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| asset control data management: A Primer in Financial Data Management Martijn Groot, 2017-05-10 A Primer in Financial Data Management describes concepts and methods, considering financial data management, not as a technological challenge, but as a key asset that underpins effective business management. This broad survey of data management in financial services discusses the data and process needs from the business user, client and regulatory perspectives. Its non-technical descriptions and insights can be used by readers with diverse interests across the financial services industry. The need has never been greater for skills, systems, and methodologies to manage information in financial markets. The volume of data, the diversity of sources, and the power of the tools to process it massively increased. Demands from business, customers, and regulators on transparency, safety, and above all, timely availability of high quality information for decision-making and reporting have grown in tandem, making this book a must read for those working in, or interested in, financial management. - Focuses on ways information management can fuel financial institutions' processes, including regulatory reporting, trade lifecycle management, and customer interaction - Covers recent regulatory and technological developments and their implications for optimal financial information management - Views data management from a supply chain perspective and discusses challenges and opportunities, including big data technologies and regulatory scrutiny |
| asset control data management: DAMA-DMBOK Dama International, 2017 Defining a set of guiding principles for data management and describing how these principles can be applied within data management functional areas; Providing a functional framework for the implementation of enterprise data management practices; including widely adopted practices, methods and techniques, functions, roles, deliverables and metrics; Establishing a common vocabulary for data management concepts and serving as the basis for best practices for data management professionals. DAMA-DMBOK2 provides data management and IT professionals, executives, knowledge workers, educators, and researchers with a framework to manage their data and mature their information infrastructure, based on these principles: Data is an asset with unique properties; The value of data can be and should be expressed in economic terms; Managing data means managing the quality of data; It takes metadata to manage data; It takes planning to manage data; Data management is cross-functional and requires a range of skills and expertise; Data management requires an enterprise perspective; Data management must account for a range of perspectives; Data management is data lifecycle management; Different types of data have different lifecycle requirements; Managing data includes managing risks associated with data; Data management requirements must drive information technology decisions; Effective data management requires leadership commitment. |
| asset control data management: Automatic Data Processing Management Handbook United States Army Soldier Support Institute, 1985 |
| asset control data management: The Data Asset Anthony Fisher, 2009 An indispensable guide that shows companies how to treat data as a strategic assetOrganizations set their business strategy and direction based on information that is available to executives. The Data Asset provides guidance for not only building the business case for data quality and data governance, but also for developing methodologies and processes that will enable your organization to better treat its data as a strategic asset. Part of Wiley's SAS Business Series, this book looks at Business Case Building; Maturity Model and Organization Capabilities; 7-Step Programmatic Approach for Succe. |
| asset control data management: Wall Street & Technology , 2005 |
| asset control data management: Road Transport and Intermodal Linkages Research Programme Asset Management for the Roads Sector OECD, 2001-07-06 This report examines the requirements of asset management systems, the integration of existing component systems into a comprehensive approach to asset management, the incorporation of a business-like approach, performance monitoring and the implementation of such systems. |
| asset control data management: Data as a Service Pushpak Sarkar, 2015-07-31 Data as a Service shows how organizations can leverage “data as a service” by providing real-life case studies on the various and innovative architectures and related patterns Comprehensive approach to introducing data as a service in any organization A reusable and flexible SOA based architecture framework Roadmap to introduce ‘big data as a service’ for potential clients Presents a thorough description of each component in the DaaS reference architecture so readers can implement solutions |
| asset control data management: Official Gazette of the United States Patent and Trademark Office , 2004 |
| asset control data management: Proceedings of the 10th World Congress on Engineering Asset Management (WCEAM 2015) Kari T. Koskinen, Helena Kortelainen, Jussi Aaltonen, Teuvo Uusitalo, Kari Komonen, Joseph Mathew, Jouko Laitinen, 2016-03-25 This book comprises refereed papers from the 10th World Congress on Engineering Asset Management (WCEAM 2015), held in Tampere, Finland in September 2015. These proceedings include a compilation of state-of-the-art papers covering a comprehensive range of subjects equally relevant to business managers and engineering professionals alike. With a focus on various aspects of engineering asset management ranging from strategic level issues to detail-level machine health issues, these papers address both industry and public sector concerns and issues, as well as advanced academic research. Proceedings of the WCEAM 2015 is an excellent reference and resource for asset management practitioners, researchers and academics, as well as undergraduate and postgraduate students at tertiary institutions or in the industry. |
