Data Monetization Business Models

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  data monetization business models: 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 monetization business models: Monetizing Your Data Andrew Roman Wells, Kathy Williams Chiang, 2017-03-13 Transforming data into revenue generating strategies and actions Organizations are swamped with data—collected from web traffic, point of sale systems, enterprise resource planning systems, and more, but what to do with it? Monetizing your Data provides a framework and path for business managers to convert ever-increasing volumes of data into revenue generating actions through three disciplines: decision architecture, data science, and guided analytics. There are large gaps between understanding a business problem and knowing which data is relevant to the problem and how to leverage that data to drive significant financial performance. Using a proven methodology developed in the field through delivering meaningful solutions to Fortune 500 companies, this book gives you the analytical tools, methods, and techniques to transform data you already have into information into insights that drive winning decisions. Beginning with an explanation of the analytical cycle, this book guides you through the process of developing value generating strategies that can translate into big returns. The companion website, www.monetizingyourdata.com, provides templates, checklists, and examples to help you apply the methodology in your environment, and the expert author team provides authoritative guidance every step of the way. This book shows you how to use your data to: Monetize your data to drive revenue and cut costs Connect your data to decisions that drive action and deliver value Develop analytic tools to guide managers up and down the ladder to better decisions Turning data into action is key; data can be a valuable competitive advantage, but only if you understand how to organize it, structure it, and uncover the actionable information hidden within it through decision architecture and guided analytics. From multinational corporations to single-owner small businesses, companies of every size and structure stand to benefit from these tools, methods, and techniques; Monetizing your Data walks you through the translation and transformation to help you leverage your data into value creating strategies.
  data monetization business models: Digital Business Models Adam Jabłoński, Marek Jabłoński, 2020-10-11 By presenting the conditions, methods and techniques of monetisation of business models in the digital economy, this book combines implementation of the theoretical aspects of monetisation with the presentation of practical business solutions in this field. The scope of the book includes the relationship between the monetisation and scalability degree of business models. The book describes the place and role of the digital business ecosystem in the process of digital transformation. It demonstrates ideological and functional conditions for the use of the concept of sharing to design innovative business models while also presenting a multi-dimensional approach to the use of Big Data and their monetisation in the context of business models. Digital Business Models shows the place and role of ecological and social factors in building digital business models that are part of the concept of the circular economy and presents the contemporary conditions of a sustainability concept that meets the ethical challenges of doing digital business. It demonstrates how important the social factors of business model design and the creation of social value are in modern business and demonstrates. The book explores the servitisation of digital business models using digital technologies and features case studies on the effective solutions of business models that use servitisation as a factor supporting the monetisation of business models. Written for scholars exploring the efficiency and effectiveness of business models related to contemporary concepts – Sharing Economy, Circular Economy, Network Economy, Big Data, so on – and those designing business models taking into account social aspects, it will also be of direct interest to entrepreneurship courses.
  data monetization business models: Monetizing Data Stephan Liozu, Wolfgang Ulaga, 2018-10-30 The Digital revolution promises trillions of dollars in created value by 2030. Consultants and researchers are projecting massive and disruptive disruption in entire industrial sectors. As a results, PwC reports in their DigitalIQ report that 73% of executives say that they are investing in internet of things (IoT) and 54% in artificial intelligence. So we are experiencing a deluge of digital investments, programs, and large-scale transformations. Despite this tsunami of activities, many IoT Initiatives stall in the Proof of Concept phase and few are already considered a success. Recently, Siemens revealed that less than a fifth (18%) of surveyed companies analyze more than 60% of production data they collect. In a similar vein, Simon-Kucher & Partners (SKP) reports that 3 out of 4 firms that invested in digitalization in the past 3 years fail in their efforts due to the lack of monetization strategies, the focus on the wrong priorities, the lack of customer intimacy, and the neglect of digital pricing best practices. In fact, only 18% of these firms are true digital heroes. Despite the high level of interest and investments, the reality is that most companies are just getting started. The digital champions are not yet reaping the fruit of their investments. Most companies tend to struggle with the process of designing digital business models, with the development of truly differentiated offers, and with the monetization and pricing of their data-based offers. This book focuses on the topics of data monetization and of the value-based pricing of data-driven offers. The authors introduces a newly-developed practical data monetization roadmap that can be used by digital project teams, incubators, and digital factories to better frame their offers and to apply the principles of value-based pricing. They present options in digital pricing models and practical guidelines on how to deploy them. Readers will learn: The various monetization and value creation models for data-enabled offers The 8 steps of the data monetization framework The best practices in designing differentiated data-enabled offers The value-based pricing of data and options in digital pricing models Business model implications of switching from ownership to consumption model
