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  • Strategic Blueprint for Enterprise Analytics: Integrating Advanced Analytics into Data-Driven Business

    Strategic Blueprint for Enterprise Analytics by Wang, Liang; Zhao, Jianxin;

    Integrating Advanced Analytics into Data-Driven Business

    Series: Studies in Big Data; 150;

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      • Publisher's listprice EUR 171.19
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        71 001 Ft (67 620 Ft + 5% VAT)
      • Discount 20% (cc. 14 200 Ft off)
      • Discounted price 56 801 Ft (54 096 Ft + 5% VAT)

    71 001 Ft

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    printed on demand

    Why don't you give exact delivery time?

    Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.

    Product details:

    • Edition number 2024
    • Publisher Springer Nature Switzerland
    • Date of Publication 13 April 2024
    • Number of Volumes 1 pieces, Book

    • ISBN 9783031558849
    • Binding Hardback
    • No. of pages245 pages
    • Size 235x155 mm
    • Language English
    • Illustrations XVII, 245 p. 64 illus., 34 illus. in color. Illustrations, black & white
    • 553

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    Long description:

    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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