Making Eim Enterprise Information Management Work For Business

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. Organizes information modularly, so you can delve directly into the topics that you need to understand Based in reality with practical case studies and a focus on getting the job done, even when confronted with tight budgets, resistant stakeholders, and security and compliance issues Includes applicatory templates, examples, and advice for executing every step of an EIM program

Thought-provoking and accessible in approach, this updated and expanded second edition of the Making Enterprise Information Management (EIM) Work for Business: A Guide to Un provides a user-friendly introduction to the subject, Taking a clear structural framework, it guides the reader through the subject's core elements. A flowing writing style combines with the use of illustrations and diagrams throughout the text to ensure the reader understands even the most complex of concepts. This succinct and enlightening overview is a required reading for advanced graduate-level students. We hope you find this book useful in shaping your future career. Feel free to send us your enquiries related to our publications to [email protected] Rise Press

Learn how to effectively manage your data with the tools in SAP's EIM offering. From SAP Data Services to the latest solutions like SAP Power Designer, you'll learn what the different solutions are and how they work together. Then, get started using them for common tasks with the help of step-by-step instructions and guiding screenshots. This is the resource you need to make sure your enterprise is sitting on a solid foundation - of clean data Information on SAP's EIM Offerings Find detailed information on SAP's different EIM solutions to learn what they can do for you. In addition, see real-world, practical examples of these tools in use. Step-by-Step Instructions Get to know each EIM tool. Explore the steps you need to use the solutions for the most common tasks, and use the accompanying screenshots to make sure you're on track. The Classics and the Newcomers From SAP Data Services and SAP Information Steward to new topics like SAP HANA Cloud Integration and SAP Power Designer, find what you need to get started. Highlights: Information governance Data migration and archiving SAP EIM portfolio SAP HANA and Hadoop Rapid-deployment solutions SAP Data Services SAP Master Data Governance SAP HANA Cloud Integration SAP PowerDesigner SAP Information Steward SAP Information Lifecycle Management

​This book undertakes to marry the concepts of "Concept Mapping" with a "Design Thinking" approach in the context of business analysis. While in the past a lot of attention has been paid to the business process side, this book now focusses information quality and valuation, master data and hierarchy management, business rules automation and business semantics as examples for business innovation opportunities. The book shows how to take "Business Concept Maps" further as information models for new IT paradigms. In a way this books redefines and extends business analysis towards solutions that can be described as business synthesis or business development. Business modellers, analysts and controllers, as well as enterprise information architects, will benefit from the intuitive modelling and designing approach presented in this book. The pragmatic and agile methods presented can be directly applied to improve the way organizations manage their business concepts and their relationships. "This book is a great contribution to the information management community. It combines a theoretical foundation with practical methods for dealing with important problems. This is rare and very useful. Conceptual models that communicate business reality effectively require some degree of creative imagination. As such, they combine the results of business analysis with communication design, as is extensively covered in this book." Dr. Malcolm Chisholm, President at AskGet.com Inc. “Truly understanding business requirements has always been a major stumbling block in business intelligence (BI) projects. In this book, Thomas Frisendal introduces a powerful technique—business concept mapping—that creates a virtual mind-meld between business users and business analysts. Frisendal does a wonderful explaining and demonstrating how this tool can improve the outcome of BI and other development projects ." Wayne Eckerson, executive director, BI Leadership Forum

Digital Information Design (DID) Foundation Digital Information Design (DID) is primarily a business information management (BIM) model. As with any model it is used to help you to describe problems and test potential solutions. DID is not like any other method or framework model; it is independent of any other existing model or framework and does not claim to manage the entirety of the design of business information services. DID identifies useful and widely used best practices that are designed specifically for use in any phase of business information service development from idea, conception, specification, design, test, handover, service management and operation, or managing architectural issues or hardware and software installation. Primarily, DID was developed to manage the quality of information, and how to put it to good use. The DID model has been designed for you to identify what you need and when you need it when designing business information services and as a broad guide, identifies key points in existing frameworks that are particularly useful. The model is wholly independent of all other frameworks (including BiSL and BiSL Next in which the basic design is rooted). You can choose and use whatever you wish, the model will help you to assess the validity of your choice(s) and identify strengths and weaknesses in your approach. The DID model focuses on the common languages to describe key elements of design (need and value, mission and capability), key business information perspectives (business, information/data, services and technology) and the high-level domains (governance, strategy, improvement and operation) that must be managed in order to effectively run any business. DID helps you to identify only what you need to ensure that business information design reflects what is needed by your enterprise. The model can be used entirely separately from the framework level guidance discussed and it can be used at any level in the organization. The essentials of DID are explained in two books: this book, Foundation and the Practitioner book that will be published later.

Managing data continues to grow as a necessity for modern organizations. There are seemingly infinite opportunities for organic growth, reduction of costs, and creation of new products and services. It has become apparent that none of these opportunities can happen smoothly without data governance. The cost of exponential data growth and privacy / security concerns are becoming burdensome. Organizations will encounter unexpected consequences in new sources of risk. The solution to these challenges is also data governance; ensuring balance between risk and opportunity. Data Governance, Second Edition, is for any executive, manager or data professional who needs to understand or implement a data governance program. It is required to ensure consistent, accurate and reliable data across their organization. This book offers an overview of why data governance is needed, how to design, initiate, and execute a program and how to keep the program sustainable. This valuable resource provides comprehensive guidance to beginning professionals, managers or analysts looking to improve their processes, and advanced students in Data Management and related courses. With the provided framework and case studies all professionals in the data governance field will gain key insights into launching successful and money-saving data governance program. Incorporates industry changes, lessons learned and new approaches Explores various ways in which data analysts and managers can ensure consistent, accurate and reliable data across their organizations Includes new case studies which detail real-world situations Explores all of the capabilities an organization must adopt to become data driven Provides guidance on various approaches to data governance, to determine whether an organization should be low profile, central controlled, agile, or traditional Provides guidance on using technology and separating vendor hype from sincere delivery of necessary capabilities Offers readers insights into how their organizations can improve the value of their data, through data quality, data strategy and data literacy Provides up to 75% brand-new content compared to the first edition

For organizations operating in a modern business environment, adopting the latest information technologies (IT) is of paramount importance. Organizational decision makers are increasingly interested in IT acquisition, constantly seeking the most advanced solutions in order to give their constituents a distinct competitive advantage. Managing Enterprise Information Technology Acquisitions: Assessing Organizational Preparedness provides leaders and innovators with research and strategies to make the most of their options involving IT and organizational management approaches. This book will serve as a critical resource for leaders, managers, strategists, and other industry professionals who must be prepared to meet the constant changes in the field of information technologies in order to effectively guide their organizations and achieve their respective goals.

This book contains practical steps business users can take to implement data management in a number of ways, including data governance, data architecture, master data management, business intelligence, and others. It defines data strategy, and covers chapters that illustrate how to align a data strategy with the business strategy, a discussion on valuing data as an asset, the evolution of data management, and who should oversee a data strategy. This provides the user with a good understanding of what a data strategy is and its limits. Critical to a data strategy is the incorporation of one or more data management domains. Chapters on key data management domains—data governance, data architecture, master data management and analytics, offer the user a practical approach to data management execution within a data strategy. The intent is to enable the user to identify how execution on one or more data management domains can help solve business issues. This book is intended for business users who work with data, who need to manage one or more aspects of the organization’s data, and who want to foster an integrated approach for how enterprise data is managed. This book is also an excellent reference for students studying computer science and business management or simply for someone who has been tasked with starting or improving existing data management.