  data monetization business models: Infonomics Douglas B. Laney, 2017-09-05 Many senior executives talk about information as one of their most important assets, but few behave as if it is. They report to the board on the health of their workforce, their financials, their customers, and their partnerships, but rarely the health of their information assets. Corporations typically exhibit greater discipline in tracking and accounting for their office furniture than their data. Infonomics is the theory, study, and discipline of asserting economic significance to information. It strives to apply both economic and asset management principles and practices to the valuation, handling, and deployment of information assets. This book specifically shows: CEOs and business leaders how to more fully wield information as a corporate asset CIOs how to improve the flow and accessibility of information CFOs how to help their organizations measure the actual and latent value in their information assets. More directly, this book is for the burgeoning force of chief data officers (CDOs) and other information and analytics leaders in their valiant struggle to help their organizations become more infosavvy. Author Douglas Laney has spent years researching and developing Infonomics and advising organizations on the infinite opportunities to monetize, manage, and measure information. This book delivers a set of new ideas, frameworks, evidence, and even approaches adapted from other disciplines on how to administer, wield, and understand the value of information. Infonomics can help organizations not only to better develop, sell, and market their offerings, but to transform their organizations altogether. Doug Laney masterfully weaves together a collection of great examples with a solid framework to guide readers on how to gain competitive advantage through what he labels the unruly asset – data. The framework is comprehensive, the advice practical and the success stories global and across industries and applications. Liz Rowe, Chief Data Officer, State of New Jersey A must read for anybody who wants to survive in a data centric world. Shaun Adams, Head of Data Science, Betterbathrooms.com Phenomenal! An absolute must read for data practitioners, business leaders and technology strategists. Doug's lucid style has a set a new standard in providing intelligible material in the field of information economics. His passion and knowledge on the subject exudes thru his literature and inspires individuals like me. Ruchi Rajasekhar, Principal Data Architect, MISO Energy I highly recommend Infonomics to all aspiring analytics leaders. Doug Laney’s work gives readers a deeper understanding of how and why information should be monetized and managed as an enterprise asset. Laney’s assertion that accounting should recognize information as a capital asset is quite convincing and one I agree with. Infonomics enjoyably echoes that sentiment! Matt Green, independent business analytics consultant, Atlanta area If you care about the digital economy, and you should, read this book. Tanya Shuckhart, Analyst Relations Lead, IRI Worldwide
  data monetization business models: Digital Business Models for Industry 4.0 Carlo Bagnoli, Andrea Albarelli, Stefano Biazzo, Gianluca Biotto, Giuseppe Roberto Marseglia, Maurizio Massaro, Matilde Messina, Antonella Muraro, Luca Troiano, 2022-05-20 Technological advancements are contributing to shape future business models and the industrial scenario. Companies face the challenge of having to adapt to the frequently shifting technology landscape. Therefore, organizations must exploit technological advances to thrive in the digital revolution. This book presents and discusses emerging digital business models in the Industry 4.0. These models are illustrated with real case studies and include data-driven, platform, smart factory and servitization among others. The book introduces a detailed classification to help organizations to redesign their current business models and discusses how to gain unique competitive advantages. The book includes not only theoretical concepts to understand the context of digital transformation but also an assessment framework to enable and support innovation in organizations and create new revenue streams. The book will be of interest to students and professionals alike who want to understand the core of the Industry 4.0.
  data monetization business models: 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 monetization business models: Case Study Research and Applications Robert K. Yin, 2017-09-27 Winner of the 2019 McGuffey Longevity Award from the Textbook & Academic Authors Association (TAA) Recognized as one of the most cited methodology books in the social sciences, the Sixth Edition of Robert K. Yin′s bestselling text provides a complete portal to the world of case study research. With the integration of 11 applications in this edition, the book gives readers access to exemplary case studies drawn from a wide variety of academic and applied fields. Ultimately, Case Study Research and Applications will guide students in the successful use and application of the case study research method.