| asset control data management: It Governance Michael Wallace, Larry Webber, 2015-09-01 IT Governance: Policies and Procedures, 2016 Edition is the premier decision-making reference to help you to devise an information systems policy and procedure program uniquely tailored to the needs of your organization. Not only does it provide extensive sample policies, but this valuable resource gives you the information you need to develop useful and effective policies for your unique environment. IT Governance: Policies andamp; Procedures provides fingertip access to the information you need on: Policy and planning Documentation Systems analysis and design And more! |
| asset control data management: National Guard Bureau Manual United States. National Guard Bureau, 1979 |
| asset control data management: Logistics Systems , 1986 |
| asset control data management: Asset Management Excellence Don M. Barry, 2024-02-09 This is the third edition of Asset Management Excellence: Optimizing Equipment Life-Cycle Decisions. This edition acknowledges and introduces the many changes to the Asset Management business while continuing to explain the supporting fundamentals. Since the second edition, there have been many influences of change in asset management, society’s expectations, and supporting technologies. In this edition, the contributors have revisited the content and have updated and added insights and information based on the emerging influences in thinking and the continued evolution of applied technologies since the prior editions. New in the Third Edition: Updates across each of the second edition chapters to align with today’s insights Updates on technologies now available to support Asset Management, including related software packaging, the Internet of Things (IoT), Machine Learning, and Artificial Intelligence Insights on how Information Technology can step up to help an asset-intensive organization compete, drive to operational excellence and automation A chapter on sustainability and the influence Asset Management may have on this higher-focus priority A chapter on change enablement as the process and technology changes impact the various stakeholders of asset-intensive organizations The fundamentals of Asset Management are essential as Asset-intensive organizations look to technologies to help them compete. AI is becoming pervasive but must be confirmed and aligned with the fundamentals. This edition will provoke thought as each organization determines its next steps toward its new challenges in Asset Management. |
| asset control data management: Information Systems for Engineering and Infrastructure Asset Management Abrar Haider, 2012-11-08 Engineering and infrastructure assets maintain the lifeline of economies. It is, therefore, critical to manage these assets in such a way that they provide a consistent level of service throughout their lifecycle. Management of asset lifecycle, however, is information intensive and utilises a plethora of information systems. The role of theses systems in asset management is much more profound. It extends beyond the organizational boundaries and addresses business relationships with external stakeholders to deliver enhanced level of business outcomes. In doing so information systems are not only required to translate business strategic considerations into action, but are also expected to produce learnings and feedback that informs business strategy and aids in strategic reorientation. |
| asset control data management: Data Model Scorecard Steve Hoberman, 2015-11-01 Data models are the main medium used to communicate data requirements from business to IT, and within IT from analysts, modelers, and architects, to database designers and developers. Therefore it’s essential to get the data model right. But how do you determine right? That’s where the Data Model Scorecard® comes in. The Data Model Scorecard is a data model quality scoring tool containing ten categories aimed at improving the quality of your organization’s data models. Many of my consulting assignments are dedicated to applying the Data Model Scorecard to my client’s data models – I will show you how to apply the Scorecard in this book. This book, written for people who build, use, or review data models, contains the Data Model Scorecard template and an explanation along with many examples of each of the ten Scorecard categories. There are three sections: In Section I, Data Modeling and the Need for Validation, receive a short data modeling primer in Chapter 1, understand why it is important to get the data model right in Chapter 2, and learn about the Data Model Scorecard in Chapter 3. In Section II, Data Model Scorecard Categories, we will explain each of the ten categories of the Data Model Scorecard. There are ten chapters in this section, each chapter dedicated to a specific Scorecard category: · Chapter 4: Correctness · Chapter 5: Completeness · Chapter 6: Scheme · Chapter 7: Structure · Chapter 8: Abstraction · Chapter 9: Standards · Chapter 10: Readability · Chapter 11: Definitions · Chapter 12: Consistency · Chapter 13: Data In Section III, Validating Data Models, we will prepare for the model review (Chapter 14), cover tips to help during the model review (Chapter 15), and then review a data model based upon an actual project (Chapter 16). |
| asset control data management: Risk , 2007-07 |
