| data management increases efficiency by: Enterprise Master Data Management Allen Dreibelbis, Eberhard Hechler, Ivan Milman, Martin Oberhofer, Paul van Run, Dan Wolfson, 2008-06-05 The Only Complete Technical Primer for MDM Planners, Architects, and Implementers Companies moving toward flexible SOA architectures often face difficult information management and integration challenges. The master data they rely on is often stored and managed in ways that are redundant, inconsistent, inaccessible, non-standardized, and poorly governed. Using Master Data Management (MDM), organizations can regain control of their master data, improve corresponding business processes, and maximize its value in SOA environments. Enterprise Master Data Management provides an authoritative, vendor-independent MDM technical reference for practitioners: architects, technical analysts, consultants, solution designers, and senior IT decisionmakers. Written by the IBM ® data management innovators who are pioneering MDM, this book systematically introduces MDM’s key concepts and technical themes, explains its business case, and illuminates how it interrelates with and enables SOA. Drawing on their experience with cutting-edge projects, the authors introduce MDM patterns, blueprints, solutions, and best practices published nowhere else—everything you need to establish a consistent, manageable set of master data, and use it for competitive advantage. Coverage includes How MDM and SOA complement each other Using the MDM Reference Architecture to position and design MDM solutions within an enterprise Assessing the value and risks to master data and applying the right security controls Using PIM-MDM and CDI-MDM Solution Blueprints to address industry-specific information management challenges Explaining MDM patterns as enablers to accelerate consistent MDM deployments Incorporating MDM solutions into existing IT landscapes via MDM Integration Blueprints Leveraging master data as an enterprise asset—bringing people, processes, and technology together with MDM and data governance Best practices in MDM deployment, including data warehouse and SAP integration |
| data management increases efficiency by: Data Governance and Data Management Rupa Mahanti, 2021-09-08 This book delves into the concept of data as a critical enterprise asset needed for informed decision making, compliance, regulatory reporting and insights into trends, behaviors, performance and patterns. With good data being key to staying ahead in a competitive market, enterprises capture and store exponential volumes of data. Considering the business impact of data, there needs to be adequate management around it to derive the best value. Data governance is one of the core data management related functions. However, it is often overlooked, misunderstood or confused with other terminologies and data management functions. Given the pervasiveness of data and the importance of data, this book provides comprehensive understanding of the business drivers for data governance and benefits of data governance, the interactions of data governance function with other data management functions and various components and aspects of data governance that can be facilitated by technology and tools, the distinction between data management tools and data governance tools, the readiness checks to perform before exploring the market to purchase a data governance tool, the different aspects that must be considered when comparing and selecting the appropriate data governance technologies and tools from large number of options available in the marketplace and the different market players that provide tools for supporting data governance. This book combines the data and data governance knowledge that the author has gained over years of working in different industrial and research programs and projects associated with data, processes and technologies with unique perspectives gained through interviews with thought leaders and data experts. This book is highly beneficial for IT students, academicians, information management and business professionals and researchers to enhance their knowledge and get guidance on implementing data governance in their own data initiatives. |
| data management increases efficiency by: SPEND MANAGEMENT: Increasing Value, Performance and Efficiency RAVI RANJAN MITTAL, 2009-12 This book describes fundamental explanation of how one constructs spend management cost assignment network that models an organization and becomes its repeatable reporting system.The expansion of costing beyond just products and base services into channels,distribution,and customers enables customer contribution profit margins to be calculated and made visible.Again it discusses applying spend management across an entire supply chain of trading partners to improve profits and remove excess costs.It also gives a preview of where spend management is headed. |
| data management increases efficiency by: 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. |
| data management increases efficiency by: The Architect's Handbook of Professional Practice American Institute of Architects, 2013-11-25 The definitive guide to architectural practice Business, legal, and technical trends in architecture are constantly changing. The Architect's Handbook of Professional Practice has offered firms the latest guidance on those trends since 1920. The Fifteenth Edition of this indispensable guide features nearly two-thirds new content and covers all aspects of contemporary practice, including updated material on: Small-firm practice, use of technologies such as BIM, and project delivery methods, such as IPD and architect-led design-build Career development and licensure for emerging professionals and state-mandated continuing education for established architects Business management topics, such as organizational development, marketing, finance, and human resources Research as an integrated aspect of architectural practice, featuring such topics as evidence-based design and research in a small-firm context The Fifteenth Edition of The Architect's Handbook of Professional Practice includes access to a website that contains samples of all AIA Contract Documents (in PDF format for Mac and PC computers). With comprehensive coverage of contemporary practices in architecture, as well as the latest developments and trends in the industry, The Architect's Handbook of Professional Practice continues to be the essential reference for every architect who must meet the challenges of today's marketplace with insight and confidence. |