  data monetization business models: From Big Data to Big Profits Russell Walker, 2015-07-01 Technological advancements in computing have changed how data is leveraged by businesses to develop, grow, and innovate. In recent years, leading analytical companies have begun to realize the value in their vast holdings of customer data and have found ways to leverage this untapped potential. Now, more firms are following suit and looking to monetize Big Data for big profits. Such changes will have implications for both businesses and consumers in the coming years. In From Big Data to Big Profits, Russell Walker investigates the use of Big Data to stimulate innovations in operational effectiveness and business growth. Walker examines the nature of Big Data and how businesses can use it to create new monetization opportunities. Using case studies of Apple, Netflix, Google, LinkedIn, Zillow, Amazon, and other leaders in the use of Big Data, Walker explores how digital platforms such as mobile apps and social networks are changing the nature of customer interactions and the way Big Data is created and used by companies. Such changes, as Walker points out, will require careful consideration of legal and unspoken business practices as they affect consumer privacy. Companies looking to develop a Big Data strategy will find great value in the SIGMA framework, which he has developed to assess companies for Big Data readiness and provide direction on the steps necessary to get the most from Big Data. Rigorous and meticulous, From Big Data to Big Profits is a valuable resource for students, researchers, and professionals with an interest in Big Data, digital platforms, and analytics
  data monetization business models: Big Data Bill Schmarzo, 2013-09-23 Leverage big data to add value to your business Social media analytics, web-tracking, and other technologies help companies acquire and handle massive amounts of data to better understand their customers, products, competition, and markets. Armed with the insights from big data, companies can improve customer experience and products, add value, and increase return on investment. The tricky part for busy IT professionals and executives is how to get this done, and that's where this practical book comes in. Big Data: Understanding How Data Powers Big Business is a complete how-to guide to leveraging big data to drive business value. Full of practical techniques, real-world examples, and hands-on exercises, this book explores the technologies involved, as well as how to find areas of the organization that can take full advantage of big data. Shows how to decompose current business strategies in order to link big data initiatives to the organization’s value creation processes Explores different value creation processes and models Explains issues surrounding operationalizing big data, including organizational structures, education challenges, and new big data-related roles Provides methodology worksheets and exercises so readers can apply techniques Includes real-world examples from a variety of organizations leveraging big data Big Data: Understanding How Data Powers Big Business is written by one of Big Data's preeminent experts, William Schmarzo. Don't miss his invaluable insights and advice.
  data monetization business models: Lean B2B Étienne Garbugli, 2022-03-22 Get from Idea to Product/Market Fit in B2B. The world has changed. Nowadays, there are more companies building B2B products than there’s ever been. Products are entering organizations top-down, middle-out, and bottom-up. Teams and managers control their budgets. Buyers have become savvier and more impatient. The case for the value of new innovations no longer needs to be made. Technology products get hired, and fired faster than ever before. The challenges have moved from building and validating products to gaining adoption in increasingly crowded and fragmented markets. This, requires a new playbook. The second edition of Lean B2B is the result of years of research into B2B entrepreneurship. It builds off the unique Lean B2B Methodology, which has already helped thousands of entrepreneurs and innovators around the world build successful businesses. In this new edition, you’ll learn: - Why companies seek out new products, and why they agree to buy from unproven vendors like startups - How to find early adopters, establish your credibility, and convince business stakeholders to work with you - What type of opportunities can increase the likelihood of building a product that finds adoption in businesses - How to learn from stakeholders, identify a great opportunity, and create a compelling value proposition - How to get initial validation, create a minimum viable product, and iterate until you're able to find product/market fit This second edition of Lean B2B will show you how to build the products that businesses need, want, buy, and adopt.
  data monetization business models: Developer Relations Caroline Lewko, James Parton, 2021-09-16 Increasingly, business leaders are either looking to start a new developer program at their company or looking to increase the impact of their existing DevRel program. In this context, software developers are finally recognized as legitimate decision makers in the technology buying process, regardless of the size of their organization. New companies are appearing with the sole purpose of making tools for developers, and even companies whose primary focus was elsewhere are waking up to the developer opportunity. Even as the need and demand for DevRel has grown, there are still re-occurring challenges for DevRel leaders. It is these challenges that this book addresses, covering all aspects of a DevRel program. It is an essential reference to professionalize the practice of developer relations by providing you with strategic, repeatable, and adoptable frameworks, processes, and tools, including developer segmentation and personas, and developer experience frameworks. In Developer Relations, you’ll find the answers to the following questions: How do we convince stakeholders to support a program? How do we go about creating a program? How do we make developers aware of our offer? How do we stand out from the crowd? How do we get developers to use our products? How do we ensure developers are successful using our products? How do we measure success? How do we maintain the support of our stakeholders? After reading this book you’ll have a clear definition of what developer relations is, the type of companies that engage in DevRel, and the scope and business models involved. What You Will Learn Discover what developer relations is and how it contributes to a company’s success Launch a DevRel program Operate a successful program Measure the success of your program Manage stakeholders Who This Book Is For Those interested in starting a new developer program or looking to increase the impact of their existing one. From executives to investors, from marketing professionals to engineers, all will find this book useful to realize the impact of developer relations.