| asset control data management: Engineering Asset Management Joseph Mathew, Lin Ma, Andy Tan, Deryk Anderson, 2008-02-06 It is with great pleasure that we welcome you to the inaugural World Congress on Engineering Asset Management (WCEAM) being held at the Conrad Jupiters Hotel on the Gold Coast from July 11 to 14, 2006. More than 170 authors from 28 countries have contributed over 160 papers to be presented over the first three days of the conference. Day four will be host to a series of workshops devoted to the practice of various aspects of Engineering Asset Management. WCEAM is a new annual global forum on the various multidisciplinary aspects of Engineering Asset Management. It deals with the presentation and publication of outputs of research and development activities as well as the application of knowledge in the practical aspects of: strategic asset management risk management in asset management design and life-cycle integrity of physical assets asset performance and level of service models financial analysis methods for physical assets reliability modelling and prognostics information systems and knowledge management asset data management, warehousing and mining condition monitoring and intelligent maintenance intelligent sensors and devices regulations and standards in asset management human dimensions in integrated asset management education and training in asset management and performance management in asset management. We have attracted academics, practitioners and scientists from around the world to share their knowledge in this important emerging transdiscipline that impacts on almost every aspect of daily life. |
| asset control data management: Physical Asset Management Nicholas Anthony John Hastings, 2015-02-21 Significantly extended from the first edition and published in response to the new international standard ISO55000, this book on physical asset management (2nd Ed.) presents a systematic approach to the management of physical assets from concept to disposal. It introduces the general principles of physical asset management and covers all stages of the asset management process, including initial business appraisal, identification of fixed asset needs, capability gap analysis, financial evaluation, logistic support analysis, life cycle costing, management of in-service assets, maintenance strategy, outsourcing, cost-benefit analysis, disposal and renewal. Physical asset management is the management of fixed assets such as equipment, plant, buildings and infrastructure. Features include: *Suitable for university courses and builds on first edition to provide further analytical material *Aligned with the international asset management standard ISO55000 *Provides a basis for the establishment of physical asset management as a professional discipline *Presents case studies, analytical techniques and numerical examples with solutions Written for practitioners and students in asset management, this textbook provides an essential foundation to the topic. It is suitable for an advanced undergraduate or postgraduate course in asset management, and also offers an ideal reference text for engineers and managers specializing in asset management, reliability, maintenance, logistics or systems engineering. |
| asset control data management: Optimization and Decision Science: Methodologies and Applications Antonio Sforza, Claudio Sterle, 2017-11-03 This proceedings volume highlights the state-of-the-art knowledge related to optimization, decisions science and problem solving methods, as well as their application in industrial and territorial systems. It includes contributions tackling these themes using models and methods based on continuous and discrete optimization, network optimization, simulation and system dynamics, heuristics, metaheuristics, artificial intelligence, analytics, and also multiple-criteria decision making. The number and the increasing size of the problems arising in real life require mathematical models and solution methods adequate to their complexity. There has also been increasing research interest in Big Data and related challenges. These challenges can be recognized in many fields and systems which have a significant impact on our way of living: design, management and control of industrial production of goods and services; transportation planning and traffic management in urban and regional areas; energy production and exploitation; natural resources and environment protection; homeland security and critical infrastructure protection; development of advanced information and communication technologies. The chapters in this book examine how to deal with new and emerging practical problems arising in these different fields through the presented methodologies and their applications. The chapter topics are applicable for researchers and practitioners working in these areas, but also for the operations research community. The contributions were presented during the international conference “Optimization and Decision Science” (ODS2017), held at Hilton Sorrento Palace Conference Center, Sorrento, Italy, September 4 – 7, 2017. ODS 2017, was organized by AIRO, Italian Operations Research Society, in cooperation with DIETI (Department of Electrical Engineering and Information Technology) of University “Federico II” of Naples. |
| asset control data management: Information Asset Management James Price, Nina Evans, 2024-01-31 Organisations are using data, information and knowledge as a competitive weapon. Their data, information and knowledge are arguably their most valuable assets. Yet, this fourth asset is managed badly when compared to the other three assets, namely money, people and infrastructure with considerable risk to the organisation. Executives are accountable for the success of their organisations, and those who don’t manage this critical resource and business enabler effectively can be regarded as negligent. Information Assets carry enormous risk and value. Most boards and executives don’t know how to govern and manage IAs effectively and nobody is held accountable. Given this, organisations should govern and manage their Information Assets the way they manage their Financial Assets. The benefits of managing IAs well are compelling. These benefits include increased efficiency, productivity, employee satisfaction, improved decision-making, mitigating business risk and improving product, protecting corporate reputation and service delivery. Drawing on ground-breaking research, this book explains why Information Assets are so important to organisations and the barriers to managing them well. This book is unique in the sense that it takes a fresh look at this topic, is based on experience and research, and includes interviews from more than 70 industry leaders. In short, this book is written by executives and explains where to start. |
