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| data as a service business model: Data-Driven Business Models for the Digital Economy Rado Kotorov, 2020-04-21 Today the fastest growing companies have no physical assets. Instead, they create innovative digital products and new data-driven business models. They capture huge market share fast and their capitalizations skyrocket. The success of these digital giants is pushing all companies to rethink their business models and to start digitizing their products and services. Whether you are a new start-up building a digital product or service, or an employee of an established company that is transitioning to digital, you need to consider how digitization has transformed every aspect of management. Data-driven business models scale not through asset accumulation and product standardization, but through disaggregation of supply and demand. The winners in the new economy master the demand for one and the supply to millions. Throughout the book the author illustrates with examples and use cases how the market competition has changed and how companies adept to the new rules of the game. The economic levers of scale and scope are also different in the digital economy and companies have to learn new tactics how to achieve and sustain their competitive advantage. While data is at the core of all digital business models, the monetization strategies vary across products, services and business models. Our Monetization Matrix is a model that helps managers, marketers, sales professionals, and technical product designers to align the digital product design with the data-driven business model. |
| data as a service business model: The Elements of Big Data Value Edward Curry, Andreas Metzger, Sonja Zillner, Jean-Christophe Pazzaglia, Ana García Robles, 2021-08-01 This open access book presents the foundations of the Big Data research and innovation ecosystem and the associated enablers that facilitate delivering value from data for business and society. It provides insights into the key elements for research and innovation, technical architectures, business models, skills, and best practices to support the creation of data-driven solutions and organizations. The book is a compilation of selected high-quality chapters covering best practices, technologies, experiences, and practical recommendations on research and innovation for big data. The contributions are grouped into four parts: · Part I: Ecosystem Elements of Big Data Value focuses on establishing the big data value ecosystem using a holistic approach to make it attractive and valuable to all stakeholders. · Part II: Research and Innovation Elements of Big Data Value details the key technical and capability challenges to be addressed for delivering big data value. · Part III: Business, Policy, and Societal Elements of Big Data Value investigates the need to make more efficient use of big data and understanding that data is an asset that has significant potential for the economy and society. · Part IV: Emerging Elements of Big Data Value explores the critical elements to maximizing the future potential of big data value. Overall, readers are provided with insights which can support them in creating data-driven solutions, organizations, and productive data ecosystems. The material represents the results of a collective effort undertaken by the European data community as part of the Big Data Value Public-Private Partnership (PPP) between the European Commission and the Big Data Value Association (BDVA) to boost data-driven digital transformation. |
| data as a service business model: Data as a Service Pushpak Sarkar, 2015-08-24 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 |
| data as a service business model: Business Model Innovation Nicolai J. Foss, Tina Saebi, 2015 Business model innovation is an important source of competitive advantage and corporate renewal. An increasing number of companies have to innovate their business models, not just because of competitive forces but also because of the ongoing change from product-based to service-based business models. Yet, business model innovation also involves organizational change process that challenges existing processes, structures and modes of control. This volume features thirteen chapters written by authorities on business model innovation. The specific angle, and the novel feature of this book, is to thoroughly examine the organizational dimension of business model innovation. Drawing on organizational theory and empirical observation, the contributors specifically highlight organizational design aspects of business model innovation, focusing on how reward systems, power distributions, routines and standard operating procedures, the allocation of authority, and other aspects of organizational structure and control should be designed to support the business model the firm chooses. Also discussed is how existing organizational structures, capabilities, beliefs, cultures and so on influence the firm's ability to flexibly change to new business models. |
| data as a service business model: Big Data Applications and Use Cases Patrick C. K. Hung, 2016-05-18 This book presents different use cases in big data applications and related practical experiences. Many businesses today are increasingly interested in utilizing big data technologies for supporting their business intelligence so that it is becoming more and more important to understand the various practical issues from different practical use cases. This book provides clear proof that big data technologies are playing an ever increasing important and critical role in a new cross-discipline research between computer science and business. |
| data as a service business model: Cloud Data Centers and Cost Modeling Caesar Wu, Rajkumar Buyya, 2015-02-27 Cloud Data Centers and Cost Modeling establishes a framework for strategic decision-makers to facilitate the development of cloud data centers. Just as building a house requires a clear understanding of the blueprints, architecture, and costs of the project; building a cloud-based data center requires similar knowledge. The authors take a theoretical and practical approach, starting with the key questions to help uncover needs and clarify project scope. They then demonstrate probability tools to test and support decisions, and provide processes that resolve key issues. After laying a foundation of cloud concepts and definitions, the book addresses data center creation, infrastructure development, cost modeling, and simulations in decision-making, each part building on the previous. In this way the authors bridge technology, management, and infrastructure as a service, in one complete guide to data centers that facilitates educated decision making. - Explains how to balance cloud computing functionality with data center efficiency - Covers key requirements for power management, cooling, server planning, virtualization, and storage management - Describes advanced methods for modeling cloud computing cost including Real Option Theory and Monte Carlo Simulations - Blends theoretical and practical discussions with insights for developers, consultants, and analysts considering data center development |