  data monetization business models: Fostering Global Entrepreneurship Through Business Model Innovation Gupta, Varun, 2023-12-21 In the wake of the pandemic, the global business landscape has experienced unprecedented turbulence, challenging startups and established enterprises equally. This crisis has forced a profound reevaluation of traditional business models, pushing entrepreneurs and business leaders to innovate like never before. The urgency to adapt, particularly for those seeking to expand globally, has become a daunting task. How can entrepreneurs navigate this new, unpredictable terrain and find innovative pathways to success? Fostering Global Entrepreneurship Through Business Model Innovation answers the pressing predicament faced by entrepreneurs, startups, and business leaders in this age of uncertainty. This book has meticulously documented and analyzed real-world practices of startups that not only survived the pandemic but thrived through groundbreaking business model innovations.
  data monetization business models: Big Data MBA Bill Schmarzo, 2015-12-11 Integrate big data into business to drive competitive advantage and sustainable success Big Data MBA brings insight and expertise to leveraging big data in business so you can harness the power of analytics and gain a true business advantage. Based on a practical framework with supporting methodology and hands-on exercises, this book helps identify where and how big data can help you transform your business. You'll learn how to exploit new sources of customer, product, and operational data, coupled with advanced analytics and data science, to optimize key processes, uncover monetization opportunities, and create new sources of competitive differentiation. The discussion includes guidelines for operationalizing analytics, optimal organizational structure, and using analytic insights throughout your organization's user experience to customers and front-end employees alike. You'll learn to “think like a data scientist” as you build upon the decisions your business is trying to make, the hypotheses you need to test, and the predictions you need to produce. Business stakeholders no longer need to relinquish control of data and analytics to IT. In fact, they must champion the organization's data collection and analysis efforts. This book is a primer on the business approach to analytics, providing the practical understanding you need to convert data into opportunity. Understand where and how to leverage big data Integrate analytics into everyday operations Structure your organization to drive analytic insights Optimize processes, uncover opportunities, and stand out from the rest Help business stakeholders to “think like a data scientist” Understand appropriate business application of different analytic techniques If you want data to transform your business, you need to know how to put it to use. Big Data MBA shows you how to implement big data and analytics to make better decisions.
  data monetization business models: 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 monetization business models: Blockchain Matevž Pustišek, Nataša Živić, Andrej Kos, 2021-11-22 Blockchains are seen as a technology for the future, which reduce the cost of trust and revolutionize transactions between individuals, companies and governments. The sense of using blockchains is to minimize the probability of errors, successful frauds and paper-intensive processes. For these reasons, blockchains already have and will have a significant impact to the society and every day’s life, especially in field of Machine to Machine (M2M) communications, which are one of the basic technologies for Internet of Things (IoT). Therefore, blockchains with their inherent property to provide security, privacy and decentralized operation are engine for todays and future reliable, autonomous and trusted IoT platforms. Specially, a disruptive role of ledger technologies in future smart personal mobility systems, which combine smart car industry, smart energy/smart cities will be explained in the book, considering its importance for development of new industrial and business models.