| asset control data management: Principles of Database Management Wilfried Lemahieu, Seppe vanden Broucke, Bart Baesens, 2018-07-12 This comprehensive textbook teaches the fundamentals of database design, modeling, systems, data storage, and the evolving world of data warehousing, governance and more. Written by experienced educators and experts in big data, analytics, data quality, and data integration, it provides an up-to-date approach to database management. This full-color, illustrated text has a balanced theory-practice focus, covering essential topics, from established database technologies to recent trends, like Big Data, NoSQL, and more. Fundamental concepts are supported by real-world examples, query and code walkthroughs, and figures, making it perfect for introductory courses for advanced undergraduates and graduate students in information systems or computer science. These examples are further supported by an online playground with multiple learning environments, including MySQL, MongoDB, Neo4j Cypher, and tree structure visualization. This combined learning approach connects key concepts throughout the text to the important, practical tools to get started in database management. |
| asset control data management: Economics—Advances in Research and Application: 2013 Edition , 2013-06-21 Economics—Advances in Research and Application: 2013 Edition is a ScholarlyEditions™ book that delivers timely, authoritative, and comprehensive information about Tariffs. The editors have built Economics—Advances in Research and Application: 2013 Edition on the vast information databases of ScholarlyNews.™ You can expect the information about Tariffs in this book to be deeper than what you can access anywhere else, as well as consistently reliable, authoritative, informed, and relevant. The content of Economics—Advances in Research and Application: 2013 Edition has been produced by the world’s leading scientists, engineers, analysts, research institutions, and companies. All of the content is from peer-reviewed sources, and all of it is written, assembled, and edited by the editors at ScholarlyEditions™ and available exclusively from us. You now have a source you can cite with authority, confidence, and credibility. More information is available at http://www.ScholarlyEditions.com/. |
| asset control data management: Army Logistician , 1990 |
| asset control data management: Digital Asset Management David Austerberry, 2012-10-12 Content and media asset management systems are core back office applications of the modern day broadcaster, yet there is little information available on the control and management of these systems and how content can be delivered over a variety of different channels: television, iTV, internet, webcasting, mobile phones and wireless PDAs. This book explains the potential for applying asset management systems to content creation models for distribution over a variety of outlets and the benefits gained from increased efficiency and lowering of costs. Taking an unbiased view and focusing on core principles rather than specific systems, David Austerberry presents the business case for digital asset management systems, demystifies some assumptions regarding the technology and provides a thorough introduction to the system components required, such as indexing, searching, middleware, database and rightsmanagement and web portals. |
| asset control data management: Digital Asset Management Unknown Author, 2012-10-12 Content and media asset management systems are core back office applications of the modern day broadcaster, yet there is little information available on the control and management of these systems and how content can be delivered over a variety of different channels: television, iTV, internet, webcasting, mobile phones and wireless PDAs. This book explains the potential for applying asset management systems to content creation models for distribution over a variety of outlets and the benefits gained from increased efficiency and lowering of costs. Taking an unbiased view and focusing on core principles rather than specific systems, David Austerberry presents the business case for digital asset management systems, demystifies some assumptions regarding the technology and provides a thorough introduction to the system components required, such as indexing, searching, middleware, database and rightsmanagement and web portals. |
| asset control data management: ITAMOrg® Hardware Asset Management Specialist Courseware Jacob Oberg, 2020-12-16 ITAMOrg® IT Hardware Asset Management Certifications is suitable for individuals wanting to demonstrate they have achieved sufficient understanding of how to apply and tailor the Hardware Asset Management practices. Hardware Asset Management (HAM) is important for every organization. Management and control of hardware influences the risk on most asset types such as Software, Cloud & Services and People and Information assets. E.g., if you are not in control of what hardware is in use it is not possible for you to control your software which will result in software license in-compliance and other risks. The Hardware Asset Management Specialist Certification brings participants IT Service Management best practices together with Hardware Asset Management best practices. This will help an organization to implement Hardware Asset Management lifecycle processes and showing how IT Service Management can support HAM lifecycles to be in control and support the other Asset types. The purpose of the ITAMOrg Hardware Asset Management Specialist (HAMS) course and certification is to provide knowledge on best practices and use of Hardware Asset Management (HAM) in the challenges that Hardware Asset Managers face on a daily basis. This certification is based on a practical approach to strengthen the participants understanding of how ISO 55000 and IT Service Management best practice relates to everyday use of HAM, Hardware standards, Hardware lifecycle control, control of retirement and disposal and organizational issues that saturates many businesses in today’s digital world. This Courseware is suited for the ITAMOrg® 2020 HAM exam. There is also a sample exam added of the ITAMOrg® 2020 Hardware Asset Management in case the participant prefers to refresh its knowledge. The Exam is delivered in English. |