| data as a service business model: The Palgrave Handbook of Servitization Marko Kohtamäki, Tim Baines, Rodrigo Rabetino, Ali Ziaee Bigdeli, Christian Kowalkowski, Rogelio Oliva, Vinit Parida, 2021-07-26 Manufacturers have shifted their focus from products to smart solutions in search of higher returns and additional growth opportunities. This shift, described as servitization, or lately as a digital servitization, is not a simple process. Academic study has revealed that its issues are complex, problematic, contingent, and even paradoxical, involving multiple organizational layers, such as operations, strategic, relational, and even ecosystemic layers. Recent literature studies have called for improved theories in servitization, and even alternative narratives. In this handbook, the chapters take different perspectives towards servitization, digital servitization or Product-Service-Software systems, presenting and debating over concepts such as organizational transformation, change management, strategic management, business models, innovation and product-service operations. The handbook provides an opportunity to develop improved theoretical grounds for servitization, and thus to elaborate and develop the field further. This volume will be of great interest for the servitization community, including scholars, Ph.D. and master students, but also company managers, developers and consultants facilitating company’s servitization efforts. |
| data as a service business model: In Search of Excellence Thomas J. Peters, Robert H. Waterman, Jr., 2012-11-27 The Greatest Business Book of All Time (Bloomsbury UK), In Search of Excellence has long been a must-have for the boardroom, business school, and bedside table. Based on a study of forty-three of America's best-run companies from a diverse array of business sectors, In Search of Excellence describes eight basic principles of management -- action-stimulating, people-oriented, profit-maximizing practices -- that made these organizations successful. Joining the HarperBusiness Essentials series, this phenomenal bestseller features a new Authors' Note, and reintroduces these vital principles in an accessible and practical way for today's management reader. |
| data as a service business model: What's Your Digital Business Model? Peter Weill, Stephanie Woerner, 2018-04-17 Digital transformation is not about technology--it's about change. In the rapidly changing digital economy, you can't succeed by merely tweaking management practices that led to past success. And yet, while many leaders and managers recognize the threat from digital--and the potential opportunity--they lack a common language and compelling framework to help them assess it and guide them in responding. They don't know how to think about their digital business model. In this concise, practical book, MIT digital research leaders Peter Weill and Stephanie Woerner provide a powerful yet straightforward framework that has been field-tested globally with dozens of senior management teams. Based on years of study at the MIT Center for Information Systems Research (CISR), the authors find that digitization is moving companies' business models on two dimensions: from value chains to digital ecosystems, and from a fuzzy understanding of the needs of end customers to a sharper one. Looking at these dimensions in combination results in four distinct business models, each with different capabilities. The book then sets out six driving questions, in separate chapters, that help managers and executives clarify where they are currently in an increasingly digital business landscape and highlight what's needed to move toward a higher-value digital business model. Filled with straightforward self-assessments, motivating examples, and sharp financial analyses of where profits are made, this smart book will help you tackle the threats, leverage the opportunities, and create winning digital strategies. |
| data as a service business model: Big Data For Small Business For Dummies Bernard Marr, 2016-01-05 Capitalise on big data to add value to your small business Written by bestselling author and big data expert Bernard Marr, Big Data For Small Business For Dummies helps you understand what big data actually is—and how you can analyse and use it to improve your business. Free of confusing jargon and complemented with lots of step-by-step guidance and helpful advice, it quickly and painlessly helps you get the most from using big data in a small business. Business data has been around for a long time. Unfortunately, it was trapped away in overcrowded filing cabinets and on archaic floppy disks. Now, thanks to technology and new tools that display complex databases in a much simpler manner, small businesses can benefit from the big data that's been hiding right under their noses. With the help of this friendly guide, you'll discover how to get your hands on big data to develop new offerings, products and services; understand technological change; create an infrastructure; develop strategies; and make smarter business decisions. Shows you how to use big data to make sense of user activity on social networks and customer transactions Demonstrates how to capture, store, search, share, analyse and visualise analytics Helps you turn your data into actionable insights Explains how to use big data to your advantage in order to transform your small business If you're a small business owner or employee, Big Data For Small Business For Dummies helps you harness the hottest commodity on the market today in order to take your company to new heights. |
| data as a service business model: Deliver Value in the Data Economy Jarkko Moilanen, Toni Luhti, Jussi Niilahti, 2023-02-27 The book is for data monetization purposes, helps you to build bridge between IT department and business design to maximise data driven value creation. Data productizement and servitization are explained with real-world example case stories. This book is primarily for data business developers and contains just bare minimum of technical terms. |
| data as a service business model: Essential Topics Of Managing Information Systems Jun Xu, 2019-11-05 This comprehensive compendium is about managing information systems and focuses on relationships between information, information systems, people and business. The impacts, roles, risks, challenges as well as emerging trends of information systems are an important element of the book.Essential and critical information systems management skills including using information systems for competitive advantages, planning and evaluating information systems, developing and implementing information systems, and managing information systems operation form a critical part of this unique reference text.Current topics like digital platforms, agile organization, DevOPs, blockchain, 5G, data center and quantum computing prove indispensable for readers who want to stay in the forefront of today's complex information systems. |