  data monetization business models: Growth Reinvented Mika Ruokonen, 2020-12-03 There are three types of companies in the world: Companies that don't yet benefit from data and AI Companies that use data and AI for internal purposes only Companies that harness data and AI as an asset for competitive global growth Where does your business belong? In Growth Reinvented, business innovation expert Mika Ruokonen takes a deep dive into the rich new landscape of data and AI-enabled business models. Building on a framework of dozens of original case studies and company examples, Growth Reinvented teaches ambitious business leaders how to extract value from data and AI as a conduit for systemic change. Like the steam engine or electricity, data and AI are general-purpose technologies with the potential for powerful and disruptive growth. But current literature on the topic is limited to examining benefits contained within a company's existing products or services, with an emphasis on theory rather than pragmatic detail. Growth Reinvented raises the bar with a concrete and easy-to-use playbook of business model options that leaders can start applying to their data and AI operations. Backed by real-life examples, these models demonstrate options for generating fresh revenue and product/service pathways, including those that open the door to a radically new type of business or industry sector. In a climate of rapidly evolving technologies and fierce global competition, companies must continually interrogate their ability to stay relevant in target markets. Growth Reinvented shows how to do exactly that, with a series of impact-focused and progressive strategies. Get ahead of the competition, understand the challenges and start transforming your data and AI into new, profitable and futureproof business models today. How can Growth Reinvented add value to your business? Build general understanding and awareness Growth Reinvented offers a cohesive, easy-to-follow summary of existing information around data and AI-enabled business models. It brings technology and business thinking together to serve as a synthesis for you to review and apply in real life. Extra online resources are also available for those who want to expand their learning. Deliver financial results and create a competitive edge Growth Reinvented shows how to generate new information using data and AI-enabled business models. For instance, you can learn how to implement models in practice to drive scalable revenue channels and competitive advantage. Avoid common pitfalls and steer towards success: Using clear and detailed case studies, Growth Reinvented highlights the current opportunities and challenges that companies face around data, analytics, machine learning and AI commercialisation. Who is Growth Reinvented for? Business leaders: build a thorough understanding of the growth opportunities behind different kinds of data and AI-enabled business models. R&D professionals: understand the business potential of your data and AI inventions, to work in harmony with corporate decision-makers. Venture capitalists or financial analysts: decide whether to invest in a company that strives to harness data and AI commercially. Students or recent graduates: kickstart your career in data and AI, dotting the line between key technology and business decisions. Policy makers: Understand the business potential of data and AI so that you can create relevant governmental support programmes.
  data monetization business models: Data Science Strategy For Dummies Ulrika Jägare, 2019-07-11 All the answers to your data science questions Over half of all businesses are using data science to generate insights and value from big data. How are they doing it? Data Science Strategy For Dummies answers all your questions about how to build a data science capability from scratch, starting with the “what” and the “why” of data science and covering what it takes to lead and nurture a top-notch team of data scientists. With this book, you’ll learn how to incorporate data science as a strategic function into any business, large or small. Find solutions to your real-life challenges as you uncover the stories and value hidden within data. Learn exactly what data science is and why it’s important Adopt a data-driven mindset as the foundation to success Understand the processes and common roadblocks behind data science Keep your data science program focused on generating business value Nurture a top-quality data science team In non-technical language, Data Science Strategy For Dummies outlines new perspectives and strategies to effectively lead analytics and data science functions to create real value.
  data monetization business models: Precision Medicine for Investigators, Practitioners and Providers Joel Faintuch, Salomao Faintuch, 2019-11-16 Precision Medicine for Investigators, Practitioners and Providers addresses the needs of investigators by covering the topic as an umbrella concept, from new drug trials to wearable diagnostic devices, and from pediatrics to psychiatry in a manner that is up-to-date and authoritative. Sections include broad coverage of concerning disease groups and ancillary information about techniques, resources and consequences. Moreover, each chapter follows a structured blueprint, so that multiple, essential items are not overlooked. Instead of simply concentrating on a limited number of extensive and pedantic coverages, scholarly diagrams are also included. - Provides a three-pronged approach to precision medicine that is focused on investigators, practitioners and healthcare providers - Covers disease groups and ancillary information about techniques, resources and consequences - Follows a structured blueprint, ensuring essential chapters items are not overlooked
  data monetization business models: Platform Business Models for Executives R. Srinivasan, 2023-09-22 This book takes a practice approach to studying platform business models. Drawing from the growing academic literature as well as the practice world, this book intends to provide a framework for analysing platform business firms. Leveraging on the early literature on network economics (that was largely analytical) and the popular writing about new organizations, this book takes a strategic perspective. It answers the five big strategy questions about platform business firms: a. What are platform business models, and how are they different from others; b. How do platform business firms operate, and what value do they create? To whom and how; c. What are those resources that platforms possess and leverage to create and sustain their competitive advantage over others; d. Why and how are they successful? Why do they perform differently from others? What metrics of performance should we use to study and analyse their performance; e. Is this business model sustainable? What determines the longevity of such firms? What are the regulatory and social challenges that these platform business firms face? How do regulators and the larger society manage the disproportionate power distribution among such firms?The book is strategic in nature and highlights the resources defining the strategies of successful platform business firms. In doing so, it provides a field guide for entrepreneurs and managers embarking on building a platform, by providing a portfolio of decisions to make. Though the frameworks could be generalized, the book focuses on platform businesses, rather than societal platforms. With a few extensions, it is possible that these frameworks could be easily applied to non-profit and or social enterprises as well.