| data management increases efficiency by: Master Data Management David Loshin, 2010-07-28 The key to a successful MDM initiative isn't technology or methods, it's people: the stakeholders in the organization and their complex ownership of the data that the initiative will affect.Master Data Management equips you with a deeply practical, business-focused way of thinking about MDM—an understanding that will greatly enhance your ability to communicate with stakeholders and win their support. Moreover, it will help you deserve their support: you'll master all the details involved in planning and executing an MDM project that leads to measurable improvements in business productivity and effectiveness. - Presents a comprehensive roadmap that you can adapt to any MDM project - Emphasizes the critical goal of maintaining and improving data quality - Provides guidelines for determining which data to master. - Examines special issues relating to master data metadata - Considers a range of MDM architectural styles - Covers the synchronization of master data across the application infrastructure |
| data management increases efficiency by: Database Management System An Advanced Practical Mr Vankamamidi Lakshmi Kartheek, 2022-01-01 This book aims to provide a broad DATABASE MANAGEMENT SYSTEMS AN ADVANCED PRACTICAL APPROACH for the importance of DATABASE MANAGEMENT SYSTEMS AN ADVANCED PRACTICAL APPROACH is well known in various engineering fields. |
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| data management increases efficiency by: Data Governance Handbook Wendy S. Batchelder, 2024-05-31 Build an actionable, business value driven case for data governance to obtain executive support and implement with excellence Key Features Develop a solid foundation in data governance and increase your confidence in data solutions Align data governance solutions with measurable business results and apply practical knowledge from real-world projects Learn from a three-time chief data officer who has worked in leading Fortune 500 companies Purchase of the print or Kindle book includes a free PDF eBook Book Description2.5 quintillion bytes! This is the amount of data being generated every single day across the globe. As this number continues to grow, understanding and managing data becomes more complex. Data professionals know that it’s their responsibility to navigate this complexity and ensure effective governance, empowering businesses with the right data, at the right time, and with the right controls. If you are a data professional, this book will equip you with valuable guidance to conquer data governance complexities with ease. Written by a three-time chief data officer in global Fortune 500 companies, the Data Governance Handbook is an exhaustive guide to understanding data governance, its key components, and how to successfully position solutions in a way that translates into tangible business outcomes. By the end, you’ll be able to successfully pitch and gain support for your data governance program, demonstrating tangible outcomes that resonate with key stakeholders. What you will learn Comprehend data governance from ideation to delivery and beyond Position data governance to obtain executive buy-in Launch a governance program at scale with a measurable impact Understand real-world use cases to drive swift and effective action Obtain support for data governance-led digital transformation Launch your data governance program with confidence Who this book is for Chief data officers, data governance leaders, data stewards, and engineers who want to understand the business value of their work, and IT professionals seeking further understanding of data management, will find this book useful. You need a basic understanding of working with data, business needs, and how to meet those needs with data solutions. Prior coding experience or skills in selling data solutions to executives are not required. |
| data management increases efficiency by: Overarching Strategy on Data and Statistics at the Fund in the Digital Age International Monetary Fund. Strategy, Policy, & Review Department, 2018-03-20 The first data and statistics strategy for the Fund comes at a critical time. A fast-changing data landscape, new data needs for evolving surveillance priorities, and persisting data weaknesses across the membership pose challenges and opportunities for the Fund and its members. The challenges emerging from the digital revolution include an unprecedented amount of new data and measurement questions on growth, productivity, inflation, and welfare. Newly available granular and high-frequency (big) data offer the potential for more timely detection of vulnerabilities. In the wake of the crisis, Fund surveillance requires greater cross-country data comparability; staff and authorities face the complexity of integrating new data sources and closing data gaps, while working to address the weaknesses noted by the IEO Report (Behind the Scenes with Data at the IMF) in 2016. The overarching strategy is to move toward an ecosystem of data and statistics that enables the Fund and its members to better meet the evolving data needs in a digital world. It integrates Fund-wide work streams on data provision to the Fund for surveillance purposes, international statistical standards, capacity development, and data management under a common institutional objective. It seeks seamless access and sharing of data within the Fund, enabling cloud-based data dissemination to support data provision by member countries (e.g., the “global data commons”), closing data gaps with new sources including Big Data, and improving assessments of data adequacy for surveillance to help better prioritize capacity development. The Fund also will work with policymakers to understand the implications of the digital economy and digital data for the macroeconomic statistics, including new measures of welfare beyond GDP. |
| data management increases efficiency by: In-Memory Data Management Hasso Plattner, Alexander Zeier, 2011-03-08 In the last 50 years the world has been completely transformed through the use of IT. We have now reached a new inflection point. Here we present, for the first time, how in-memory computing is changing the way businesses are run. Today, enterprise data is split into separate databases for performance reasons. Analytical data resides in warehouses, synchronized periodically with transactional systems. This separation makes flexible, real-time reporting on current data impossible. Multi-core CPUs, large main memories, cloud computing and powerful mobile devices are serving as the foundation for the transition of enterprises away from this restrictive model. We describe techniques that allow analytical and transactional processing at the speed of thought and enable new ways of doing business. The book is intended for university students, IT-professionals and IT-managers, but also for senior management who wish to create new business processes by leveraging in-memory computing. |