| data as a service business model: Exploring Services Science Stefano Za, Monica Drăgoicea, Maurizio Cavallari, 2017-04-04 This book constitutes the proceedings of the 8th International Conference on Exploring Services Science, IESS 2017, held in Rome, Italy, in May 2017. The 33 papers presented in this volume were carefully reviewed and selected from 48 submissions. IESS 2017 covered major research and development areas related to Service Science foundations, service engineering and management, service innovation, service orientation of processes, applications in service sectors and ICT support for services. The presented papers were organized in topical sections named: theoretical contributions: literature analysis and conceptual models; service systems analysis and design; service organizations case studies and practices; and sustainability: service ecosystems, environment control and transportation. |
| data as a service business model: Advances in Mobile Cloud Computing and Big Data in the 5G Era Constandinos X. Mavromoustakis, George Mastorakis, Ciprian Dobre, 2016-11-19 This book reports on the latest advances on the theories, practices, standards and strategies that are related to the modern technology paradigms, the Mobile Cloud computing (MCC) and Big Data, as the pillars and their association with the emerging 5G mobile networks. The book includes 15 rigorously refereed chapters written by leading international researchers, providing the readers with technical and scientific information about various aspects of Big Data and Mobile Cloud Computing, from basic concepts to advanced findings, reporting the state-of-the-art on Big Data management. It demonstrates and discusses methods and practices to improve multi-source Big Data manipulation techniques, as well as the integration of resources availability through the 3As (Anywhere, Anything, Anytime) paradigm, using the 5G access technologies. |
| data as a service business model: Pragmatic Internet of Everything (IOE) for Smart Cities: 360-Degree Perspective Satya Prakash Yadav, Sansar Singh Chauhan, Sanjeev Kumar Pippal, Victor Hugo C. De Albuquerque, 2023-10-13 Pragmatic Internet of Everything (IOE) has emerged as a powerful paradigm for representing and solving complex problems. This reference demonstrates how to coordinate behaviour among a collection of semi-autonomous problem-solving agents: how they can coordinate their knowledge, goals and plans to act together, to solve joint problems, or to make individually or globally rational decisions in the face of uncertainty and multiple, conflicting perspectives. The book presents a collection of articles surveying several major recent developments in Pragmatic Internet of Everything (IOE). The book focuses on issues and challenges that arise in building IOE systems for smart cities in real-world settings. It also presents solutions to the issues faced by system architects. The synthesis of recent thinking, both theoretical and applied, on major IOE problems makes this essential reading for anyone involved in the design and planning of IOT systems for smart cities. Key Features - Summarizes available literature and practical ventures with reference - Merges different perspectives on IoT technology thereby giving a 360-degree perspective to the reader - Gives some tips for implementation of practical ventures in this space - Includes an analysis of information gathered from citizens of smart cities |
| data as a service business model: The Business Model Navigator ePub eBook Oliver Gassmann, Karolin Frankenberger, 2014-11-11 A strong business model is the bedrock to business success. But all too often, we fail to adapt, clinging to outdated business models that are no longer delivering the results we need. The brains behind The Business Model Navigator have discovered that just 55 business models are responsible for 90% of our most successful businesses. These 55 models – from the Add-On model used by Ryanair to the Subscription model used by Spotify – provide the blueprints you need to revolutionise your business, spark innovation and drive powerful change. As well as providing a practical framework for adapting and innovating your business model, this book also includes each of the 55 models in a quick-read format that covers: What it is Who invented it and who uses it now When and how to apply it The full text downloaded to your computer With eBooks you can: search for key concepts, words and phrases make highlights and notes as you study share your notes with friends eBooks are downloaded to your computer and accessible either offline through the Bookshelf (available as a free download), available online and also via the iPad and Android apps. Upon purchase, you'll gain instant access to this eBook. Time limit The eBooks products do not have an expiry date. You will continue to access your digital ebook products whilst you have your Bookshelf installed. |
| data as a service business model: Big Data – BigData 2021 Jinpeng Wei, Liang-Jie Zhang, 2022-02-15 This book constitutes the refereed proceedings of the 10th International Conference on Big Data, BigData 2021, held online as part of SCF 2021, during December 10-14, 2021. The 6 full and 2 short papers presented were carefully reviewed and selected from 53 submissions. The topics covered are Big Data Architecture, Big Data Modeling, Big Data As A Service, Big Data for Vertical Industries (Government, Healthcare, etc.), Big Data Analytics, Big Data Toolkits, Big Data Open Platforms, Economic Analysis, Big Data for Enterprise Transformation, Big Data in Business Performance Management, Big Data for Business Model Innovations and Analytics, Big Data in Enterprise Management Models and Practices, Big Data in Government Management Models and Practices, and Big Data in Smart Planet Solutions. |
| data as a service business model: Big Data – BigData 2020 Surya Nepal, Wenqi Cao, Aziz Nasridinov, MD Zakirul Alam Bhuiyan, Xuan Guo, Liang-Jie Zhang, 2020-09-17 This book constitutes the proceedings of the 9th International Conference on Big Data, BigData 2020, held as part of SCF 2020, during September 18-20, 2020. The conference was planned to take place in Honolulu, HI, USA and was changed to a virtual format due to the COVID-19 pandemic. The 16 full and 3 short papers presented were carefully reviewed and selected from 52 submissions. The topics covered are Big Data Architecture, Big Data Modeling, Big Data As A Service, Big Data for Vertical Industries (Government, Healthcare, etc.), Big Data Analytics, Big Data Toolkits, Big Data Open Platforms, Economic Analysis, Big Data for Enterprise Transformation, Big Data in Business Performance Management, Big Data for Business Model Innovations and Analytics, Big Data in Enterprise Management Models and Practices, Big Data in Government Management Models and Practices, and Big Data in Smart Planet Solutions. |