| asset control data management: Legal Data for Banking Akber Datoo, 2019-04-26 A practical, informative guide to banks’ major weakness Legal Data for Banking defines the legal data domain in the context of financial institutions, and describes how banks can leverage these assets to optimise business lines and effectively manage risk. Legal data is at the heart of post-2009 regulatory reform, and practitioners need to deepen their grasp of legal data management in order to remain compliant with new rules focusing on transparency in trade and risk reporting. This book provides essential information for IT, project management and data governance leaders, with detailed discussion of current and best practices. Many banks are experiencing recurrent pain points related to legal data management issues, so clear explanations of the required processes, systems and strategic governance provide immediately-relevant relief. The recent financial crisis following the collapse of major banks had roots in poor risk data management, and the regulators’ unawareness of accumulated systemic risk stemming from contractual obligations between firms. To avoid repeating history, today’s banks must be proactive in legal data management; this book provides the critical knowledge practitioners need to put the necessary systems and practices in place. Learn how current legal data management practices are hurting banks Understand the systems, structures and strategies required to manage risk and optimise business lines Delve into the regulations surrounding risk aggregation, netting, collateral enforceability and more Gain practical insight on legal data technology, systems and migration The legal contracts between firms contain significant obligations that underpin the financial markets; failing to recognise these terms as valuable data assets means increased risk exposure and untapped business lines. Legal Data for Banking provides critical information for the banking industry, with actionable guidance for implementation. |
| asset control data management: Air Force Manual United States. Department of the Air Force, 1975 |
| asset control data management: Computerworld , 2004-09-27 For more than 40 years, Computerworld has been the leading source of technology news and information for IT influencers worldwide. Computerworld's award-winning Web site (Computerworld.com), twice-monthly publication, focused conference series and custom research form the hub of the world's largest global IT media network. |
| asset control data management: The Data and Analytics Playbook Lowell Fryman, Gregory Lampshire, Dan Meers, 2016-08-12 The Data and Analytics Playbook: Proven Methods for Governed Data and Analytic Quality explores the way in which data continues to dominate budgets, along with the varying efforts made across a variety of business enablement projects, including applications, web and mobile computing, big data analytics, and traditional data integration. The book teaches readers how to use proven methods and accelerators to break through data obstacles to provide faster, higher quality delivery of mission critical programs. Drawing upon years of practical experience, and using numerous examples and an easy to understand playbook, Lowell Fryman, Gregory Lampshire, and Dan Meers discuss a simple, proven approach to the execution of multiple data oriented activities. In addition, they present a clear set of methods to provide reliable governance, controls, risk, and exposure management for enterprise data and the programs that rely upon it. In addition, they discuss a cost-effective approach to providing sustainable governance and quality outcomes that enhance project delivery, while also ensuring ongoing controls. Example activities, templates, outputs, resources, and roles are explored, along with different organizational models in common use today and the ways they can be mapped to leverage playbook data governance throughout the organization. - Provides a mature and proven playbook approach (methodology) to enabling data governance that supports agile implementation - Features specific examples of current industry challenges in enterprise risk management, including anti-money laundering and fraud prevention - Describes business benefit measures and funding approaches using exposure based cost models that augment risk models for cost avoidance analysis and accelerated delivery approaches using data integration sprints for application, integration, and information delivery success |
| asset control data management: Water, Wastewater, and Stormwater Infrastructure Management Neil S. Grigg, 2012-06-08 Urban water services are building blocks for healthy cities, and they require complex and expensive infrastructure systems. Most of the infrastructure is out of sight and tends to be taken for granted, but an infrastructure financing crisis looms in the United States because the systems are aging and falling behind on maintenance. A road map for pu |
