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Titlebook: Big Data Analytics: A Management Perspective; Francesco Corea Book 2016 Springer International Publishing Switzerland 2016 Big Data for Ma

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發(fā)表于 2025-3-21 17:29:14 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Big Data Analytics: A Management Perspective
影響因子2023Francesco Corea
視頻videohttp://file.papertrans.cn/186/185627/185627.mp4
發(fā)行地址Offers a condensed guide: short in length, but rich in notions and content for business people who do not have much time.No technical language: completely understandable even for people with no techni
學(xué)科分類Studies in Big Data
圖書封面Titlebook: Big Data Analytics: A Management Perspective;  Francesco Corea Book 2016 Springer International Publishing Switzerland 2016 Big Data for Ma
影響因子This book is about innovation, big data, and data science seen from a business perspective. Big data is a buzzword nowadays, and there is a growing necessity within practitioners to understand better the phenomenon, starting from a clear stated definition. This book aims to be a starting reading for executives who want (and need) to keep the pace with the technological breakthrough introduced by new analytical techniques and piles of data. Common myths about big data will be explained, and a series of different strategic approaches will be provided. By browsing the book, it will be possible to learn how to implement a big data strategy and how to use a maturity framework to monitor the progress of the data science team, as well as how to move forward from one stage to the next. Crucial challenges related to big data will be discussed, where some of them are more general - such as ethics, privacy, and ownership – while others concern more specific business situations (e.g., initial public offering, growth strategies, etc.). The important matter of selecting the right skills and people for an effective team will be extensively explained, and practical ways to recognize them and under
Pindex Book 2016
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發(fā)表于 2025-3-21 21:22:32 | 只看該作者
2197-6503 itial public offering, growth strategies, etc.). The important matter of selecting the right skills and people for an effective team will be extensively explained, and practical ways to recognize them and under978-3-319-81786-6978-3-319-38992-9Series ISSN 2197-6503 Series E-ISSN 2197-6511
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發(fā)表于 2025-3-22 01:04:50 | 只看該作者
Book 2016cessity within practitioners to understand better the phenomenon, starting from a clear stated definition. This book aims to be a starting reading for executives who want (and need) to keep the pace with the technological breakthrough introduced by new analytical techniques and piles of data. Common
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Linear Theory of Theta Functions,ucture will be provided, in order to assess the big data internal advancements, and a data maturity map will summarize a set of relevant metrics that should be considered for an efficient big data strategy.
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What Data Science Means to the Business,. It is going to be then shown the best data deployment approach, followed by an ideal internal data management process. A four-stages development structure will be provided, in order to assess the big data internal advancements, and a data maturity map will summarize a set of relevant metrics that
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