| data as a service business model: Big Data – BigData 2019 Keke Chen, Sangeetha Seshadri, Liang-Jie Zhang, 2019-06-19 This volume constitutes the proceedings of the 8th International Congress on BIGDATA 2019, held as Part of SCF 2019 in San Diego, CA, USA in June 2019. The 9 full papers presented in this volume were carefully reviewed and selected from 14 submissions. They cover topics such as: Big Data Models and Algorithms; Big Data Architectures; Big Data Management; Big Data Protection, Integrity and Privacy; Security Applications of Big Data; Big Data Search and Mining; Big Data for Enterprise, Government and Society. |
| data as a service business model: Big Data for the Greater Good Ali Emrouznejad, Vincent Charles, 2018-07-13 This book highlights some of the most fascinating current uses, thought-provoking changes, and biggest challenges that Big Data means for our society. The explosive growth of data and advances in Big Data analytics have created a new frontier for innovation, competition, productivity, and well-being in almost every sector of our society, as well as a source of immense economic and societal value. From the derivation of customer feedback-based insights to fraud detection and preserving privacy; better medical treatments; agriculture and food management; and establishing low-voltage networks – many innovations for the greater good can stem from Big Data. Given the insights it provides, this book will be of interest to both researchers in the field of Big Data, and practitioners from various fields who intend to apply Big Data technologies to improve their strategic and operational decision-making processes. |
| data as a service business model: Big Data – BigData 2023 Shunli Zhang, Bo Hu, Liang-Jie Zhang, 2023-09-22 This book constitutes the refereed proceedings of the 12th International Conference, BigData 2023, Held as Part of the Services Conference Federation, SCF 2023, Honolulu, HI, USA, during September 23–26, 2023. The 14 full papers presented together with 2 short papers were carefully reviewed and selected from 27 submissions. The conference focuses on research track and application track. |
| data as a service business model: Business Models for the Data Economy Q. Ethan McCallum, Ken Gleason, 2013-10-28 You're sitting on a pile of interesting data. How do you transform that into money? It's easy to focus on the contents of the data itself, and to succumb to the (rather unimaginative) idea of simply collecting and reselling it in raw form. While that's certainly profitable right now, you'd do well to explore other opportunities if you expect to be in the data business long-term. In this paper, we'll share a framework we developed around monetizing data. We'll show you how to think beyond pure collection and storage, to move up the value chain and consider longer-term opportunities. |
| data as a service business model: Big Data – BigData 2022 Bo Hu, Yunni Xia, Yiwen Zhang, Liang-Jie Zhang, 2022-12-09 This book constitutes the proceedings of the 11th International Conference on Big Data, BigData 2022, held as part of the Services Conference Federation, SCF 2022, held in Honolulu, HI, USA, in December 2022. The 4 full papers and 5 short papers presented in this volume were carefully reviewed and selected from 16 submissions. The 2022 International Congress on Big Data (BigData 2022) aims to provide an international forum that formally explores various business insights of all kinds of value-added services. Big Data is a key enabler of exploring business insights and economics of services. |
| data as a service business model: Corporate Digital Responsibility Saskia Dörr, 2021-09-21 This book describes in detail how corporate responsibility is changing in the age of big data and artificial intelligence and demonstrates how corporate digital responsibility can offer companies a sustainable competitive advantage. Business leaders and managers find a comprehensive guideline to professionally implement these innovative aspects in practice. It enables them to shape their businesses' success in a societally responsible and ethical manner in the context of digital transformation. As an essential guide, it invites executives, corporate responsibility officers, digital ethics experts, sustainability consultants, and anyone interested to learn about the opportunities of responsible digitalization at companies. In addition, the book offers a well-structured introduction to the still young field of corporate management and governance. |
| data as a service business model: Strategy, Leadership, and AI in the Cyber Ecosystem Hamid Jahankhani, Liam M. O'Dell, Gordon Bowen, Daniel Hagan, Arshad Jamal, 2020-11-10 Strategy, Leadership and AI in the Cyber Ecosystem investigates the restructuring of the way cybersecurity and business leaders engage with the emerging digital revolution towards the development of strategic management, with the aid of AI, and in the context of growing cyber-physical interactions (human/machine co-working relationships). The book explores all aspects of strategic leadership within a digital context. It investigates the interactions from both the firm/organization strategy perspective, including cross-functional actors/stakeholders who are operating within the organization and the various characteristics of operating in a cyber-secure ecosystem. As consumption and reliance by business on the use of vast amounts of data in operations increase, demand for more data governance to minimize the issues of bias, trust, privacy and security may be necessary. The role of management is changing dramatically, with the challenges of Industry 4.0 and the digital revolution. With this intelligence explosion, the influence of artificial intelligence technology and the key themes of machine learning, big data, and digital twin are evolving and creating the need for cyber-physical management professionals. - Discusses the foundations of digital societies in information governance and decision-making - Explores the role of digital business strategies to deal with big data management, governance and digital footprints - Considers advances and challenges in ethical management with data privacy and transparency - Investigates the cyber-physical project management professional [Digital Twin] and the role of Holographic technology in corporate decision-making |