| asset control data management: Intelligent Digital Oil and Gas Fields Gustavo Carvajal, Marko Maucec, Stan Cullick, 2017-12-05 Intelligent Digital Oil and Gas Fields: Concepts, Collaboration, and Right-time Decisions delivers to the reader a roadmap through the fast-paced changes in the digital oil field landscape of technology in the form of new sensors, well mechanics such as downhole valves, data analytics and models for dealing with a barrage of data, and changes in the way professionals collaborate on decisions. The book introduces the new age of digital oil and gas technology and process components and provides a backdrop to the value and experience industry has achieved from these in the last few years. The book then takes the reader on a journey first at a well level through instrumentation and measurement for real-time data acquisition, and then provides practical information on analytics on the real-time data. Artificial intelligence techniques provide insights from the data. The road then travels to the integrated asset by detailing how companies utilize Integrated Asset Models to manage assets (reservoirs) within DOF context. From model to practice, new ways to operate smart wells enable optimizing the asset. Intelligent Digital Oil and Gas Fields is packed with examples and lessons learned from various case studies and provides extensive references for further reading and a final chapter on the next generation digital oil field, e.g., cloud computing, big data analytics and advances in nanotechnology. This book is a reference that can help managers, engineers, operations, and IT experts understand specifics on how to filter data to create useful information, address analytics, and link workflows across the production value chain enabling teams to make better decisions with a higher degree of certainty and reduced risk. - Covers multiple examples and lessons learned from a variety of reservoirs from around the world and production situations - Includes techniques on change management and collaboration - Delivers real and readily applicable knowledge on technical equipment, workflows and data challenges such as acquisition and quality control that make up the digital oil and gas field solutions of today - Describes collaborative systems and ways of working and how companies are transitioning work force to use the technology and making more optimal decisions |
| asset control data management: Computer Security. ESORICS 2023 International Workshops Sokratis Katsikas, |
| asset control data management: Newsletter , 1972 |
| asset control data management: CORE BANKING SOLUTION M. REVATHY SRIRAM, 2013-09-05 This compact and concise study provides a clear insight into the concepts of Core Banking Solution (CBS)—a set of software components that offer today’s banking market a robust operational customer database and customer administration. It attempts to make core banking solution familiar to the professionals and regulatory authorities, who are responsible for the control and security of banks, and shows that by using CBS, banking services can be made more customer friendly. This well-organized text, divided into two parts and five sections, begins (Part I) with the need for core banking solution technology in banking system, its implementation and practice. It then goes on to a detailed discussion on various technology implications of ATM, Internet banking, cash management system and so on. Part I concludes with Business Continuity Planning (BCP) and Disaster Recovery Planning (DCP). Part II focuses on components of audit approach of a bank where the core banking solution has been in operation. Besides, usage of audit tools and study of audit logs have been discussed. The Second Edition includes new sections on outsourcing of ATM operations, printing of ATM card, printing of Pin Mailers, mobile banking, Point of Sale (POS), financial inclusion, vulnerability assessment, penetration testing and so on. Besides, many topics have been discussed extensively and updated to make the book more comprehensive and complete. Key Features • Suggested checklists for performing audits are included. • An exclusive chapter is devoted to Case Studies based on fraudulent activities in banks due to lack of security and controls. • Useful Web references have been provided. • Contains relevant standards of international body ISACA, USA. This book would be useful for Chartered Accountants who are Auditors of various banks. It would help the External System Auditors and the Auditors who perform concurrent system audit of banks and also the Officers of the Department of Banking Supervision of the Reserve Bank of India and others who have the responsibilities of regulating the security and controls in the banks. In addition, it would be extremely useful to the bankers who have Information Technology as one of the subjects for the CAIIB examination. |
| asset control data management: Asset Intelligence through Integration and Interoperability and Contemporary Vibration Engineering Technologies Joseph Mathew, C.W. Lim, Lin Ma, Don Sands, Michael E. Cholette, Pietro Borghesani, 2018-11-11 These proceedings include a collection of papers on a range of topics presented at the 12th World Congress on Engineering Asset Management (WCEAM) in Brisbane, 2 – 4 August 2017. Effective strategies are required for managing complex engineering assets such as built environments, infrastructure, plants, equipment, hardware systems and components. Following the release of the ISO 5500x set of standards in 2014, the 12th WCEAM addressed important issues covering all aspects of engineering asset management across various sectors including health. The topics discussed by the congress delegates are grouped into a number of tracks, including strategies for investment and divestment of assets, operations and maintenance of assets, assessment of assets’ health conditions, risk and vulnerability, technologies, and systems for management of assets, standards, education, training and certification. |
| asset control data management: AR 710-3 02/25/2008 INVENTORY MANAGEMENT ASSET AND TRANSACTION REPORTING SYSTEM , Survival Ebooks Us Department Of Defense, www.survivalebooks.com, Department of Defense, Delene Kvasnicka, United States Government US Army, United States Army, Department of the Army, U. S. Army, Army, DOD, The United States Army, AR 710-3 02/25/2008 INVENTORY MANAGEMENT ASSET AND TRANSACTION REPORTING SYSTEM , Survival Ebooks |
