Information lifecycle support


Book Description

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




The Canadian Health Information Management Lifecycle


Book Description

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.




Data Protection and Information Lifecycle Management


Book Description

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.




Data Governance: The Definitive Guide


Book Description

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.




SAP Information Lifecycle Management


Book Description

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




Enterprise Content Management in Information Systems Research


Book Description

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.




Enterprise Information Management in Practice


Book Description

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 Standards and Web Services in Libraries, Archives, and Museums


Book Description

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.




Modeling and Processing for Next-Generation Big-Data Technologies


Book Description

This book covers the latest advances in Big Data technologies and provides the readers with a comprehensive review of the state-of-the-art in Big Data processing, analysis, analytics, and other related topics. It presents new models, algorithms, software solutions and methodologies, covering the full data cycle, from data gathering to their visualization and interaction, and includes a set of case studies and best practices. New research issues, challenges and opportunities shaping the future agenda in the field of Big Data are also identified and presented throughout the book, which is intended for researchers, scholars, advanced students, software developers and practitioners working at the forefront in their field.




Implementing an InfoSphere Optim Data Growth Solution


Book Description

Today, organizations face tremendous challenges with data explosion and information governance. InfoSphereTM OptimTM solutions solve the data growth problem at the source by managing the enterprise application data. The Optim Data Growth solutions are consistent, scalable solutions that include comprehensive capabilities for managing enterprise application data across applications, databases, operating systems, and hardware platforms. You can align the management of your enterprise application data with your business objectives to improve application service levels, lower costs, and mitigate risk. In this IBM® Redbooks® publication, we describe the IBM InfoSphere Optim Data Growth solutions and a methodology that provides implementation guidance from requirements analysis through deployment and administration planning. We also discuss various implementation topics including system architecture design, sizing, scalability, security, performance, and automation. This book is intended to provide various systems development professionals, Data Solution Architects, Data Administrators, Modelers, Data Analysts, Data Integrators, or anyone who has to analyze or integrate data structures, a broad understanding about IBM InfoSphere Optim Data Growth solutions. By being used in conjunction with the product manuals and online help, this book provides guidance about implementing an optimal solution for managing your enterprise application data.