| data as a service business model: Digital Transformation in Industry Vikas Kumar, Grigorios L. Kyriakopoulos, Victoria Akberdina, Evgeny Kuzmin, 2023-05-29 This book offers a selection of the best papers presented at the annual international scientific conference “Digital Transformation in Industry: Trends, Management, Strategies,” which was held by the Institute of Economics of the Ural Branch of the Russian Academy of Sciences (Ekaterinburg, Russia) on October 28, 2022. The book focuses on concepts for initiating digitalization processes and identifying successful digital transformation strategies in all sectors of industry. Key topics include the sustainability of digital transformation in uncertain dynamics; conditions of uncertainty and barriers; industrial logistics in the new reality; best practices for implementing digital solutions to ensure sustainable, barrier-free and flexible supply chains; the achievement of sustainability in the process of digital transition; the adaptation of enterprises to the ESG concept through digital solutions; assessing the impact of industrial digital transformation on society and the environment; and clarifying how ESG aspects affect the economy. The experiences of various countries, regions and types of enterprise implementing IT and other technological innovations are also included, making the book a valuable asset for researchers and managers alike. |
| data as a service business model: E-Service Digital Innovation Kyeong Kang, Fatuma Namisango, 2023-12-13 Dive deep into the transformative world of digital services with E-service Digital Innovation, a masterful blend of academic rigor and real-world insights. This text dissects the complexities of user motivation, the symbiotic dance between digital innovations and societal structures, and the collaborative essence of value co-creation. Venture into the heart of banking’s digital metamorphosis and unravel the strategies shaping today’s digital business models. With chapters dedicated to the revolutionary Industry 5. 0, the transformative powers of AI and blockchain, and the resilience imperative in business continuity, this book stands as a beacon for scholars and practitioners alike. Beyond the urban digital realms, discover the nuanced dynamics of rural digital adoption and the future of e-service in higher education. Grasp the intricacies of instructional learning design, data monetization ethics, and the innovative potential of IoT in urban planning. E-Service Digital Innovation invites you to engage, learn, and emerge as a contributor to the ever-evolving digital landscape. Your journey toward understanding and shaping the digital future starts here. Key Advantages: •Comprehensive coverage: From user psychology to the avant-garde applications of digital innovation •Scholarly rigor: A seminal text for academics, researchers, and industry experts •Practical wisdom: Real-world insights to navigate and shape the digital future •Diverse perspectives: Topics range from AI in e-commerce to the transformative potential of self-financing cities |
| data as a service business model: Data Strategy Bernard Marr, 2017-04-03 BRONZE RUNNER UP: Axiom Awards 2018 - Business Technology Category Less than 0.5 per cent of all data is currently analyzed and used. However, business leaders and managers cannot afford to be unconcerned or sceptical about data. Data is revolutionizing the way we work and it is the companies that view data as a strategic asset that will survive and thrive. Data Strategy is a must-have guide to creating a robust data strategy. Explaining how to identify your strategic data needs, what methods to use to collect the data and, most importantly, how to translate your data into organizational insights for improved business decision-making and performance, this is essential reading for anyone aiming to leverage the value of their business data and gain competitive advantage. Packed with case studies and real-world examples, advice on how to build data competencies in an organization and crucial coverage of how to ensure your data doesn't become a liability, Data Strategy will equip any organization with the tools and strategies it needs to profit from Big Data, analytics and the Internet of Things (IoT). |
| data as a service business model: E-Book Business Driven Technology BALTZAN, 2017-01-16 E-Book Business Driven Technology |
| data as a service business model: Big Data in Small Business Lund Pedersen, Carsten, Lindgreen, Adam, Ritter, Thomas, Ringberg, Torsten, 2021-09-21 This important book considers the ways in which small and medium-sized enterprises (SMEs) can thrive in the age of big data. To address this central issue from multiple viewpoints, the editors introduce a collection of experiences, insights, and guidelines from a variety of expert researchers, each of whom provides a piece to solve this puzzle. |
| data as a service business model: Embedded Analytics Donald Farmer, Jim Horbury, 2023-05-15 Over the past 10 years, data analytics and data visualization have become essential components of an enterprise information strategy. And yet, the adoption of data analytics has remained remarkably static, reaching no more than 30% of potential users. This book explores the most important techniques for taking that adoption further: embedding analytics into the workflow of our everyday operations. Authors Donald Farmer and Jim Horbury show business users how to improve decision making without becoming analytics specialists. You'll explore different techniques for exchanging data, insights, and events between analytics platforms and hosting applications. You'll also examine issues including data governance and regulatory compliance and learn best practices for deploying and managing embedded analytics at scale. Learn how data analytics improves business decision making and performance Explore advantages and disadvantages of different embedded analytics platforms Develop a strategy for embedded analytics in an organization or product Define the architecture of an embedded solution Select vendors, platforms, and tools to implement your architecture Hire or train developers and architects to build the embedded solutions you need Understand how embedded analytics interacts with traditional analytics |
| data as a service business model: Internet of Things, Artificial Intelligence and Blockchain Technology R.Lakshmana Kumar, Yichuan Wang, T. Poongodi, Agbotiname Lucky Imoize, 2021-09-02 This book explores the concepts and techniques of IoT, AI, and blockchain. Also discussed is the possibility of applying blockchain for providing security in various domains. The specific highlight of this book is focused on the application of integrated technologies in enhancing data models, better insights and discovery, intelligent predictions, smarter finance, smart retail, global verification, transparent governance, and innovative audit systems. The book allows both practitioners and researchers to share their opinions and recent research in the convergence of these technologies among academicians and industry people. The contributors present their technical evaluation and compare it with existing technologies. Theoretical explanation and experimental case studies related to real-time scenarios are also included. This book pertains to IT professionals, researchers and academicians working on fourth revolution technologies. |
