Enterprise Information Management in Practice: Managing Data and Leveraging Profits in Today's Complex Business Environment

Saumya Chaki

  • 出版商: Apress
  • 出版日期: 2015-12-17
  • 售價: $2,010
  • 貴賓價: 9.5$1,910
  • 語言: 英文
  • 頁數: 224
  • 裝訂: Paperback
  • ISBN: 1484212193
  • ISBN-13: 9781484212196
  • 相關分類: Information-management
  • 海外代購書籍(需單獨結帳)

相關主題

商品描述

Learn how to form and execute an enterprise information strategy: topics include data governance strategy, data architecture strategy, information security strategy, big data strategy, and cloud strategy. Manage information like a pro, to achieve much better financial results for the enterprise, more efficient processes, and multiple advantages over competitors.

As you’ll discover in Enterprise Information Management in Practice, EIM deals with both structured data (e.g. sales data and customer data) as well as unstructured data (like customer satisfaction forms, emails, documents, social network sentiments, and so forth). With the deluge of information that enterprises face given their global operations and complex business models, as well as the advent of big data technology, it is not surprising that making sense of the large piles of data is of paramount importance. Enterprises must therefore put much greater emphasis on managing and monetizing both structured and unstructured data.

As Saumya Chaki―an information management expert and consultant with IBM―explains in Enterprise Information Management in Practice, it is now more important than ever before to have an enterprise information strategy that covers the entire life cycle of information and its consumption while providing security controls.

With Fortune 100 consultant Saumya Chaki as your guide, Enterprise Information Management in Practice covers each of these and the other pillars of EIM in depth, which provide readers with a comprehensive view of the building blocks for EIM.

Enterprises today deal with complex business environments where information demands take place in real time, are complex, and often serve as the differentiator among competitors. The effective management of information is thus crucial in managing enterprises. EIM has evolved as a specialized discipline in the business intelligence and enterprise data warehousing space to address the complex needs of information processing and delivery―and to ensure the enterprise is making the most of its information assets. 

商品描述(中文翻譯)

學習如何形成和執行企業資訊策略:主題包括數據治理策略、數據架構策略、資訊安全策略、大數據策略和雲端策略。像專業人士一樣管理資訊,以實現企業更好的財務結果、更高效的流程,以及在競爭對手面前的多重優勢。

正如你在《企業資訊管理實務》中所發現的,EIM 涉及結構化數據(例如銷售數據和客戶數據)以及非結構化數據(如客戶滿意度表單、電子郵件、文件、社交網絡情緒等)。隨著企業面對全球運營和複雜商業模式所帶來的信息洪流,以及大數據技術的興起,理解大量數據的重要性不言而喻。因此,企業必須更加重視管理和變現結構化和非結構化數據。

正如 IBM 的資訊管理專家和顧問 Saumya Chaki 在《企業資訊管理實務》中所解釋的,擁有一個涵蓋資訊整個生命週期及其消耗的企業資訊策略,並提供安全控制,現在比以往任何時候都更為重要。

在《企業資訊管理實務》中,Fortune 100 顧問 Saumya Chaki 將作為你的指導,深入探討這些以及 EIM 的其他支柱,為讀者提供 EIM 建構基礎的全面視角。

當今企業面對複雜的商業環境,資訊需求即時發生,且複雜,往往成為競爭者之間的區別因素。因此,有效管理資訊對於企業管理至關重要。EIM 已經發展成為商業智慧和企業數據倉儲領域的一個專業學科,以應對資訊處理和交付的複雜需求,並確保企業充分利用其資訊資產。