| data management increases efficiency by: Agriculture, Rural Development, Food and Drug Administration, and Related Agencies Appropriations for 2004 United States. Congress. House. Committee on Appropriations. Subcommittee on Agriculture, Rural Development, Food and Drug Administration, and Related Agencies, 2003 |
| data management increases efficiency by: Effective Document and Data Management Bob Wiggins, 2016-04-29 Effective Document and Data Management illustrates the operational and strategic significance of how documents and data are captured, managed and utilized. Without a coherent and consistent approach the efficiency and effectiveness of the organization may be undermined by less poor management and use of its information. The third edition of the book is restructured to take this broader view and to establish an organizational context in which information is management. Along the way Bob Wiggins clarifies the distinction between information management, data management and knowledge management; helps make sense of the concept of an information life cycle to present and describe the processes and techniques of information and data management, storage and retrieval; uses worked examples to illustrate the coordinated application of data and process analysis; and provides guidance on the application of appropriate project management techniques for document and records management projects. The book will benefit a range of organizations and people, from those senior managers who need to develop coherent and consistent business and IT strategies; to information professionals, such as records managers and librarians who will gain an appreciation of the impact of the technology and of how their particular areas of expertise can best be applied; to system designers, developers and implementers and finally to users. The author can be contacted at curabyte@gmail.com for further information. |
| data management increases efficiency by: Effective Document and Data Management Bob Wiggins, 2016-04-29 Effective Document and Data Management illustrates the operational and strategic significance of how documents and data are captured, managed and utilized. Without a coherent and consistent approach the efficiency and effectiveness of the organization may be undermined by less poor management and use of its information. The third edition of the book is restructured to take this broader view and to establish an organizational context in which information is management. Along the way Bob Wiggins clarifies the distinction between information management, data management and knowledge management; helps make sense of the concept of an information life cycle to present and describe the processes and techniques of information and data management, storage and retrieval; uses worked examples to illustrate the coordinated application of data and process analysis; and provides guidance on the application of appropriate project management techniques for document and records management projects. The book will benefit a range of organizations and people, from those senior managers who need to develop coherent and consistent business and IT strategies; to information professionals, such as records managers and librarians who will gain an appreciation of the impact of the technology and of how their particular areas of expertise can best be applied; to system designers, developers and implementers and finally to users. The author can be contacted at curabyte@gmail.com for further information. |
| data management increases efficiency by: Using Data Management Techniques to Modernize Healthcare MA, MHA, Anthony Matthew Hopper, 2015-08-20 Healthcare organizations with sound human resources (HR) infrastructures are better able to hire, develop, promote, and retain employees who match up well with their specific needs. Using Data Management Techniques to Modernize Healthcare explains how to modernize your HR systems through the use of artificial intelligence (AI), information technolo |
| data management increases efficiency by: Database Management using AI: A Comprehensive Guide A Purushotham Reddy, 2024-10-20 Database Management Using AI: A Comprehensive Guide is a professional yet accessible exploration of how artificial intelligence (AI) is reshaping the world of database management. Designed for database administrators, data scientists, and tech enthusiasts, this book walks readers through the transformative impact of AI on modern data systems. The guide begins with the fundamentals of database management, covering key concepts such as data models, SQL, and the principles of database design. From there, it delves into the powerful role AI plays in optimizing database performance, enhancing security, and automating complex tasks like data retrieval, query optimization, and schema design. The book doesn't stop at theory. It brings AI to life with practical case studies showing how AI-driven database systems are being used in industries such as e-commerce, healthcare, finance, and logistics. These real-world examples demonstrate AI's role in improving efficiency, reducing errors, and driving intelligent decision-making. Key topics covered include: Introduction to Database Systems: Fundamentals of database management, from relational databases to modern NoSQL systems. AI Integration: How AI enhances database performance, automates routine tasks, and strengthens security. Real-World Applications: Case studies from diverse sectors like healthcare, finance, and retail, showcasing the practical impact of AI in database management. Predictive Analytics and Data Mining: How AI tools leverage data to make accurate predictions and uncover trends. Future Trends: Explore cutting-edge innovations like autonomous databases and cloud-based AI solutions that are shaping the future of data management. With its clear explanations and actionable insights, Database Management Using AI equips readers with the knowledge to navigate the fast-evolving landscape of AI-powered databases, making it a must-have resource for those looking to stay ahead in the digital age. |
| data management increases efficiency by: Federal E-government Initiatives United States. Congress. House. Committee on Government Reform. Subcommittee on Technology, Information Policy, Intergovernmental Relations, and the Census, 2003 |
