Strategic Blueprint for Enterprise Analytics: Studies in Big Data
Autor Liang Wang, Jianxin Zhaoen Limba Engleză Paperback – 13 apr 2025
| Toate formatele și edițiile | Preț | Express |
|---|---|---|
| Paperback (1) | 902.25 lei 39-44 zile | |
| Springer – 13 apr 2025 | 902.25 lei 39-44 zile | |
| Hardback (1) | 953.08 lei 6-8 săpt. | |
| Springer Nature Switzerland – 13 apr 2024 | 953.08 lei 6-8 săpt. |
Din seria Studies in Big Data
- 20%
Preț: 931.53 lei - 20%
Preț: 622.59 lei - 18%
Preț: 955.31 lei - 20%
Preț: 1120.33 lei - 20%
Preț: 942.77 lei - 20%
Preț: 1548.33 lei - 20%
Preț: 1114.77 lei - 24%
Preț: 1269.21 lei - 20%
Preț: 1133.02 lei - 20%
Preț: 1125.07 lei - 20%
Preț: 1014.90 lei - 20%
Preț: 945.18 lei - 20%
Preț: 1120.68 lei - 20%
Preț: 949.94 lei - 15%
Preț: 612.23 lei - 20%
Preț: 889.07 lei - 20%
Preț: 901.15 lei - 20%
Preț: 895.22 lei - 24%
Preț: 947.76 lei - 20%
Preț: 625.75 lei - 20%
Preț: 630.51 lei - 20%
Preț: 1001.28 lei - 20%
Preț: 1547.07 lei - 18%
Preț: 694.19 lei - 20%
Preț: 1006.34 lei - 20%
Preț: 1115.41 lei - 20%
Preț: 940.75 lei - 20%
Preț: 1110.20 lei - 20%
Preț: 321.17 lei - 20%
Preț: 999.38 lei - 20%
Preț: 951.34 lei - 20%
Preț: 1100.34 lei - 20%
Preț: 949.44 lei - 20%
Preț: 673.77 lei
Preț: 902.25 lei
Preț vechi: 1187.17 lei
-24%
Puncte Express: 1353
Preț estimativ în valută:
159.51€ • 189.60$ • 138.40£
159.51€ • 189.60$ • 138.40£
Carte tipărită la comandă
Livrare economică 09-14 martie
Specificații
ISBN-13: 9783031558870
ISBN-10: 3031558871
Pagini: 264
Dimensiuni: 155 x 235 x 15 mm
Greutate: 0.41 kg
Editura: Springer
Seria Studies in Big Data
ISBN-10: 3031558871
Pagini: 264
Dimensiuni: 155 x 235 x 15 mm
Greutate: 0.41 kg
Editura: Springer
Seria Studies in Big Data
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