISBN-10: 3031558847
Ilustrații: XVII, 245 p. 64 illus., 34 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.54 kg
Ediția:2024
Editura: Springer Nature Switzerland
Colecția Springer
Seria Studies in Big Data

Locul publicării:Cham, Switzerland

Cuprins




Textul de pe ultima copertă

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.

Caracteristici

Provides a systematic methodology that blends both technological and managerial aspects of enterprise analytics systems Delves into real world use cases to illustrate how to navigate complexities in the modern business landscape Caters to a diverse range of professionals, such as business executive, enterprise architect, analytics, and academics