| data management increases efficiency by: The Data Management Cookbook Irina Steenbeek, 2018-03-16 A lot of companies realize that data is an invaluable asset and has to be managed accordingly. They would also like to get value from data. Everyone wants to be 'data-driven' these days. What lies beneath this idea, is the wish to make the decision-making process easier and more effective. It means delivering the required data of acceptable quality to the relevant decision makers when and where they need it. In short: a lot of companies have the necessity to manage their data properly. The main question is: how do you put this in practice? Knowing the potential of your data, and managing it correctly is the key to an effective and successful business. As a result of well-implemented data management, you will be able to reduce risks and costs, increase efficiency, ensure business continuity and successful growth. In this book, we invite you for a five-course dinner. During each course we will explain the steps of our 5-step programme which guarantees successful implementation of data management. |
| data management increases efficiency by: Biologically-Inspired Energy Harvesting through Wireless Sensor Technologies Ponnusamy, Vasaki, 2016-04-05 The need for sustainable sources of energy has become more prevalent in an effort to conserve natural resources, as well as optimize the performance of wireless networks in daily life. Renewable sources of energy also help to cut costs while still providing a reliable power sources. Biologically-Inspired Energy Harvesting through Wireless Sensor Technologies highlights emerging research in the areas of sustainable energy management and transmission technologies. Featuring technological advancements in green technology, energy harvesting, sustainability, networking, and autonomic computing, as well as bio-inspired algorithms and solutions utilized in energy management, this publication is an essential reference source for researchers, academicians, and students interested in renewable or sustained energy in wireless networks. |
| data management increases efficiency by: Fundamentals of IoT Rajan Gupta, Supriya Madan, 2023-07-31 A comprehensive guide to IoT's core concepts and principles KEY FEATURES ● Discover the fascinating world of Arduino and unlock its potential for IoT applications. ● Learn about wireless communication protocols, data aggregation, and the overall architecture of IoT networks. ● Explore the wide range of applications that IoT offers across various industries and domains. DESCRIPTION The Internet of Things (IoT) is a network of physical objects embedded with sensors, software, and connectivity, enabling them to collect and exchange data. It revolutionizes the way we interact with our surroundings by connecting devices and allowing them to communicate over the Internet. If you want to dive deeper into the fascinating world of IoT, then this book is for you. This book is a comprehensive book that introduces you to the world of IoT. It covers the definition and vision of IoT, provides an overview of the conceptual framework and technologies behind it, and presents various examples of IoT applications. The book also delves into the hardware components used in IoT, such as sensors and actuators, and explores embedded platforms like Arduino and Raspberry Pi. Furthermore, it discusses programming with Arduino and highlights design principles and network communication aspects of IoT. The book concludes by addressing the challenges and real-life applications of IoT, including smart cities, healthcare, and home automation. By the end of the book, you will possess the knowledge necessary to navigate the complex and ever-evolving IoT landscape. WHAT YOU WILL LEARN ● Gain insights into embedded platforms and their role in IoT. ● Select the right hardware devices to create efficient and effective IoT systems. ● Explore the intricacies of the Arduino board architecture. ● Learn the essentials of programming Arduino. ● Understand the challenges faced in designing and implementing IoT solutions. WHO THIS BOOK IS FOR This book caters to the learning needs of graduate and postgraduate students in Computer Application/Engineering. It is also suitable for anyone interested in gaining a comprehensive understanding of the fundamentals of the Internet of Things. TABLE OF CONTENTS 1. Introduction to Internet of Things 2. Hardware for IoT 3. Embedded Platforms for IoT 4. Programming the Arduino 5. IoT and M2M Design Standards 6. Network and Communication Aspects of IoT 7. IoT Design Challenges 8. Applications of IoT 9. Appendix: Hands-On Practical Problems |
| data management increases efficiency by: Security in Computing and Communications Peter Mueller, Sabu M. Thampi, Md Zakirul Alam Bhuiyan, Ryan Ko, Robin Doss, Jose M. Alcaraz Calero, 2016-09-16 This book constitutes the refereed proceedings of the 4th International Symposium on Security in Computing and Communications, SSCC 2016, held in Jaipur, India, in September 2016. The 23 revised full papers presented together with 16 short papers and an invited paper were carefully reviewed and selected from 136 submissions. The papers are organized in topical sections on cryptosystems, algorithms, primitives; security and privacy in networked systems; system and network security; steganography, visual cryptography, image forensics; applications security. |
| data management increases efficiency by: Research Anthology on Human Resource Practices for the Modern Workforce Management Association, Information Resources, 2021-12-30 Human resource departments have been a crucial part of business practices for decades and particularly in modern times as professionals deal with multigenerational workers, diversity initiatives, and global health and economic crises. There is a necessity for human resource departments to change as well to adapt to new societal perspectives, technology, and business practices. It is important for human resource managers to keep up to date with all emerging human resource practices in order to support successful and productive organizations. The Research Anthology on Human Resource Practices for the Modern Workforce presents a dynamic and diverse collection of global practices for human resource departments. This anthology discusses the emerging practices as well as modern technologies and initiatives that affect the way human resources must be conducted. Covering topics such as machine learning, organizational culture, and social entrepreneurship, this book is an excellent resource for human resource employees, managers, CEOs, employees, business students and professors, researchers, and academicians. |
