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

✍ Scribed by Saumya Chaki

• Publisher: Apress
• Year: 2016
• Tongue: English
• Leaves: 206
• Series: Database Management & Information Retrieval
• Category: Library

✦ Synopsis

Brings out the discipline of Enterprise Information Management from a practitioner’s standpoint.
Coverage of real life use cases of EIM in different industries
Delves on the building blocks that go into building a robust EIM solution.
Brings out the disruptive nature of Big Data with expanding data volumes and variety and its impact on an organization’s EIM strategy
One stop shop for students and practitioners of Enterprise Information Management.

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.

Number of Illustrations and Tables
76 illus.
Topics
Data Mining and Knowledge Discovery

✦ Table of Contents

Front Matter....Pages i-xxii
Enterprise Information Management: Definition, Scope, and History....Pages 1-5
The Lifecycle of Enterprise Information Management....Pages 7-14
Components of Enterprise Information Management....Pages 15-24
Pillar No. 1: Information Sourcing....Pages 25-31
Pillar No. 2: Information Integration and Exchange....Pages 33-47
Pillar No. 3: Information Governance and Quality....Pages 49-62
Pillar No. 4: Master Information Management....Pages 63-78
Pillar No. 5: Information Warehousing....Pages 79-96
Pillar No. 6: Information Delivery and Consumption....Pages 97-113
Pillar No. 7: Metadata Management....Pages 115-127
Pillar No. 8: Big Data Components....Pages 129-145
Building an Enterprise Information Management Solution....Pages 147-161
EIM in Today’s Business Environment....Pages 163-179
Glossary of Terms....Pages 181-189
Back Matter....Pages 191-197

✦ Subjects

Data Mining and Knowledge Discovery