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This publication provides a comprehensive and much-needed source of information on data and information management - ideal in the current climate of information losses. It examines the effective production, coordination, storage, retrieval, dissemination and management of information from internal and external sources in order to improve the performance of an organization. Information is an organisation's most valuable resource (not IT) and its use overall has to be effectively managed
This HIM lifecycle resource will be useful to a wide range of jurisdictions that manage health information. The document will provide a summary of the recommended leading practices and principles related to managing health information throughout its lifecycle, regardless of the type of jurisdiction or information media. -- Publisher's website.
This book introduces Information Lifecycle Management (ILM), a powerful new strategy for managing enterprise information based on its value over time. The author explains emerging techniques for protecting storage systems and storage networks, and for integrating storage security into your overall security plan. He also presents new technical advances and opportunities to improve existing data-protection processes, including backup/restore, replication, and remote copy.
As your company moves data to the cloud, you need to consider a comprehensive approach to data governance, along with well-defined and agreed-upon policies to ensure you meet compliance. Data governance incorporates the ways that people, processes, and technology work together to support business efficiency. With this practical guide, chief information, data, and security officers will learn how to effectively implement and scale data governance throughout their organizations. You'll explore how to create a strategy and tooling to support the democratization of data and governance principles. Through good data governance, you can inspire customer trust, enable your organization to extract more value from data, and generate more-competitive offerings and improvements in customer experience. This book shows you how. Enable auditable legal and regulatory compliance with defined and agreed-upon data policies Employ better risk management Establish control and maintain visibility into your company's data assets, providing a competitive advantage Drive top-line revenue and cost savings when developing new products and services Implement your organization's people, processes, and tools to operationalize data trustworthiness.
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.
Master SAP ILM, from retention management to lifecycle management for custom code. Follow step-by-step instructions and walk through all major functionality including policy creation, legal case management, data archiving, and more. Whether you're on SAP S/4HANA, SAP S/4HANA Cloud, or SAP ERP, you'll find the details you need to configure and use SAP ILM. Control and protect your data! Highlights include: 1) Retention management 2) GDPR 3) Data security 4) Blocking data 5) Data deletion 6) Archiving data 7) Legal case management 8) Data controller rule framework 9) Custom code data lifecycle 10) SAP S/4HANA 11) SAP S/4HANA Cloud 12) SAP ERP HCM
An information infrastructure is comprised of software, servers, storage, and networks, integrated and optimized to deliver timely, secure, and trusted information throughout the organization and to its clients and partners. With the explosive growth in data and information—coupled with demands for projects with rapid ROI—IT infrastructures and storage administrators are reaching a breaking point. IBM® can help with the changes needed to manage information availability, security, and regulatory and compliance requirements on a tighter budget. And because the health of any business often depends on its ability to take advantage of information in real time, a sound, intelligent information infrastructure becomes critical to supporting new growth initiatives. IBM offers an innovative approach to help you manage information growth more effectively and mitigate risks with a dynamic infrastructure that efficiently and securely stores and protects information, and optimizes information access. You can control, protect, manage, and gain new intelligence from your information with the IBM leading-edge Information Infrastructure products, services and integrated solutions, supported by world-class expertise and access to top experts from around the world. This IBM Redbooks® publication provides an overview of the IBM Information Infrastructure solutions that are designed to help you manage the information explosion and address challenges of information compliance, availability, retention, and security. This will lead your company toward improved productivity, service delivery, and reduced risk, while streamlining costs.
This book collects ECM research from the academic discipline of Information Systems and related fields to support academics and practitioners who are interested in understanding the design, use and impact of ECM systems. It also provides a valuable resource for students and lecturers in the field. “Enterprise content management in Information Systems research – Foundations, methods and cases” consolidates our current knowledge on how today’s organizations can manage their digital information assets. The business challenges related to organizational information management include reducing search times, maintaining information quality, and complying with reporting obligations and standards. Many of these challenges are well-known in information management, but because of the vast quantities of information being generated today, they are more difficult to deal with than ever. Many companies use the term “enterprise content management” (ECM) to refer to the management of all forms of information, especially unstructured information. While ECM systems promise to increase and maintain information quality, to streamline content-related business processes, and to track the lifecycle of information, their implementation poses several questions and challenges: Which content objects should be put under the control of the ECM system? Which processes are affected by the implementation? How should outdated technology be replaced? Research is challenged to support practitioners in answering these questions.
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.
Metadata in library information environments is evolving rapidly. This book provides readers with a set of tools for designing, developing, and implementing metadata-rich information systems while also examining the challenges and opportunities in this field. As the world of library and information science has developed in the age of digital information, metadata and metadata-rich information systems have become increasingly important—and more complex and confusing. This book will enable students, instructors, and practitioners in the information science field to understand how these new systems and standards will impact their careers and professions. Author Erik Mitchell explores definitions of information and presents an up-to-date consideration of user needs in information systems to provide necessary background before moving on to in-depth discussions of metadata, information organization practice, and information system design. Each chapter incorporates hands-on activities to complement the reading material, allowing readers to build technical skills alongside the important conceptual learning in this content area. Readers will gain conceptual understanding and skills that will allow them to analyze and transform structured data, develop metadata-rich information systems, and design systems with user needs and digital literacies in mind. This book is intended for library and information science students taking information organization, metadata, or other core "digital cataloging" classes, but will also be highly useful for professionals seeking to learn the details of metadata systems and theory using a hands-on approach.