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160104 ||| eng |
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|a 9781484212189
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| 100 |
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|a Chaki, Saumya
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| 245 |
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|a Enterprise Information Management in Practice
|h Elektronische Ressource
|b Managing Data and Leveraging Profits in Today's Complex Business Environment
|c by Saumya Chaki
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| 250 |
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|a 1st ed. 2015
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| 260 |
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|a Berkeley, CA
|b Apress
|c 2015, 2015
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| 300 |
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|a XXII, 197 p. 76 illus
|b online resource
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|a Chapter 1: Enterprise Information Management : Definition, Scope, and History -- Chapter 2: Lifecycle of Enterprise Information Management -- Chapter 3: Components of Enterprise Information Management -- Chapter 4: Pillar #1: Information Sourcing -- Chapter 5: Pillar #2: Information Integration and Exchange -- Chapter 6: Pillar #3: Information Governance and Quality -- Chapter 7: Pillar #4: Master Information Management -- Chapter 8: Pillar #5: Information Warehousing -- Chapter 9: Pillar #6: Information Delivery and Consumption -- Chapter 10: Pillar #8: Metadata Management -- Chapter 11: Pillar #9: Big Data Components -- Chapter 12: Building an Enterprise Information Management Solution -- Chapter 13: EIM in Today’s Business Environment -- Appendix A – Glossary -- Appendix B – EIM Tools in the Marketplace.-
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| 653 |
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|a Data mining
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|a Application software
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|a Data Mining and Knowledge Discovery
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|a Computer and Information Systems Applications
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|a eng
|2 ISO 639-2
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| 989 |
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|b Springer
|a Springer eBooks 2005-
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| 028 |
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|a 10.1007/978-1-4842-1218-9
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| 856 |
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|u https://doi.org/10.1007/978-1-4842-1218-9?nosfx=y
|x Verlag
|3 Volltext
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|a 005.3
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|a 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.
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|a 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.
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|a 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.
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