| data as a service business model: Big Data: Concepts, Methodologies, Tools, and Applications Management Association, Information Resources, 2016-04-20 The digital age has presented an exponential growth in the amount of data available to individuals looking to draw conclusions based on given or collected information across industries. Challenges associated with the analysis, security, sharing, storage, and visualization of large and complex data sets continue to plague data scientists and analysts alike as traditional data processing applications struggle to adequately manage big data. Big Data: Concepts, Methodologies, Tools, and Applications is a multi-volume compendium of research-based perspectives and solutions within the realm of large-scale and complex data sets. Taking a multidisciplinary approach, this publication presents exhaustive coverage of crucial topics in the field of big data including diverse applications, storage solutions, analysis techniques, and methods for searching and transferring large data sets, in addition to security issues. Emphasizing essential research in the field of data science, this publication is an ideal reference source for data analysts, IT professionals, researchers, and academics. |
| data as a service business model: Big Data – BigData 2018 Francis Y. L. Chin, C. L. Philip Chen, Latifur Khan, Kisung Lee, Liang-Jie Zhang, 2018-06-20 This volume constitutes the proceedings of the 7th International Conference on BIGDATA 2018, held as Part of SCF 2018 in Seattle, WA, USA in June 2018. The 22 full papers together with 10 short papers published in this volume were carefully reviewed and selected from 97 submissions. They are organized in topical sections such as Data analysis, data as a service, services computing, data conversion, data storage, data centers, dataflow architectures, data compression, data exchange, data modeling, databases, and data management. |
| data as a service business model: The Changing World of Mobile Communications Petri Ahokangas, Annabeth Aagaard, 2023-11-18 This open access book from the world’s first 6G Flagship research program at the University of Oulu, Finland, provides a multi-disciplinary and insightful overview of the subject, with contributions from experts in the field. Today’s fourth generation of mobile connectivity services (4G) are available everywhere, and adoption of fifth generation (5G) networks is well underway. Compared to 4G, 5G has already brought about new business opportunities and enabled seamless virtual and augmented reality services, but also raised serious concerns on data privacy and security and the use of artificial intelligence. The sixth generation (6G) networks are already in R&D phase aiming at deployment in 2030. We need to understand today what 5G evolution and 6G may bring for the future of service delivery and how they will influence us. The contributions answer what 5G, its evolution, and 6G will be about; what kind of impacts 5G and 6G will have on future digital services, businesses, and society; how we could benefit from 5G and 6G innovations; and how 5G and 6G should be regulated in the future. Future 5G evolution and 6G are not only about moving toward faster, better, and more secure networks providing the basis for innovative digital services, they are also going to bring about a huge digital disruption that will affect all levels of society. This book will be of great interest to academics and students of management, telecommunications and digital innovation, as well practitioners and policymakers looking to the future of business. |
| data as a service business model: Exploring Service Science Gerhard Satzger, Lia Patrício, Mohamed Zaki, Niklas Kühl, Peter Hottum, 2018-09-12 This book constitutes the proceedings of the 9th International Conference on Exploring Services Science, IESS 2018, held in Karlsruhe, Germany, in September 2018. The 30 papers presented in this volume were carefully reviewed and selected from 67 submissions. The book is structured in six parts, each featuring contributions describing current research in a particular domain of service science: Service Design and Innovation; Smart Service Processes; Big Data in Services; Service Topics Open Exploration; Design Science Research in Services. The book offers an extended, ICT-focused vision on services and addresses multiple relevant aspects, including underlying business models, the necessary processes and technological capabilities like big data and machine learning. The academic work showcased at the conference should help to advance service science and its application in practice. |
| data as a service business model: Mastering the Data Paradox Nitin Seth, 2024-03-18 There are two remarkable phenomena that are unfolding almost simultaneously. The first is the emergence of a data-first world, where data has become a central driving force, shaping industries and fueling innovation. The second is the dawn of the AI age, propelled by the advent of Generative AI, that has created the possibility to leverage the data of the world for the first time. The convergence of these two, with data as the common denominator, holds immense promise and the opportunities are boundless. This book provides us with opportunities to push our thinking, to innovate, to transform and to create a better future at all levels—individual, enterprise and the world. |
| data as a service business model: Data-Driven Innovation Big Data for Growth and Well-Being OECD, 2015-10-06 This report improves the evidence base on the role of Data Driven Innovation for promoting growth and well-being, and provide policy guidance on how to maximise the benefits of DDI and mitigate the associated economic and societal risks. |
| data as a service business model: Smart Business: Technology and Data Enabled Innovative Business Models and Practices Karl R. Lang, Jennifer Xu, Bin Zhu, Xiao Liu, Michael J. Shaw, Han Zhang, Ming Fan, 2021-01-30 This book constitutes revised selected papers from the 18th Workshop on e-Business, WeB 2019, which took place in Munich, Germany, in December 2019. The purpose of WeB is to provide a forum for researchers and practitioners to discuss findings, novel ideas, and lessons learned to address major challenges and map out the future directions for e-Business. The WeB 2019 theme was “Smart Business: Technology and Data Enabled Innovative Business Models and Practices.” The 20 papers included in this volume were carefully reviewed and selected from a total of 42 submissions. The contributions are organized in topical sections as follows: crowdfunding and blockchain; business analytics; digital platforms and social media; managing e-Business projects and processes; and global e-Business. |
