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Big Data and Analytics

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Big Data and Analytics
Lowest price (incl. delivery)
7 174,00 JPY
Typical price467,52 PLN
Lowest (90 days)35,99 PLN
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Last updatedpřed 1 týdnem
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Price history (90 days)
Full history
2026-08-08 2026-08-15
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AktualizovánoCena
2026-08-0839,99
2026-08-1435,99
2026-08-1551,99
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SP SpringerNatureLink Shop INT 7 149,00 JPY 25,00 JPY 7 174,00 JPY Dostupné před 4 dny View offer
SP Springer Nature Author 7 149,00 JPY 15,00 JPY 7 164,00 JPY Dostupné před 1 týdnem View offer
SP SpringerNatureLink Shop INT 49,99 USD 19,00 USD 68,99 USD Dostupné před 4 dny View offer
SP SpringerNatureLink Shop INT 54,99 USD 19,00 USD 73,99 USD Dostupné před 4 dny View offer
SP SpringerNatureLink Shop INT 54,99 USD 29,00 USD 83,99 USD Dostupné před 4 dny View offer
SP SpringerNatureLink Shop INT 59,00 EUR free 59,00 EUR Dostupné před 4 dny View offer

Ceny a dostupnost se mohou změnit. Naposledy aktualizováno: 08.08.2026 23:08.

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This book presents and discusses the main strategic and organizational challenges posed by Big Data and analytics in a manner relevant to both practitioners and scholars. The first part of the book analyzes strategic issues relating to the growing relevance of Big Data and analytics for competitive advantage, which is also attributable to empowerment of activities such as consumer profiling, market segmentation, and development of new products or services. Detailed consideration is also given to the strategic impact of Big Data and analytics on innovation in domains such as government and education and to Big Data-driven business models. The second part of the book addresses the impact of Big Data and analytics on management and organizations, focusing on challenges for governance, evaluation, and change management, while the concluding part reviews real examples of Big Data and analytics innovation at the global level. The text is supported by informative illustrations and case studies, so that practitioners can use the book as a toolbox to improve understanding and exploit business opportunities related to Big Data and analytics.

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