| data management increases efficiency by: How to Start a Vitamin Store Business AS, 2024-08-01 How to Start a XXXX Business About the Book Unlock the essential steps to launching and managing a successful business with How to Start a XXXX Business. Part of the acclaimed How to Start a Business series, this volume provides tailored insights and expert advice specific to the XXX industry, helping you navigate the unique challenges and seize the opportunities within this field. What You'll Learn Industry Insights: Understand the market, including key trends, consumer demands, and competitive dynamics. Learn how to conduct market research, analyze data, and identify emerging opportunities for growth that can set your business apart from the competition. Startup Essentials: Develop a comprehensive business plan that outlines your vision, mission, and strategic goals. Learn how to secure the necessary financing through loans, investors, or crowdfunding, and discover best practices for effectively setting up your operation, including choosing the right location, procuring equipment, and hiring a skilled team. Operational Strategies: Master the day-to-day management of your business by implementing efficient processes and systems. Learn techniques for inventory management, staff training, and customer service excellence. Discover effective marketing strategies to attract and retain customers, including digital marketing, social media engagement, and local advertising. Gain insights into financial management, including budgeting, cost control, and pricing strategies to optimize profitability and ensure long-term sustainability. Legal and Compliance: Navigate regulatory requirements and ensure compliance with industry laws through the ideas presented. Why Choose How to Start a XXXX Business? Whether you're wondering how to start a business in the industry or looking to enhance your current operations, How to Start a XXX Business is your ultimate resource. This book equips you with the knowledge and tools to overcome challenges and achieve long-term success, making it an invaluable part of the How to Start a Business collection. Who Should Read This Book? Aspiring Entrepreneurs: Individuals looking to start their own business. This book offers step-by-step guidance from idea conception to the grand opening, providing the confidence and know-how to get started. Current Business Owners: Entrepreneurs seeking to refine their strategies and expand their presence in the sector. Gain new insights and innovative approaches to enhance your current operations and drive growth. Industry Professionals: Professionals wanting to deepen their understanding of trends and best practices in the business field. Stay ahead in your career by mastering the latest industry developments and operational techniques. Side Income Seekers: Individuals looking for the knowledge to make extra income through a business venture. Learn how to efficiently manage a part-time business that complements your primary source of income and leverages your skills and interests. Start Your Journey Today! Empower yourself with the insights and strategies needed to build and sustain a thriving business. Whether driven by passion or opportunity, How to Start a XXXX Business offers the roadmap to turning your entrepreneurial dreams into reality. Download your copy now and take the first step towards becoming a successful entrepreneur! Discover more titles in the How to Start a Business series: Explore our other volumes, each focusing on different fields, to gain comprehensive knowledge and succeed in your chosen industry. |
| data management increases efficiency by: Excel Mastery Sarker Ryans, 2024-08-09 Excel Mastery Discover the comprehensive guide designed to transform your understanding of spreadsheets. Whether you're a beginner or an intermediate user, Excel Excellence is your passport to becoming a pro in organizing data, creating formulas, and unlocking the full potential of Microsoft Excel. Key Features: 1. Step-by-step instructions for beginners and intermediate users 2. Master data organization and management 3. Create complex formulas and functions with ease 4. Learn effective data visualization techniques 5. Optimize workflow and efficiency with Excel's advanced features Enhance your Excel skills and explore the vast possibilities with Excel Excellence. Grab your copy and elevate your spreadsheet expertise! What's Inside: 📊 From Basics to Brilliance: Explore Excel from the ground up. Learn the fundamentals - from navigating the interface to mastering basic formulas. 📈 Advanced Techniques: Elevate your skills with advanced functions, pivot tables, data analysis, and visualization tools. 💼 Real-world Applications: Discover practical case studies and examples that show how Excel is used across various industries – finance, healthcare, marketing, and more. 🔧 Efficiency Hacks: Uncover time-saving tips, tricks, and shortcuts to streamline your workflow and boost productivity. 🌐 Excel in the Digital Age: Learn how to leverage Excel in a world driven by data, exploring integration with other software and harnessing the power of cloud-based solutions. Why This Book Stands Out: 🌟 Engaging and Visual Approach: Engrossing visuals, step-by-step guides, and interactive exercises make learning Excel both enjoyable and effective. 🧠 Practical and Applicable: Gain insights that are immediately useful in your work or personal projects. 💡 Empowerment: Empower yourself with a skill that's highly sought after in the professional world. |
| data management increases efficiency by: The Rise of Over-the-Top (OTT) Media and Implications for Media Consumption and Production Kalorth, Nithin, 2024-01-24 The rapid increase in popularity of major streaming services is having a massive impact on more traditional media outlets. Over-the-Top (OTT) Media is the term given to these types of services, which bypass the traditional media sources through an internet connection. How will OTT media force traditional forms of media to adjust and adapt in order to remain relevant? The Rise of Over-the-Top (OTT) Media and Implications for Media Consumption and Production is a timely edited volume that delves into the transformative emergence of Over-the-Top (OTT) media, which is reshaping the landscape of media consumption and production. The book traces the historical roots of OTT media, establishing a contextual understanding of its rapid rise and impact on the industry. Analyzing the complex web of business models and revenue streams in the OTT industry, the publication sheds light on the competitive dynamics, the entry of new players, and the subsequent effects on traditional media companies. It offers a fresh perspective, recognizing OTT media as a distinct and transformative medium, different from conventional film and television studies. Navigating the myriad aspects of OTT media, the book examines market trends and dynamics, showcasing the intricate technological infrastructure of OTT services, encompassing platforms, devices, and delivery methods. Engaging with contemporary issues, the book investigates the intersections of OTT media with news, entertainment, advertising, marketing, and the global south, fostering a holistic understanding of its far-reaching impact. As an essential reference for scholars, researchers, and media professionals, this book not only helps unravel the complexities of this rapidly evolving medium but also equips its readers with valuable insights to navigate the dynamic digital media landscape. |