  data monetization business models: The Business of Metaverse David Palmer, 2024-06-03 The metaverse is so much more than just a technology and immersive experience. Join digital visionary and global platform innovation expert David Palmer on this exciting journey exploring the metaverse and its myriad commercial, impact and career opportunities for business. The Business of Metaverse outlines the building blocks for success in the metaverse and how organizations can effectively position themselves to transition and benefit from it. It presents a unique framework showing how different components of the metaverse and the physical worlds can come together, providing a basis for strategic positioning for different sectors and industries and equipping readers with valuable insights into how they can anticipate and navigate key opportunities and challenges. Delving into this new world with embedded immersive capabilities, it explores what metaverse business entities could look like, the new business models in waiting and how businesses can gain competitive advantage through the power of interoperability. Taking a panoramic approach to opportunity, it examines the wide-ranging transformative impacts that the metaverse can bring to the business landscape, from equality and inclusive impact, new work and career paths and digital identities to new digital and data currencies in the metaverse economy.
  data monetization business models: Cognitive (Internet of) Things Arvind Sathi, 2016-09-24 This book explores cognitive behavior among Internet of Things. Using a series of current and futuristic examples – appliances, personal assistants, robots, driverless cars, customer care, engineering, monetization, and many more – the book covers use cases, technology and communication aspects of how machines will support individuals and organizations. This book examines the Cognitive Things covering a number of important questions: • What are Cognitive Things? • What applications can be driven from Cognitive Things – today and tomorrow? • How will these Cognitive Things collaborate with each and other, with individuals and with organizations? • What is the cognitive era? How is it different from the automation era? • How will the Cognitive Things support or accelerate human problem solving? • Which technical components make up cognitive behavior? • How does it redistribute the work-load between humans and machines? • What types of data can be collected from them and shared with external organizations? • How do they recognize and authenticate authorized users? How is the data safeguarded from potential theft? Who owns the data and how are the data ownership rights enforced? Overall, Sathi explores ways in which Cognitive Things bring value to individuals as well as organizations and how to integrate the use of the devices into changing organizational structures. Case studies are used throughout to illustrate how innovators are already benefiting from the initial explosion of devices and data. Business executives, operational managers, and IT professionals will understand the fundamental changes required to fully benefit from cognitive technologies and how to utilize them for their own success.
  data monetization business models: The Monetization of Technical Data Daniel Trauth, Thomas Bergs, Wolfgang Prinz, 2023-01-01 The monetization of data is a very young topic, for which there are only very few case studies. There is a lack of strategy or concept that shows decision-makers the way into the monetization of data, especially those who have discovered or are threatened by the digital transformation or Industry 4.0. Because machine data is usually unstructured and not usable without domain knowledge/metadata, the monetization of machine data has an as yet unquantifiable potential. In order to make this potential tangible, this work describes not only contributions from science, but also practical examples from industry. Based on different examples from various industries, the reader can already become part of a future data economy today. Values and benefits are described in detail. The translation was done with the help of artificial intelligence. A subsequent human revision was done primarily in terms of content.
  data monetization business models: Business Models and Modelling Charles Baden-Fuller, Vincent Mangematin, 2015-11-09 In this volume leading scholars from North America, Europe and Asia come together to explore the topic of business models that takes the demand side (customers and their engagement) seriously. The first part deals with the model dimension of business models. The second part deals with business models and change.
  data monetization business models: Business Model Innovation in the Era of the Internet of Things Jan F. Tesch, 2019-01-09 This book outlines an integrative framework for business-model innovation in the paradigm of the Internet of Things. It elaborates several tools and methodologies for the quantitative, qualitative, analytical and effectual evaluation, and analyzes their applicability and efficiency for several phases of the business-model innovation process. As such, it provides guidance to managers, decision-makers and entrepreneurs on how to systematically employ the business-model concept with the aim of achieving sustainable competitive advantages. For researchers the book introduces cases and examples for successful business-model innovation and presents an integrated approach to the methods and tools applied.
