Enterprise Information Management in Practice Enterprise Information Management in Practice

Enterprise Information Management in Practice

Managing Data and Leveraging Profits in Today's Complex Business Environment

    • ¥4,400
    • ¥4,400

発行者による作品情報

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 andunstructured 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. 

ジャンル
コンピュータ/インターネット
発売日
2015年
12月19日
言語
EN
英語
ページ数
219
ページ
発行者
Apress
販売元
Springer Nature B.V.
サイズ
4.8
MB
Data Warehousing Fundamentals for IT Professionals Data Warehousing Fundamentals for IT Professionals
2011年
Information Governance Principles and Practices for a Big Data Landscape Information Governance Principles and Practices for a Big Data Landscape
2014年
Information Development Using MIKE2.0 Information Development Using MIKE2.0
2013年
Data as a Service Data as a Service
2015年
Leaders and Innovators Leaders and Innovators
2016年
Master Data Management Master Data Management
2017年