Big Data in Practice: How 45 Successful Companies Used Big Data Analytics to Deliver Extraordinary Results (Hardcover)
Bernard Marr
- 出版商: Wiley
- 出版日期: 2016-05-02
- 售價: $1,800
- 貴賓價: 9.5 折 $1,710
- 語言: 英文
- 頁數: 320
- 裝訂: Hardcover
- ISBN: 1119231388
- ISBN-13: 9781119231387
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相關分類:
大數據 Big-data、Data Science
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商品描述
The best-selling author of Big Data is back, this time with a unique and in-depth insight into how specific companies use big data.
Big data is on the tip of everyone's tongue. Everyone understands its power and importance, but many fail to grasp the actionable steps and resources required to utilise it effectively. This book fills the knowledge gap by showing how major companies are using big data every day, from an up-close, on-the-ground perspective.
From technology, media and retail, to sport teams, government agencies and financial institutions, learn the actual strategies and processes being used to learn about customers, improve manufacturing, spur innovation, improve safety and so much more. Organised for easy dip-in navigation, each chapter follows the same structure to give you the information you need quickly. For each company profiled, learn what data was used, what problem it solved and the processes put it place to make it practical, as well as the technical details, challenges and lessons learned from each unique scenario.
- Learn how predictive analytics helps Amazon, Target, John Deere and Apple understand their customers
- Discover how big data is behind the success of Walmart, LinkedIn, Microsoft and more
- Learn how big data is changing medicine, law enforcement, hospitality, fashion, science and banking
- Develop your own big data strategy by accessing additional reading materials at the end of each chapter
商品描述(中文翻譯)
暢銷書《大數據》的作者再度回歸,這次深入探討特定公司如何運用大數據的獨特見解。
大數據已成為人人皆知的話題。每個人都明白其力量和重要性,但許多人卻未能掌握有效運用大數據所需的可行步驟和資源。本書填補了這方面的知識空白,從近距離、實地的角度展示了主要公司如何每天運用大數據。
從科技、媒體和零售到體育團隊、政府機構和金融機構,了解實際的策略和流程,這些策略和流程用於了解客戶、改善製造、推動創新、提升安全性等等。本書結構簡單易讀,每個章節都遵循相同的結構,讓您快速獲取所需的信息。對於每個公司的介紹,了解使用了哪些數據、解決了哪些問題以及實施了哪些流程使其實用,以及每個獨特情境中的技術細節、挑戰和經驗教訓。
- 了解預測分析如何幫助亞馬遜、Target、John Deere和蘋果了解他們的客戶
- 發現大數據如何助力沃爾瑪、LinkedIn、微軟等公司的成功
- 了解大數據如何改變醫學、執法、酒店業、時尚、科學和銀行業
- 通過在每個章節結尾提供的額外閱讀材料,制定自己的大數據策略