標(biāo)題: Titlebook: Big Data and Analytics; Strategic and Organi Vincenzo Morabito Book 2015 Springer International Publishing Switzerland 2015 Analytics.Big D [打印本頁] 作者: GLAZE 時(shí)間: 2025-3-21 16:18
書目名稱Big Data and Analytics影響因子(影響力)
書目名稱Big Data and Analytics影響因子(影響力)學(xué)科排名
書目名稱Big Data and Analytics網(wǎng)絡(luò)公開度
書目名稱Big Data and Analytics網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Big Data and Analytics被引頻次
書目名稱Big Data and Analytics被引頻次學(xué)科排名
書目名稱Big Data and Analytics年度引用
書目名稱Big Data and Analytics年度引用學(xué)科排名
書目名稱Big Data and Analytics讀者反饋
書目名稱Big Data and Analytics讀者反饋學(xué)科排名
作者: 天賦 時(shí)間: 2025-3-21 23:50
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作者: Acclaim 時(shí)間: 2025-3-22 01:53 作者: Dorsal 時(shí)間: 2025-3-22 06:42 作者: ordain 時(shí)間: 2025-3-22 11:24
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作者: 救護(hù)車 時(shí)間: 2025-3-22 15:52
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 作者: GULF 時(shí)間: 2025-3-22 18:20
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 作者: Parameter 時(shí)間: 2025-3-22 23:34
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作者: foodstuff 時(shí)間: 2025-3-23 02:17 作者: 捐助 時(shí)間: 2025-3-23 06:33 作者: JOG 時(shí)間: 2025-3-23 13:38 作者: profligate 時(shí)間: 2025-3-23 17:32 作者: scrutiny 時(shí)間: 2025-3-23 22:01 作者: Delirium 時(shí)間: 2025-3-23 22:34
978-3-319-36476-6Springer International Publishing Switzerland 2015作者: 價(jià)值在貶值 時(shí)間: 2025-3-24 04:50
Book 2015ioners 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作者: 仔細(xì)閱讀 時(shí)間: 2025-3-24 09:40
dies, insights, and recommendations for practitioners.DescriThis 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 作者: colloquial 時(shí)間: 2025-3-24 14:41
https://doi.org/10.1007/0-387-29122-9end, as well as the possible advantages and opportunities. Finally, a case study discussion provides insights from practice and highlights points of attention, for those pursuing big data-driven competitive advantage.作者: 苦惱 時(shí)間: 2025-3-24 18:15
Big Data and Analytics for Competitive Advantageend, as well as the possible advantages and opportunities. Finally, a case study discussion provides insights from practice and highlights points of attention, for those pursuing big data-driven competitive advantage.作者: 疾馳 時(shí)間: 2025-3-24 19:50 作者: backdrop 時(shí)間: 2025-3-25 01:58 作者: nutrition 時(shí)間: 2025-3-25 05:42 作者: 受辱 時(shí)間: 2025-3-25 09:51
The CCR Model and Production Correspondence,pter first explains MOOC educational models (peer-to-peer and institutional) and the role that big data and analytics are playing in this context, highlighting institutional advantages, opportunities and challenges. It then explains two cases studies where big data and analytics played essential roles in the design and delivery of the curricula.作者: incredulity 時(shí)間: 2025-3-25 13:54 作者: Throttle 時(shí)間: 2025-3-25 16:42 作者: 碎片 時(shí)間: 2025-3-25 21:21 作者: 共同給與 時(shí)間: 2025-3-26 02:04 作者: 能得到 時(shí)間: 2025-3-26 05:39 作者: CODE 時(shí)間: 2025-3-26 10:18
Models with Restricted Multipliers,ations of big data on partnerships, monetization, and the opportunities and challenges it raises for accounting, budgeting and performance metrics. In conclusion, the chapter acknowledges the synergistic potential with other emerging technologies such as 3D printing, Robots, Drones, self-driving car作者: laxative 時(shí)間: 2025-3-26 12:51 作者: 變化無常 時(shí)間: 2025-3-26 19:16 作者: 不可比擬 時(shí)間: 2025-3-27 00:15
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作者: 正式演說 時(shí)間: 2025-3-27 03:22
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.作者: 吼叫 時(shí)間: 2025-3-27 08:31 作者: Gnrh670 時(shí)間: 2025-3-27 09:48
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作者: 火海 時(shí)間: 2025-3-27 15:42 作者: fabricate 時(shí)間: 2025-3-27 20:51
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作者: 健談 時(shí)間: 2025-3-27 22:57 作者: declamation 時(shí)間: 2025-3-28 02:08
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作者: insular 時(shí)間: 2025-3-28 10:11
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作者: 使殘廢 時(shí)間: 2025-3-28 11:16
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 作者: Flat-Feet 時(shí)間: 2025-3-28 14:38 作者: Atheroma 時(shí)間: 2025-3-28 20:52 作者: cunning 時(shí)間: 2025-3-29 00:21
10樓作者: 小臼 時(shí)間: 2025-3-29 06:36
10樓作者: Small-Intestine 時(shí)間: 2025-3-29 10:48
10樓
