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

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ncluding 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.978-3-319-36476-6978-3-319-10665-6

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Big Data and Analytics for Government Innovationity, as well as public sector’s ability to attract big data analyst talent. We demonstrate different aspects of this discussion through two case studies: Barcelona Smart City and Haiti’s emergency support during the 2010 earthquake disaster.

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Big Data Governances chapter reviews the common definitions of big data governance and its core components. Then the chapter focuses on common big data maturation models. The next section is the organizational benefits and challenges of governing big data, followed by three case studies to establishing a business case

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Big Data and Analytics for Government Innovationtext 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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Big Data Driven Business Models their key value proposition and to substantially augment their value proposition to differentiate themselves in order to gain competitive advantage. It describes the impact of big data on each of the elements as identified in the Business model canvas. Also the chapter discusses the potential of bi

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Big Data Governanceast 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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Big Data and Digital Business Evaluation 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