| asset control data management: Advances in Production Management Systems. Production Management for the Factory of the Future Farhad Ameri, Kathryn E. Stecke, Gregor von Cieminski, Dimitris Kiritsis, 2019-08-23 The two-volume set IFIP AICT 566 and 567 constitutes the refereed proceedings of the International IFIP WG 5.7 Conference on Advances in Production Management Systems, APMS 2019, held in Austin, TX, USA. The 161 revised full papers presented were carefully reviewed and selected from 184 submissions. They discuss globally pressing issues in smart manufacturing, operations management, supply chain management, and Industry 4.0. The papers are organized in the following topical sections: lean production; production management in food supply chains; sustainability and reconfigurability of manufacturing systems; product and asset life cycle management in smart factories of industry 4.0; variety and complexity management in the era of industry 4.0; participatory methods for supporting the career choices in industrial engineering and management education; blockchain in supply chain management; designing and delivering smart services in the digital age; operations management in engineer-to-order manufacturing; the operator 4.0 and the Internet of Things, services and people; intelligent diagnostics and maintenance solutions for smart manufacturing; smart supply networks; production management theory and methodology; data-driven production management; industry 4.0 implementations; smart factory and IIOT; cyber-physical systems; knowledge management in design and manufacturing; collaborative product development; ICT for collaborative manufacturing; collaborative technoloy; applications of machine learning in production management; and collaborative technology. |
| asset control data management: Computerworld , 1984-07-30 For more than 40 years, Computerworld has been the leading source of technology news and information for IT influencers worldwide. Computerworld's award-winning Web site (Computerworld.com), twice-monthly publication, focused conference series and custom research form the hub of the world's largest global IT media network. |
| asset control data management: Database Management and Control Ken S. Brathwaite, 1990 Based on case studies and real-world strategies that have been successfully applied at several corporations, here is a valuable collection of solutions for virtually any database problem. Covers disaster recovery planning, data analysis techniques, and data dictionaries in systems design. |
The Power of Data-Driven Asset Management I Accenture
Transforming data into an asset should be focused on having authoritative sources for key data domains in asset management, namely: account/product, security, price and index/benchmark.
Optimizing Digital Asset Data in Transport & Infrastructure
Asset data management is a process of resource allocation, optimization and utilization. Digital asset data management (DADM) takes a multidisciplinary approach to centralizing the …
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We provide a wide-range of value throughout the entire asset lifecycle, advising clients on improvements to processes, controls, data, and systems across key functional capabilities. …
Asset Management Data Collection - FHWA West Virginia …
One of the key aspects of the development of Asset Management is data collection. The way in which transportation agencies collect, store, and analyze data has evolved along with …
Utilizing asset data for predictive asset management - Emerson
diagnostic data on the performance of key assets—and ultimately the performance of the entire facility. Asset management systems, like Emerson’s AMS Suite predictive maintenance …
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• Define asset management standards and data attributes • Establish a centralized, single source asset repository for the collection of IT assets • Establish access controls for the asset …
'Asset Management Operations and Controls,' Comptroller's …
Asset Management UOperations and Controls Overview. This booklet provides guidance applicable to core Asset Management operations functions and to internal controls and …
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Connect plant floor performance data to maximize production and operational visibility. Analyze trends and compare operational data against other KPIs to discover new opportunities for …
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In this article we shall be focussing specifically on a manual approach to asset visibility within Industrial Control System (ICS)/OT environments and how it can be a useful alongside other …
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Asset Control: Keep extensive asset data for full financial control. Automated Classification: Auto-set capitalization status based on cost. Asset Handling: Efficiently manage asset additions, …
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We have to know what we have before we can manage appropriately what residual life is left. Everything in AM starts with the Asset Registry. The “data standard” is the key building block …
Asset lifecycle management - AVEVA
Empower your teams with detailed asset lifecycle management tools for capital projects. What is asset lifecycle management? Asset lifecycle management (ALM) is our strategic solution for …
Meet AssetWise - Bentley
The process facilitates a risk-based approach to asset management. You can justify funding allocations, optimize data quality, and enable better decision-making through interoperability …
The Acin platform helped to calibrate my control data through …
Acin’s data standards and structure Dynamic Proactively manage risk exposure through emerging risks & controls, regulatory alerts and scenarios Complete Optimised risks and controls based …
IT Asset Management - ServiceNow
ServiceNow® Asset Management automates your IT asset lifecycle. It tracks the financial, contractual and inventory details of hardware and devices –as well as non-IT assets …
BROCHURE AVEVA Asset Information Management
AVEVA Asset Information Management can report on the quality, consistency, and completeness of data, improving compliance and enabling efficient handover operations.