| data management increases efficiency by: Departments of Transportation, and Housing and Urban Development, and Related Agencies Appropriations for 2009 United States. Congress. House. Committee on Appropriations. Subcommittee on Transportation, Housing and Urban Development, and Related Agencies, 2008 |
| data management increases efficiency by: Advances in Database Technologies Yahiko Kambayashi, Dik Lun Lee, Ee-Peng Lim, Mukesh Kumar Mohania, Yoshifumi Masunaga, 2004-01-30 This book presents the thoroughly refereed joint post-proceedings of three workshops held during the 17th International Conference on Conceptual Modeling, ER '98, in Singapore in November 1998. The 50 revised papers presented have gone through two rounds of reviewing and revision. The book is divided in sections on knowledge discovery, data mining, data and web warehousing, multidimensional databases, data warehouse design, caching, data dissemination, replication, mobile networks, mobile platforms, tracking and monitoring, collaborative work support, temporal data modelling, moving objects and spatial indexing, spatio-temporal databases, and video database contents. |
| data management increases efficiency by: Economics and Policy of Energy and Environmental Sustainability Narendra N. Dalei, Anshuman Gupta, 2022-11-23 This book explores the linkages among economic development, energy, and environment. An increase in economic activity is correlated with a higher level of energy consumption, which in turn leads to an increase in environmental pollution. Due to the influence of greenhouse gases, the higher the concentration of pollutants in the atmosphere, the higher the temperature, which ultimately leads to climate change. Under these imminent dangers, the role of economic and energy efficiency policies becomes important for ecological sustainability. The present policies, however, in various instances, have failed to address these issues. Hence, this book embarks not only to suggest modifications to improve the efficacy of the current policies but also to recommend to the policymakers, new and more effective policies for their respective countries. The book is bifurcated into two sections: The Economics and Policy of Sustainable Energy section discusses renewable energy policy responses to observed Impact of climate change using DPSIR Framework; the energy utilization strategies for transportation and commercial activities of Charland Bangladesh; the relationship of market globalization with the Indian energy sector; the socioecological effects of globalization from an energy perspective brought to a local standpoint; the seasonal disaster-induced energy consumption strategies of the char-dwellers of Bangladesh with respect to their domestic chores and agricultural activities; trends in GDP growth and energy usage in India; cross-border trade of electricity; and the events that the oil and gas industry has already faced and possible strategies it can adopt to overcome the recession caused by the COVID-19 pandemic. The Economics and Policy of Environmental Sustainability section analyses topics such as the role of hyper-globalization in spreading the pandemic across countries as threat to human ecology; the current scenario of environmental consequences, and future prospects of plastic pollution; the surface air temperature anomalies over selected countries of Africa; the impaired roles of the female gender in community natural resource exploitation in Ndop; the operational expansion strategies for garnering better output in terms of livelihood and conservation; opportunity for environmental justice and rethinking global community; linking indigenous traditional knowledge and sustainable development goals in the North-Western Himalayas; and recommendations to manage dry forest carbon stock. This book is a rich resource for policymakers, guiding them through untraveled pathways. Moreover, it is an extremely helpful resource for researchers, practitioners, industry professionals as well as students in the fields of energy, environment, and sustainable development with flavour of economics and policy. |
| data management increases efficiency by: Department of the Interior and related agencies appropriations for 2004 United States. Congress. House. Committee on Appropriations. Subcommittee on Department of the Interior and Related Agencies, 2003 |
| data management increases efficiency by: The Routledge Handbook of Maritime Management Photis M. Panayides, 2019-04-30 This handbook provides a wide-ranging, coherent, and systematic analysis of maritime management, policy, and strategy development. It undertakes a comprehensive examination of the fields of management and policy-making in shipping by bringing together chapters on key topics of seminal scientific and practical importance. Within 21 original chapters, authoritative experts describe and analyze concepts at the cutting edge of knowledge in shipping. Themes include maritime management and policy, ship finance, port and maritime economics, and maritime logistics. A study examines the determinants of ship management fees. Aspects of corporate governance in the shipping industry are reviewed and there is a critical review of the ship investment literature. Other topics featured include the organization and management of tanker and dry bulk shipping companies, environmental management in shipping with reference to energy-efficient ship operation, a study of the BIMCO Shipping KPI standard, utilizing the Bunker Adjustment Factor as a strategic decision-making instrument, and slow steaming in the maritime industry. All chapters are written to provide implications for further advancement in professional practice and research. The Routledge Handbook of Maritime Management will be of great interest to relevant students, researchers, academics, and professionals alike. It provides abundant opportunities to guide further research in the areas covered but will also initiate and inspire effective maritime management. |