| data as a service business model: Economics of Grids, Clouds, Systems, and Services Karim Djemame, Jörn Altmann, José Ángel Bañares, Orna Agmon Ben-Yehuda, Maurizio Naldi, 2019-11-23 This book constitutes the refereed proceedings of the 16th International Conference on Economics of Grids, Clouds, Systems, and Services, GECON 2019, held in Leeds, UK, in September 2019. The 12 full papers and 10 short papers presented in this book were carefully reviewed and selected from 48 submissions. This GECON 2019 proceedings was structured in selected topics, namely: blockchain technology and smart contracts; cost-based computing allocation; resource, service and communication federations; economic assessment, business and pricing models; blockchain and network function virtualization technologies; economic models for cyber-physical systems, industry 4.0 and sustainable systems; resource management; and emerging ideas. |
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 …
IT4IT™ Service Model - Open Group
ability to tie key data objects in the Service Model back to the definition of service. This enhances the ability ... Logical Service data is maintained over the life of the Digital Service and does not …
PDF: IT@Intel: Data Center Strategy Leading Intel s Business …
4 | IT@Intel Data Center Strategy White Paper Aligning Data Center Investments with Business Needs We have learned that a one-size-fits-all architecture is not the best approach for Intel’s …
The business of platforms - Deloitte United States
the technology that defines their business model, but rather the technology that is in many cases a key enabler of the business model and associated experiences that are enabled. It is …
Energy As A Service Business Model Full PDF
costs pricing and business models Business Models for Renewable Energy in the Built Environment Routledge,2013-03-05 Business Models for Renewable Energy in the Built …
Five Keys to a Successful Shared Services Transformation
the service or transaction center, the individual centers of expertise, and the field with your business partners or business-facing roles. Once the vision step is completed, the …
Data Mesh Reference Architecture (DMRA) Chief Digital and …
Virtually federated catalog enabling Defense-wide visibility of data and interfaces through pointers to DoD assets and services. 4 ; Data and Metadata Profiles (xBOMs) Managed service …
RWS Data Services for AI
high-quality data and data service providers trustworthy enough to meet compliance requirements is a struggle. This is a major problem for data scientists, who don’t want to spend all their time …
The Human Services Value Curve - Ascend at the Aspen Institute
6 The Human Services Value Curve A Framework for Improved Human Services Outcomes, Value, and Legitimacy 7 Regulative: Diagnostic Metrics and Checkpoints • Outcomes & Impact …
Army Unified Data Reference Architecture - United States Army
mission or business demand. Data products are designed to be high quality, easy to use, self-describing and computationally governed. ... • Data products are available for consumption by …
The Insider’s Guide to Shared Services - HR C-Suite
The! purpose! of! the! shared service! model! is! to achieve! optimal! operational! effectiveness through! shifting internal! services to! another! location! within! the …
TDWI BIG DATA MATURITY MODEL GUIDE
approaches. She has more than 20 years of experience in data and business analysis, and has published numerous articles on data mining and information technology. Halper is co-author of …
A global data company reinvents its business model through …
This engagement reinforces our ‘business first’ approach to help clients accelerate their cloud journey. Our solution helped the client re-invent their business model to ‘as-a-service’ and …
Basic Business Models for Banks Providing Digital Financial …
the term Big Data was becoming better known, no one yet realized the power of data to drive financial services. In 2011, there were 123 digital financial service deployments with no data …
The Evolution of the HR Business Partner Role - ScottMadden
The leading practice service delivery model for HR (shown in Figure 1 below) has three components. ... With the migration to the new HR delivery model, the HR business partner’s …
Business Model Reinvention: The Strategic Path to a …
#US52438324 Page 3 SPOTLIGHT Business Model Reinvention: The Strategic Path to a Successful XaaS Business Model » Revenue that scales with delivered customer value: …
Data Architecture Series The Unified Data Fabric - Cloudera
service manner, leveraging data platforms . such as data lakes, data warehouses, NoSQL, translytical, and others to deliver a unified, trusted, and comprehensive view of customer and …
Adani Airports Business Presentation XXXXXXXXXXXX - Adani …
CSD Business focused to City Dwellers Aero Business Non-Aero Business CSD Business Aero Operational Excellence Untapped Non-Aero Services Economies of Scale & global best …
Pharmacovigilance (PV) Outsourcing — Emerging PV …
and improve the PV delivery model. Efficiently managing the PV delivery model There are three general lines of attack in achieving the capabilities required to meet today’s challenging …
Internet of Things
This paper illustrates the use of the IoT service business model in the development of smart hotel rooms. 2. IoT ecosystem for enterprises and trends Moore [11] suggests that an enterprise be …
Data Management Operating Procedures and Guidelines
Replace DM OP -023 with New Model Review Procedure. pp. 16, 29, 41-42 Version 5.1 04/27/2010 Update DM OP-008 to further clarify entity definitions.
ENERGY AS A SERVICE - IRENA
as-a-Service (EaaS) business model, a customer-centric business model that emerged to share and monetise the value created by increased digitalisation and decentralisation of the power …
CDO PLAYBOOK - Data.gov
with data. PLAY #2 Promote data sharing and break organizational silos. PLAY #3 an`d are not prescribed in any order, Build a data-driven culture by taking the lead to improve data literacy …
Business Models for Distributed Energy Resources
paradoxically, studies of business models often do not define either the utility business model or a business model more broadly. 3 [14–16]. Second, many studies define and explore a single …
Data Management Capability Assessment Model (DCAM)
Jul 30, 2014 · 1. The Data Management Strategy discusses the elements of a sound data strategy, why it is important and how the organization needs to be organized to implement. 2. …
BUSINESS MODELS
6 Several tools for strategy definition and business models are based on graphics and visual schemes. Maps are usually used as visual representations of strategy and related issues and …
Model Business Associate Agreement - HHS.gov
MODEL BUSINESS ASSOCIATE AGREEMENT This BUSINESS ASSOCIATE AGREEMENT (the “ BAA ”) is made and entered into as of . by and between , a organized under the laws of …
Guide to developing the Project Business Case - GOV.UK
Action 4: Determine potential business scope and key service requirements 22 Action 5: Determine benefits, risks, constraints and dependencies 23 Identifying the main benefits 23 ...
