Disruptive Analytics: Charting Your Strategy for Next-Generation Business Analytics

Thomas W. Dinsmore

  • 出版商: Apress
  • 出版日期: 2016-08-28
  • 售價: $1,480
  • 貴賓價: 9.5$1,406
  • 語言: 英文
  • 頁數: 262
  • 裝訂: Paperback
  • ISBN: 1484213122
  • ISBN-13: 9781484213124
  • 海外代購書籍(需單獨結帳)

相關主題

商品描述

Learn all you need to know about seven key innovations disrupting business analytics today. These innovations―the open source business model, cloud analytics, the Hadoop ecosystem, Spark and in-memory analytics, streaming analytics, Deep Learning, and self-service analytics―are radically changing how businesses use data for competitive advantage. Taken together, they are disrupting the business analytics value chain, creating new opportunities.

Enterprises who seize the opportunity will thrive and prosper, while others struggle and decline: disrupt or be disrupted. Disruptive Business Analytics provides strategies to profit from disruption. It shows you how to organize for insight, build and provision an open source stack, how to practice lean data warehousing, and how to assimilate disruptive innovations into an organization.

Through a short history of business analytics and a detailed survey of products and services, analytics authority Thomas W. Dinsmore provides a practical explanation of the most compelling innovations available today.

What You'll Learn

  • Discover how the open source business model works and how to make it work for you
  • See how cloud computing completely changes the economics of analytics
  • Harness the power of Hadoop and its ecosystem
  • Find out why Apache Spark is everywhere
  • Discover the potential of streaming and real-time analytics
  • Learn what Deep Learning can do and why it matters
  • See how self-service analytics can change the way organizations do business
Who This Book Is For

Corporate actors at all levels of responsibility for analytics: analysts, CIOs, CTOs, strategic decision makers, managers, systems architects, technical marketers, product developers, IT personnel, and consultants.

商品描述(中文翻譯)

這本書介紹了七個關鍵創新,這些創新正在顛覆商業分析。這些創新包括開源商業模式、雲端分析、Hadoop生態系統、Spark和內存分析、流式分析、深度學習和自助式分析,它們徹底改變了企業利用數據獲取競爭優勢的方式。這些創新一起顛覆了商業分析價值鏈,創造了新的機會。

抓住機遇的企業將繁榮興旺,而其他企業將面臨困難和衰退:要麼顛覆,要麼被顛覆。《顛覆性商業分析》提供了從顛覆中獲利的策略。它向您展示如何組織以獲取洞察力,構建和提供開源技術堆棧,如何實踐精益數據倉儲,以及如何將顛覆性創新融入組織中。

通過對商業分析的簡要歷史和產品服務的詳細調查,分析專家Thomas W. Dinsmore提供了對當今最引人注目的創新的實用解釋。

您將學到什麼:
- 了解開源商業模式的運作方式,以及如何使其適用於您的業務
- 看到雲端計算如何完全改變分析的經濟模式
- 利用Hadoop及其生態系統的強大功能
- 了解為什麼Apache Spark無所不在
- 發現流式和實時分析的潛力
- 了解深度學習的能力和重要性
- 看到自助式分析如何改變組織的業務方式

適合閱讀對象:
- 負責分析的企業人員,包括分析師、CIO、CTO、戰略決策者、經理、系統架構師、技術營銷人員、產品開發人員、IT人員和顧問。