Beyond Big Data: Using Social MDM to Drive Deep Customer Insight (Paperback)
暫譯: 超越大數據:利用社交主數據管理驅動深入客戶洞察 (平裝本)
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 折 $1,164
- 語言: 英文
- 頁數: 272
- 裝訂: Paperback
- ISBN: 013350980X
- ISBN-13: 9780133509809
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相關分類:
大數據 Big-data
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相關主題
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) 到社交、移動、本地和交易數據來驅動強大的商業價值
企業長期以來依賴主數據管理 (MDM) 來改善與客戶相關的流程。但 MDM 主要是為結構化數據設計的。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:從推文和 Facebook 貼文到呼叫中心的記錄。即使有像 Hadoop 這樣的工具,提取可用的見解也很困難——通常是因為整合新舊數據來源非常困難。
在 超越大數據 一書中,IBM 的五位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 如何幫助您深化關係、改善潛在客戶的定位,並通過移動渠道充分吸引客戶。
商業領導者和實踐者將發現結合社交數據和主數據以改善績效和發掘新機會的強大新方法。架構師和其他技術領導者將找到完整的參考架構、相關技術和使用案例的深入覆蓋,以及針對他們自己項目的領域特定最佳實踐。
內容包括
- 社交 MDM 如何擴展基本的 MDM 概念和技術
- 社交 MDM 的架構:組件、功能、層次和互動
- 識別高價值關係:人與產品和人與組織
- 將社交 MDM 架構映射到特定產品和技術
- 使用社交 MDM 創造更具吸引力的客戶體驗
- 加速您向高度針對性、情境化行銷的轉型
- 整合移動數據以提高員工生產力
- 避免在整個生態系統中出現隱私和倫理陷阱
- 預覽語義 MDM 和其他新興趨勢