Tipo: materialTypeLabelLibro - General
Ubicación Física: 658.4038 / M827

Big data and analytics : strategic and organizational impacts /

Autor: Morabito, Vincenzo.
Pié de imprenta: New York : Springer, 2014.
Descripción: 183 p. 17 x 24 cm.
ISBN: 9783319106649.
Tema(s):
Resumen: 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 address the impact of Big Data and analytics on management and organization, focusing on challenges for governance, evaluation, and change management, while the concluding part reviews and 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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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 address the impact of Big Data and analytics on management and organization, focusing on challenges for governance, evaluation, and change management, while the concluding part reviews and 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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