  data monetization business models: Intelligent Internet of Things Farshad Firouzi, Krishnendu Chakrabarty, Sani Nassif, 2020-01-21 This holistic book is an invaluable reference for addressing various practical challenges in architecting and engineering Intelligent IoT and eHealth solutions for industry practitioners, academic and researchers, as well as for engineers involved in product development. The first part provides a comprehensive guide to fundamentals, applications, challenges, technical and economic benefits, and promises of the Internet of Things using examples of real-world applications. It also addresses all important aspects of designing and engineering cutting-edge IoT solutions using a cross-layer approach from device to fog, and cloud covering standards, protocols, design principles, reference architectures, as well as all the underlying technologies, pillars, and components such as embedded systems, network, cloud computing, data storage, data processing, big data analytics, machine learning, distributed ledger technologies, and security. In addition, it discusses the effects of Intelligent IoT, which are reflected in new business models and digital transformation. The second part provides an insightful guide to the design and deployment of IoT solutions for smart healthcare as one of the most important applications of IoT. Therefore, the second part targets smart healthcare-wearable sensors, body area sensors, advanced pervasive healthcare systems, and big data analytics that are aimed at providing connected health interventions to individuals for healthier lifestyles.
  data monetization business models: Determann’s Field Guide To Data Privacy Law Lothar Determann, 2020-01-31 Companies, lawyers, privacy officers, compliance managers, as well as human resources, marketing and IT professionals are increasingly facing privacy issues. While information on privacy topics is freely available, it can be diffcult to grasp a problem quickly, without getting lost in details and advocacy. This is where Determann’s Field Guide to Data Privacy Law comes into its own – identifying key issues and providing concise practical guidance for an increasingly complex field shaped by rapid change in international laws, technology and society.
  data monetization business models: Scalability and Sustainability of Business Models in Circular, Sharing and Networked Economies Adam Jabłoński, Marek Jabłoński, 2020-02-13 This book explores many key areas of business science and practice. It is mainly centred on the field of strategic management with a special focus on the concept of business models and the new dimensions of the economy. In terms of economic conditions, the book discusses the principles of the sharing economy, the circular economy, and the networked economy. This multi-faceted approach makes the book holistic, creating a comprehensive image of a multidimensional market. It will appeal to theoreticians and scientists dealing with the issues of building and operationalising innovative business models, as well as students exploring the issues of strategic management and the new economy. Furthermore, it will also be of interest to business practitioners–– both entrepreneurs and top managers––who want to be business virtuosos, who can change their organisations and their business models.
  data monetization business models: Big Data Imperatives Soumendra Mohanty, Madhu Jagadeesh, Harsha Srivatsa, 2013-08-23 Big Data Imperatives, focuses on resolving the key questions on everyone’s mind: Which data matters? Do you have enough data volume to justify the usage? How you want to process this amount of data? How long do you really need to keep it active for your analysis, marketing, and BI applications? Big data is emerging from the realm of one-off projects to mainstream business adoption; however, the real value of big data is not in the overwhelming size of it, but more in its effective use. This book addresses the following big data characteristics: Very large, distributed aggregations of loosely structured data – often incomplete and inaccessible Petabytes/Exabytes of data Millions/billions of people providing/contributing to the context behind the data Flat schema's with few complex interrelationships Involves time-stamped events Made up of incomplete data Includes connections between data elements that must be probabilistically inferred Big Data Imperatives explains 'what big data can do'. It can batch process millions and billions of records both unstructured and structured much faster and cheaper. Big data analytics provide a platform to merge all analysis which enables data analysis to be more accurate, well-rounded, reliable and focused on a specific business capability. Big Data Imperatives describes the complementary nature of traditional data warehouses and big-data analytics platforms and how they feed each other. This book aims to bring the big data and analytics realms together with a greater focus on architectures that leverage the scale and power of big data and the ability to integrate and apply analytics principles to data which earlier was not accessible. This book can also be used as a handbook for practitioners; helping them on methodology,technical architecture, analytics techniques and best practices. At the same time, this book intends to hold the interest of those new to big data and analytics by giving them a deep insight into the realm of big data.
  data monetization business models: The Economic Value of Digital Disruption Vijay Kumar, 2023-10-28 This book is a holistic impact study, replete with real-world examples, of digital transformation enhancing businesses and influencing managers' thinking. It links economic value with digital disruptions, arguing that these disruptions deliver economic benefits, boost shareholder value, and provide societal value. The central discourse is on the ability of digitization to make the world a better place to live in. The book analyses wealth creation due to digital disruption with a global span. It extensively incorporates anecdotal examples of disruptive digitization across countries, accentuating the impact of major digital disruptions. It is targeted at any professional interested in studying digitization's holistic impact. The book provides a discourse on digital topography to make business students industry-ready. Given the pervasive digital economy and a rapidly evolving business world, the book helps practicing managers better appreciate their digital environments. Management students who not only have to survive in this digital landscape but also thrive and chart out a lucrative career will benefit significantly from the book.