Quick Reference Guide - Association for Supply Chain …
Data Alignment OE1.10: Communicate Strategic Goals and Initiatives for Implementation OE1.11: Execute, Monitor and Measure Strategic Plan with Key Stakeholders OE2.1: Gather Business …
Leveraging the drone-as-a-service framework in ecommerce
n A drone ight service provider—responsible for validating available quota or sharing usage for the requested service n Cloud applications—for data storage (most applicable for surveys and …
SSIS County Considerations - Minnesota Department of …
and data model for modernization. Aligns data infrastructure with modernization roadmap. (OHS business/MN.IT Services) . Develops modernization roadmap. (OHS business/county SMEs) …
United States Postal Service: A Sustainable Path Forward
Dec 4, 2018 · Service (USPS) and develop recommendations for administrative and legislative reforms for the ... The goal of these recommendations is to identify a path for the USPS to …
WHITE PAPER Federated Data Governance Model - Boston …
The transition to a decentralized domain-driven data governance model is supported by the need to tailor governance priorities to domain-specific business contexts. In principle, data mesh or …
Chapter 9: Creating Revenue Models - University of Kentucky
Offers a product or service for zero cost. –Skype is an example of a freemium model that provides the functionality. –It earns its revenue by charging for Skypeout. Direct Cross-Subsidies • …
INNOVATIVE BUSINESS MODELS FOR EXPANDING FIBER …
Internet from being a luxury service to becoming an important part of many people’s lives, and a key driver of economic and social development. By creating new business models, products, …
How EaaS is Driving Innovation and Empowering Growth in
EaaS is one of the most potent examples of usage-based Business Model Innovation (BMI) in the field today. It enables companies and businesses to access the latest equipment and …
Data & Analytics Center of Excellence PLAYBOOK - U.S.
(i.e., predictive data and analytics, data mining, and artificial intelligence (AI) e˜orts). Data Culture - Organizational investment in data and analytics capacity; cultivation of an environment where …
Energy As A Service Business Model - cie-advances.asme.org
Development of a Business Model for Energy Service Companies ,2020 South Africa is currently experiencing very ... seminars trainings and workshops associated with the study Findings …
Startup Accelerators as Service‐Design and Business Model
the subject of a closer investigation as a service journey and business model. Four distinct factors make accelerators unique: time-limited, cohort-based (a standard course for a selected group), …
The Global Business Services maturity model - KPMG
The Global Business Services maturity model Author: KPMG Subject: What to get right and what to avoid in the GBS journey Keywords; GBS; global business services; GBS maturity; GBS …
How Can AI Cloud Providers Rapidly Roll Out GPU As a Service
The rise of accelerated computing moves server architecture from a retrieval-based model, where the user’s requests are fulfilled by a computer by retrieving data from a remote server, to a …
Mobility-as-a-Service (MaaS) Business Model and Its Role …
UbiGo This fully integrated mobility service combines public transportation, carsharing, rental car service, taxi service, and a bicycle system—all in one app, all on one invoice, with 24/7 …
Data Modeling Guide for Oracle Business Intelligence Publisher
1 Using the Data Model Editor What Is a Data Model? 1-1 Components of a Data Model 1-1 Features of the Data Model Editor 1-2 About the Data Source Options 1-2 Process Overview …
Connected Cars: Business Model Innovation - GSMA
GSMA Connected Living Programme: mAutomotive Connected Cars: Business Model Innovationchnology Roadmap Connected Cars: Business Model Innovation ... 9.2 Large scale …
Rethinking the Health System Operating Model
strategic business units, which are profit centers focused on service offerings and market segments, in health care, Service Lines are emerging that have their own business strategy …
Representing Service Business Models with the Service …
industry. We apply and compare the Business Model Canvas as well as the Service Business Model Canvas. Based on this application, we present an evaluation by an informed argument …
Service Model Innovation in Hospitals: Beyond Expert
Service Model Innovation in Hospitals: Beyond Expert Organizations Christoph Rasche, Tiziana Margaria, and Barry D. Floyd ... (eds.), Service Business Model Innovation in Healthcare and …
A Transaction Cost Perspective of the “Software as a Service” …
Knowledge and Data Engineering, and others. he is a recipient of the lEO award by the Association of Information Systems. ... thE “SOFtwArE AS A SErVICE” BuSINESS MODEl 209
ENERGY AS A SERVICE - IRENA
as-a-Service (EaaS) business model, a customer-centric business model that emerged to share and monetise the value created by increased digitalisation and decentralisation of the power …
BUSINESS GUIDE - 5.imimg.com
business model kiosk model (space: 20 sq ft) store model in future expansion. raw material supply chain packaged puri’s supply ready to load curry packets ... warrenty & service support our …
Drone-as-a-Service Composition Under Uncertainty
Specifically, we propose a service model of DaaS based on the dynamic spatiotemporal features of drones and their in-flight contexts. The proposed DaaS service approach consists of three …