Control System Asset Management - IDC-Online
Asset Management includes tools and practices to keep all assets performing at their best. In the past, asset management tended to focus on expected service life, then on diagnosing failures, …
Software Asset Management - ServiceNow
Ensures consistency in process execution, implementation of supporting tools and control of software asset data across the entire enterprise. Access to update software asset records is …
Managing IT Assets - Windley
Data Warehouse Figure 2: Asset Management System Data Relationships Benefits of Asset Management Asset management facilitates: Inventory Control. One of the chief benefits of …
BROCHURE AVEVA Asset Information Management
AVEVA Asset Information Management can report on the quality, consistency, and completeness of data, improving compliance and enabling efficient handover operations.
The Power of Data-Driven Asset Management I Accenture
Transforming data into an asset should be focused on having authoritative sources for key data domains in asset management, namely: account/product, security, price and index/benchmark.
Optimizing Digital Asset Data in Transport & Infrastructure
Asset data management is a process of resource allocation, optimization and utilization. Digital asset data management (DADM) takes a multidisciplinary approach to centralizing the …
Connected Everything: Asset lifecycle management - Deloitte …
We provide a wide-range of value throughout the entire asset lifecycle, advising clients on improvements to processes, controls, data, and systems across key functional capabilities. …
Asset Management Data Collection - FHWA West Virginia …
One of the key aspects of the development of Asset Management is data collection. The way in which transportation agencies collect, store, and analyze data has evolved along with …
Utilizing asset data for predictive asset management - Emerson
diagnostic data on the performance of key assets—and ultimately the performance of the entire facility. Asset management systems, like Emerson’s AMS Suite predictive maintenance …
Asset management guidelines - South Carolina
• Define asset management standards and data attributes • Establish a centralized, single source asset repository for the collection of IT assets • Establish access controls for the asset …
'Asset Management Operations and Controls,' Comptroller's …
Asset Management UOperations and Controls Overview. This booklet provides guidance applicable to core Asset Management operations functions and to internal controls and …
Plex Asset Performance Management (APM) Solution Overview
Connect plant floor performance data to maximize production and operational visibility. Analyze trends and compare operational data against other KPIs to discover new opportunities for …
A Manual Approach to Asset Management in Industrial …
In this article we shall be focussing specifically on a manual approach to asset visibility within Industrial Control System (ICS)/OT environments and how it can be a useful alongside other …
Asset Management - Oracle
Asset Control: Keep extensive asset data for full financial control. Automated Classification: Auto-set capitalization status based on cost. Asset Handling: Efficiently manage asset additions, …
Fundamentals of Asset Management - U.S. Environmental …
We have to know what we have before we can manage appropriately what residual life is left. Everything in AM starts with the Asset Registry. The “data standard” is the key building block …
Asset lifecycle management - AVEVA
Empower your teams with detailed asset lifecycle management tools for capital projects. What is asset lifecycle management? Asset lifecycle management (ALM) is our strategic solution for …
Meet AssetWise - Bentley
The process facilitates a risk-based approach to asset management. You can justify funding allocations, optimize data quality, and enable better decision-making through interoperability …
The Acin platform helped to calibrate my control data through …
Acin’s data standards and structure Dynamic Proactively manage risk exposure through emerging risks & controls, regulatory alerts and scenarios Complete Optimised risks and controls based …
IT Asset Management - ServiceNow
ServiceNow® Asset Management automates your IT asset lifecycle. It tracks the financial, contractual and inventory details of hardware and devices –as well as non-IT assets …
BROCHURE AVEVA Asset Information Management
AVEVA Asset Information Management can report on the quality, consistency, and completeness of data, improving compliance and enabling efficient handover operations.
Control System Asset Management - IDC-Online
Asset Management includes tools and practices to keep all assets performing at their best. In the past, asset management tended to focus on expected service life, then on diagnosing failures, …
Software Asset Management - ServiceNow
Ensures consistency in process execution, implementation of supporting tools and control of software asset data across the entire enterprise. Access to update software asset records is …
Managing IT Assets - Windley
Data Warehouse Figure 2: Asset Management System Data Relationships Benefits of Asset Management Asset management facilitates: Inventory Control. One of the chief benefits of …
BROCHURE AVEVA Asset Information Management
AVEVA Asset Information Management can report on the quality, consistency, and completeness of data, improving compliance and enabling efficient handover operations.
