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Titlebook: Big Data and Analytics; Strategic and Organi Vincenzo Morabito Book 2015 Springer International Publishing Switzerland 2015 Analytics.Big D

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發(fā)表于 2025-3-21 16:18:08 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Big Data and Analytics
期刊簡稱Strategic and Organi
影響因子2023Vincenzo Morabito
視頻videohttp://file.papertrans.cn/186/185670/185670.mp4
發(fā)行地址Provides reliable, concise information on the main strategic and organizational challenges posed by Big Data and analytics.Includes case studies, insights, and recommendations for practitioners.Descri
圖書封面Titlebook: Big Data and Analytics; Strategic and Organi Vincenzo Morabito Book 2015 Springer International Publishing Switzerland 2015 Analytics.Big D
影響因子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.
Pindex Book 2015
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The CCR Model and Production Correspondence,text of open government initiatives. We outline the changing role of governments in societies, and the technological enablement towards direct online democracy and active citizen engagement, as well as the utilization of big data enabled governance as a competitive advantage for attracting resources
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https://doi.org/10.1007/0-387-29122-9ast few years, many organizations have begun their adventure with big data. While many are only experimenting with new technologies and innovations to improve their competitive advantage, few are truly thinking ahead for long-term success and even fewer will truly succeed in gaining such competitive
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Models with Restricted Multipliers, tools that allow digital businesses to identify useful insights about their customers and create products to meet their customer’s requirements. However, digital businesses working with big data technology face various challenges including the data acquisition, the storage space and the evaluation
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Models with Restricted Multipliers,ions to consider new innovative techniques on maximizing the potentials of big data as well as the challenges it creates. Yet, the success of many organizations demands new skills as well as new perspectives on how the epoch of big data could advance the speed of business processes. With the growth
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Data Warehousing, Data Mining, and OLAP, analytics worldwide in 2014. The genesis of the selected ideas lies mostly in innovative research projects that have developed successfully, becoming start-ups and spin-offs and reaching the market, where they are currently applied. For each innovation we provide an introduction to the main charact
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