| data management increases efficiency by: Artificial Intelligence Technologies for Computational Biology Ranjeet Kumar Rout, Saiyed Umer, Sabha Sheikh, Amrit Lal Sangal, 2022-11-10 This text emphasizes the importance of artificial intelligence techniques in the field of biological computation. It also discusses fundamental principles that can be applied beyond bio-inspired computing. It comprehensively covers important topics including data integration, data mining, machine learning, genetic algorithms, evolutionary computation, evolved neural networks, nature-inspired algorithms, and protein structure alignment. The text covers the application of evolutionary computations for fractal visualization of sequence data, artificial intelligence, and automatic image interpretation in modern biological systems. The text is primarily written for graduate students and academic researchers in areas of electrical engineering, electronics engineering, computer engineering, and computational biology. This book: • Covers algorithms in the fields of artificial intelligence, and machine learning useful in biological data analysis. • Discusses comprehensively artificial intelligence and automatic image interpretation in modern biological systems. • Presents the application of evolutionary computations for fractal visualization of sequence data. • Explores the use of genetic algorithms for pair-wise and multiple sequence alignments. • Examines the roles of efficient computational techniques in biology. |
| data management increases efficiency by: Systems Engineering for the Digital Age Dinesh Verma, 2023-09-26 Systems Engineering for the Digital Age Comprehensive resource presenting methods, processes, and tools relating to the digital and model-based transformation from both technical and management views Systems Engineering for the Digital Age: Practitioner Perspectives covers methods and tools that are made possible by the latest developments in computational modeling, descriptive modeling languages, semantic web technologies, and describes how they can be integrated into existing systems engineering practice, how best to manage their use, and how to help train and educate systems engineers of today and the future. This book explains how digital models can be leveraged for enhancing engineering trades, systems risk and maturity, and the design of safe, secure, and resilient systems, providing an update on the methods, processes, and tools to synthesize, analyze, and make decisions in management, mission engineering, and system of systems. Composed of nine chapters, the book covers digital and model-based methods, digital engineering, agile systems engineering, improving system risk, and more, representing the latest insights from research in topics related to systems engineering for complicated and complex systems and system-of-systems. Based on validated research conducted via the Systems Engineering Research Center (SERC), this book provides the reader a set of pragmatic concepts, methods, models, methodologies, and tools to aid the development of digital engineering capability within their organization. Systems Engineering for the Digital Age: Practitioner Perspectives includes information on: Fundamentals of digital engineering, graphical concept of operations, and mission and systems engineering methods Transforming systems engineering through integrating M&S and digital thread, and interactive model centric systems engineering The OODA loop of value creation, digital engineering measures, and model and data verification and validation Digital engineering testbed, transformation, and implications on decision making processes, and architecting tradespace analysis in a digital engineering environment Expedited systems engineering for rapid capability and learning, and agile systems engineering framework Based on results and insights from a research center and providing highly comprehensive coverage of the subject, Systems Engineering for the Digital Age: Practitioner Perspectives is written specifically for practicing engineers, program managers, and enterprise leadership, along with graduate students in related programs of study. |
| data management increases efficiency by: Cybersecurity for Smart Cities Mohiuddin Ahmed, Paul Haskell-Dowland, 2023-03-29 Ensuring cybersecurity for smart cities is crucial for a sustainable cyber ecosystem. Given the undeniable complexity of smart cities, fundamental issues such as device configurations and software updates should be addressed when it is most needed to fight cyber-crime and ensure data privacy. This book addresses the cybersecurity challenges associated with smart cities, aiming to provide a bigger picture of the concepts, intelligent techniques, practices and research directions in this area. Furthermore, this book serves as a single source of reference for acquiring knowledge on the technology, processes and people involved in the next-generation of cyber-smart cities. |
| data management increases efficiency by: Principles and Practice of Clinical Trials Steven Piantadosi, Curtis L. Meinert, 2022-07-19 This is a comprehensive major reference work for our SpringerReference program covering clinical trials. Although the core of the Work will focus on the design, analysis, and interpretation of scientific data from clinical trials, a broad spectrum of clinical trial application areas will be covered in detail. This is an important time to develop such a Work, as drug safety and efficacy emphasizes the Clinical Trials process. Because of an immense and growing international disease burden, pharmaceutical and biotechnology companies continue to develop new drugs. Clinical trials have also become extremely globalized in the past 15 years, with over 225,000 international trials ongoing at this point in time. Principles in Practice of Clinical Trials is truly an interdisciplinary that will be divided into the following areas: 1) Clinical Trials Basic Perspectives 2) Regulation and Oversight 3) Basic Trial Designs 4) Advanced Trial Designs 5) Analysis 6) Trial Publication 7) Topics Related Specific Populations and Legal Aspects of Clinical Trials The Work is designed to be comprised of 175 chapters and approximately 2500 pages. The Work will be oriented like many of our SpringerReference Handbooks, presenting detailed and comprehensive expository chapters on broad subjects. The Editors are major figures in the field of clinical trials, and both have written textbooks on the topic. There will also be a slate of 7-8 renowned associate editors that will edit individual sections of the Reference. |
