Beyond Big Data: Using Social MDM to Drive Deep Customer Insight (Paperback)

Martin Oberhofer, Eberhard Hechler, Ivan Milman, Scott Schumacher, Dan Wolfson

  • 出版商: IBM Press
  • 出版日期: 2014-10-17
  • 售價: $1,225
  • 貴賓價: 9.5$1,164
  • 語言: 英文
  • 頁數: 272
  • 裝訂: Paperback
  • ISBN: 013350980X
  • ISBN-13: 9780133509809
  • 相關分類: 大數據 Big-data
  • 立即出貨 (庫存 < 3)

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商品描述

Drive Powerful Business Value by Extending MDM to Social, Mobile, Local, and Transactional Data

 

Enterprises have long relied on Master Data Management (MDM) to improve customer-related processes. But MDM was designed primarily for structured data. Today, crucial information is increasingly captured in unstructured, transactional, and social formats: from tweets and Facebook posts to call center transcripts. Even with tools like Hadoop, extracting usable insight is difficult—often, because it’s so difficult to integrate new and legacy data sources.

 

In Beyond Big Data, five of IBM’s leading data management experts introduce powerful new ways to integrate social, mobile, location, and traditional data. Drawing on pioneering experience with IBM’s enterprise customers, they show how Social MDM can help you deepen relationships, improve prospect targeting, and fully engage customers through mobile channels.

 

Business leaders and practitioners will discover powerful new ways to combine social and master data to improve performance and uncover new opportunities. Architects and other technical leaders will find a complete reference architecture, in-depth coverage of relevant technologies and use cases, and domain-specific best practices for their own projects.


Coverage Includes

  • How Social MDM extends fundamental MDM concepts and techniques
  • Architecting Social MDM: components, functions, layers, and interactions
  • Identifying high value relationships: person to product and person to organization
  • Mapping Social MDM architecture to specific products and technologies
  • Using Social MDM to create more compelling customer experiences
  • Accelerating your transition to highly-targeted, contextual marketing
  • Incorporating mobile data to improve employee productivity
  • Avoiding privacy and ethical pitfalls throughout your ecosystem
  • Previewing Semantic MDM and other emerging trends

 

 

商品描述(中文翻譯)

透過擴展主數據管理(MDM)至社交、移動、本地和交易數據,實現強大的商業價值

企業長期以來一直依賴主數據管理(MDM)來改善與客戶相關的流程。但是,MDM主要是針對結構化數據設計的。如今,關鍵信息越來越多地以非結構化、交易和社交格式捕獲:從推特和Facebook帖子到呼叫中心的文字記錄。即使有像Hadoop這樣的工具,提取可用的洞察力也很困難,往往是因為整合新舊數據源非常困難。

在《超越大數據》一書中,IBM的五位領先數據管理專家介紹了整合社交、移動、位置和傳統數據的強大新方法。他們借鑒了與IBM企業客戶的開創性經驗,展示了社交MDM如何幫助您加深關係,改善潛在客戶定位,並通過移動渠道充分吸引客戶。

商業領導者和從業人員將發現強大的新方法來結合社交和主數據,以提高業績並發現新機會。架構師和其他技術領導者將找到一個完整的參考架構,深入介紹相關技術和用例,以及領域特定的最佳實踐,供他們自己的項目使用。

內容包括:

- 社交MDM如何擴展基本MDM概念和技術
- 設計社交MDM:組件、功能、層次和互動
- 確定高價值關係:人對產品和人對組織
- 將社交MDM架構映射到具體產品和技術
- 使用社交MDM創建更具吸引力的客戶體驗
- 加速轉向高度定向、情境化營銷
- 納入移動數據以提高員工生產力
- 在整個生態系統中避免隱私和道德陷阱
- 預覽語義MDM和其他新興趨勢