Enterprise Information Management (EIM) is a particular field of interest within information technology. It specializes in finding solutions for optimal use of information within organizations, for instance to support decision-making processes or day-to-day operations that require the availability of knowledge. It tries to overcome traditional IT-related barriers to managing information at an enterprise level.
EIM combines Enterprise Content Management (ECM), Business Process Management (BPM), Customer Experience Management (CEM), and Business Intelligence (BI). Whereas BI and ECM focus on the management of structured and unstructured information respectively , EIM does not make this distinctions but approaches the management of information from the perspective of the whole enterprise..
Making Enterprise Information Management (EIM) Work for Business: A Guide to Understanding Information as an Asset provides a comprehensive discussion of EIM. It endeavors to explain information asset management and place it into a pragmatic, focused, and relevant light.
The book is organized into two parts. Part 1 provides the material required to sell, understand, and validate the EIM program. It explains concepts such as treating Information, Data, and Content as true assets; information management maturity; and how EIM affects organizations. It also reviews the basic process that builds and maintains an EIM program, including two case studies that provide a birds-eye view of the products of the EIM program. Part 2 deals with the methods and artifacts necessary to maintain EIM and have the business manage information. Along with overviews of Information Asset concepts and the EIM process, it discusses how to initiate an EIM program and the necessary building blocks to manage the changes to managed data and content.
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 youâll 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 Chakiâan information management expert and consultant with IBMâexplains 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 deliveryâand to ensure the enterprise is making the most of its information assets.Â
Data stewards in business and IT are the backbone of a successful data governance implementation because they do the work to make a companyâs data trusted, dependable, and high quality. Data Stewardship explains everything you need to know to successfully implement the stewardship portion of data governance, including how to organize, train, and work with data stewards, get high-quality business definitions and other metadata, and perform the day-to-day tasks using a minimum of the stewardâs time and effort. David Plotkin has loaded this book with practical advice on stewardship so you can get right to work, have early successes, and measure and communicate those successes, gaining more support for this critical effort.
If youâre wondering what you need to know about SAPâs enterprise information management (EIM) solutions, look no further. This book explains the changing face of EIM at SAP: what the different products are (such as SAP Data Services, SAP Information Steward, SAP NetWeaver Information Lifecycle Management, SAP Master Data Governance, SAP HANA, Hadoop), how they work together, and how to get started using them. Get the big picture, and then dive into the detailsâthis book has you covered.
1. EIM Overview Clarify your understanding of the different EIM products that SAP offers, and learn how to decide which solution, or combination of solutions, is the best fit for a particular business.
2. SAP Data Services Explore the basics of SAP Data Services, including how to manage data quality, process text data, migrate data, and connect SAP Data Services with SAP HANA.
3. Important EIM Tasks Follow along as the authors use a fictional company to walk you through step-by-step instructions and screenshots that teach you some of the most important tasks in SAPâs EIM toolset.
4. Structured and Unstructured Data Find out how SAPâs EIM solutions can help you glean valuable information from text and other types of unstructured content.
5. High Volumes of Data Get a basic understanding of how "big data" fits into the SAP picture, with discussions of SAP HANA and Hadoop.
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