| data management increases efficiency by: Digital Entrepreneurship and Co-Creating Value Through Digital Encounters Edghiem, Farag, Ali, Mohammed, Wood, Robert, 2023-05-15 Digital technologies have enabled certain opportunities for industries, societies, and companies to change for the better. The service sector has essentially evolved through significant developments in recent decades, such as the increasing adoption of artificial intelligence (AI) applications and automated technologies, including service robots, chatbots, and virtual assistants. Both digital transformation and digital entrepreneurship are multifaceted areas that relate to varied emerging technologies that have recently dominated the current service industry. These technologies serve to enhance various sociotechnical areas, including communication and collaboration, as well as co-creating business value and promoting service automation. Digital Entrepreneurship and Co-Creating Value Through Digital Encounters contributes to the services’ digital transformation and digital entrepreneurship domain by uncovering contemporary innovations used in the modern service industry. It supports modern applications of Industry 4.0, digital transformation, and entrepreneurship to facilitate value co-creation for contemporary businesses. Covering topics such as big data management, industrial relations, and tourist destination selection, this premier reference source is an ideal resource for entrepreneurs, business owners and managers, government officials, policymakers, students and educators of higher education, librarians, researchers, and academicians. |
| data management increases efficiency by: Relieving Highway Congestion Through Capacity Enhancements and Increased Efficiency United States. Congress. House. Committee on Transportation and Infrastructure. Subcommittee on Highways and Transit, 2002 |
| data management increases efficiency by: Computerworld , 1990-07-02 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. |
| data management increases efficiency by: Department of the Interior and Related Agencies Appropriations for 1981 United States. Congress. House. Committee on Appropriations. Subcommittee on Department of the Interior and Related Agencies, 1980 |
| data management increases efficiency by: Computerworld , 1990-02-05 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. |
| data management increases efficiency by: Computerworld , 1990-03-05 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. |
Data and Digital Outputs Management Plan (DDOMP)
Data and Digital Outputs Management Plan (DDOMP)
Building New Tools for Data Sharing and Reuse through a …
Jan 10, 2019 · The SEI CRA will closely link research thinking and technological innovation toward accelerating the full path of discovery-driven data use and open science. This will …
Open Data Policy and Principles - Belmont Forum
The data policy includes the following principles: Data should be: Discoverable through catalogues and search engines; Accessible as open data by default, and made available with …
Belmont Forum Adopts Open Data Principles for Environmental …
Jan 27, 2016 · Adoption of the open data policy and principles is one of five recommendations in A Place to Stand: e-Infrastructures and Data Management for Global Change Research, …
Belmont Forum Data Accessibility Statement and Policy
The DAS encourages researchers to plan for the longevity, reusability, and stability of the data attached to their research publications and results. Access to data promotes reproducibility, …
Climate-Induced Migration in Africa and Beyond: Big Data and …
CLIMB will also leverage earth observation and social media data, and combine them with survey and official statistical data. This holistic approach will allow us to analyze migration process …
Advancing Resilience in Low Income Housing Using Climate …
Jun 4, 2020 · Environmental sustainability and public health considerations will be included. Machine Learning and Big Data Analytics will be used to identify optimal disaster resilient …
Belmont Forum
What is the Belmont Forum? The Belmont Forum is an international partnership that mobilizes funding of environmental change research and accelerates its delivery to remove critical …
Waterproofing Data: Engaging Stakeholders in Sustainable Flood …
Apr 26, 2018 · Waterproofing Data investigates the governance of water-related risks, with a focus on social and cultural aspects of data practices. Typically, data flows up from local levels …
Data Management Annex (Version 1.4) - Belmont Forum
A full Data Management Plan (DMP) for an awarded Belmont Forum CRA project is a living, actively updated document that describes the data management life cycle for the data to be …
Data and Digital Outputs Management Plan (DDOMP)
Data and Digital Outputs Management Plan (DDOMP)
Building New Tools for Data Sharing and Reuse through a …
Jan 10, 2019 · The SEI CRA will closely link research thinking and technological innovation toward accelerating the full path of discovery-driven data use and open science. This will …
Open Data Policy and Principles - Belmont Forum
The data policy includes the following principles: Data should be: Discoverable through catalogues and search engines; Accessible as open data by default, and made available with …
Belmont Forum Adopts Open Data Principles for Environmental …
Jan 27, 2016 · Adoption of the open data policy and principles is one of five recommendations in A Place to Stand: e-Infrastructures and Data Management for Global Change Research, …
Belmont Forum Data Accessibility Statement and Policy
The DAS encourages researchers to plan for the longevity, reusability, and stability of the data attached to their research publications and results. Access to data promotes reproducibility, …
Climate-Induced Migration in Africa and Beyond: Big Data and …
CLIMB will also leverage earth observation and social media data, and combine them with survey and official statistical data. This holistic approach will allow us to analyze migration process …
Advancing Resilience in Low Income Housing Using Climate …
Jun 4, 2020 · Environmental sustainability and public health considerations will be included. Machine Learning and Big Data Analytics will be used to identify optimal disaster resilient …
Belmont Forum
What is the Belmont Forum? The Belmont Forum is an international partnership that mobilizes funding of environmental change research and accelerates its delivery to remove critical …
Waterproofing Data: Engaging Stakeholders in Sustainable Flood …
Apr 26, 2018 · Waterproofing Data investigates the governance of water-related risks, with a focus on social and cultural aspects of data practices. Typically, data flows up from local levels …
Data Management Annex (Version 1.4) - Belmont Forum
A full Data Management Plan (DMP) for an awarded Belmont Forum CRA project is a living, actively updated document that describes the data management life cycle for the data to be …
