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

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.

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

What are the compelling business reasons for embarking on Enterprise Information Management EIM? Record-keeping requirements flow from the records needed as inputs, outputs, controls and for transformation of a Enterprise Information Management EIM process. ask yourself: are the records needed as inputs to the Enterprise Information Management EIM process available? What problems are you facing and how do you consider Enterprise Information Management EIM will circumvent those obstacles? How do we keep improving Enterprise Information Management EIM? Will team members perform Enterprise Information Management EIM work when assigned and in a timely fashion? This limited edition Enterprise Information Management EIM self-assessment will make you the assured Enterprise Information Management EIM domain adviser by revealing just what you need to know to be fluent and ready for any Enterprise Information Management EIM challenge. How do I reduce the effort in the Enterprise Information Management EIM work to be done to get problems solved? How can I ensure that plans of action include every Enterprise Information Management EIM task and that every Enterprise Information Management EIM outcome is in place? How will I save time investigating strategic and tactical options and ensuring Enterprise Information Management EIM opportunity costs are low? How can I deliver tailored Enterprise Information Management EIM advise instantly with structured going-forward plans? There's no better guide through these mind-expanding questions than acclaimed best-selling author Gerard Blokdyk. Blokdyk ensures all Enterprise Information Management EIM essentials are covered, from every angle: the Enterprise Information Management EIM self-assessment shows succinctly and clearly that what needs to be clarified to organize the business/project activities and processes so that Enterprise Information Management EIM outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced Enterprise Information Management EIM practitioners. Their mastery, combined with the uncommon elegance of the self-assessment, provides its superior value to you in knowing how to ensure the outcome of any efforts in Enterprise Information Management EIM are maximized with professional results. Your purchase includes access to the $249 value Enterprise Information Management EIM self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows your organization exactly what to do next. Your exclusive instant access details can be found in your book.

How an organization manages its information is arguably the most important skill in today’s dynamic and hyper-competitive environment. In Enterprise Information Management, editor Paul Baan and a team of expert contributors present a holistic approach to EIM, with an emphasis on action-oriented decision making. The authors demonstrate that EIM must be promoted from the top down, in order to ensure that the entire organization is committed to establishing and supporting the systems and processes designed to capture, store, analyze, and disseminate information. They identify three key “pillars” of applications: (1) business intelligence (the information and knowledge management process itself); (2) enterprise content management (company-wide management of unstructured information, including document management, digital asset management, records management, and web content management); and (3) enterprise search (using electronic tools to retrieve information from databases, file systems, and legacy systems). The authors explore EIM from economic and socio-psychological perspectives, considering the “ROI” (return on information) of IT and related technological investments, and the cultural and behavioral aspects through which people and machines interact. Illustrating concepts through case examples, the authors provide a variety of tools for managers to assess and improve the effectiveness of their EIM infrastructure, considering its implications for customer and client relations, process and system improvements, product and service innovations, and financial performance.

​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.

This book is for any manager or team leader that has the green light to implement a data governance program. The problem of managing data continues to grow with issues surrounding cost of storage, exponential growth, as well as administrative, management and security concerns – the solution to being able to scale all of these issues up is data governance which provides better services to users and saves money. What you will find in this book is an overview of why data governance is needed, how to design, initiate, and execute a program and how to keep the program sustainable. With the provided framework and case studies you will be enabled and educated in launching your very own successful and money saving data governance program. Provides a complete overview of the data governance lifecycle, that can help you discern technology and staff needs Specifically aimed at managers who need to implement a data governance program at their company Includes case studies to detail ‘do’s’ and ‘don’ts’ in real-world situations