  data monetization business models: Handbook on Digital Platforms and Business Ecosystems in Manufacturing Sabine Baumann, 2024-03-14 This timely Handbook examines the rapidly expanding research area of digital platforms and business ecosystems in the context of manufacturing industries. Chapters analyze core topics such as business model transformation, ecosystem design, and governance, offering an up-to-date overview of crucial research.
  data monetization business models: Business Models For Dummies Jim Muehlhausen, 2013-05-20 Write a business model? Easy. Business Models For Dummies helps you write a solid business model to further define your company's goals and increase attractiveness to customers. Inside, you'll discover how to: make a value proposition; define a market segment; locate your company's position in the value chain; create a revenue generation statement; identify competitors, complementors, and other network effects; develop a competitive strategy; and much more. Shows you how to define the purpose of a business and its profitability to customers Serves as a thorough guide to business modeling techniques Helps to ensure that your business has the very best business model possible If you need to update a business model due to changes in the market or maturation of your company,Business Models For Dummies has you covered.
  data monetization business models: Sustainable IoT and Data Analytics Enabled Machine Learning Techniques and Applications V. Ajantha Devi,
  data monetization business models: Annals of Entrepreneurship Education and Pedagogy – 2021 Charles H. Matthews, Eric W. Liguori, 2021-01-29 If you are looking for the intersection of past practices, current thinking, and future insights into the ever-expanding world of entrepreneurship education, then you will want to read and explore the fourth edition of the Annals of Entrepreneurship Education and Pedagogy. Prepared under the auspices of the United States Association for Small Business and Entrepreneurship (USASBE), this edited volume covers a broad range of scholarly, practical, and thoughtful perspectives on a compelling range of entrepreneurship education issues.
  data monetization business models: Internet of Things Applications and Technology Faheem Syeed Masoodi, Alwi Bamhdi, Ankush Manocha, Tawseef Ahmed Teli, Zubair Sayeed Masoodi, Faheem Ahmad Reegu, 2024-09-23 The book provides a comprehensive examination of the integration of IoT technology into various industries and its impact on daily life, with a focus on the most recent advancements in the field. The technical aspects of IoT are thoroughly discussed, including the implementation of cutting-edge sensors, data communication protocols, and network topologies. The book also covers the latest advancements in areas such as edge computing, 5G networks, and AI-powered IoT devices. Emphasis is placed on the examination of IoT in real-world applications, including healthcare, agriculture, transportation, and home automation. Other highlights of the book include: IoT-based systems for monitoring air and water quality Wearable devices for continuous monitoring of vital signs and other health metrics IoT-based systems for monitoring and optimizing crop growth and yields Connected vehicles for improved safety, efficiency, and traffic management Monitoring of goods and resources in transit to optimize delivery times With case studies and real-world examples, readers gain a comprehensive understanding of how IoT is revolutionizing various industries and enhancing daily life. This book is a comprehensive guide to the exciting world of IoT and its practical application.
  data monetization business models: Ecosystem Edge Peter J. Williamson, Arnoud De Meyer, 2020-04-14 To succeed in the face of disruptive competition, companies will need to harness the power of a wide range of partners who can bring different skills, experience, capacity, and their own networks to the task. With the advent of new technologies, rapidly changing customer needs, and emerging competitors, companies across more and more industries are seeing their time-honored ways of making money under threat. In this book, Arnoud De Meyer and Peter J. Williamson explain how business can meet these challenges by building a large and dynamic ecosystem of partners that reinforce, strengthen, and encourage innovation in the face of ongoing disruption. While traditional companies know how to assemble and manage supply chains, leading the development of a vibrant ecosystem requires a different set of capabilities. Ecosystem Edge illustrates how executives need to leave notions of command and control behind in favor of strategies that will attract partners, stimulate learning, and promote the overall health of the network. To understand the practical steps executives can take to achieve this, the authors focus on eight core examples that cross industries and continents: Alibaba Group, Amazon.com, ARM, athenahealth, Dassault Systèmes S.E., The Guardian, Rolls-Royce, and Thomson Reuters. By following the principles outlined in this book, leaders can learn how to unlock rapid innovation, tap into new and original sources of value, and practice organizational flexibility. As a result, companies can gain the ecosystem edge, a key advantage in responding to the challenges of disruption that business sees all around it today.
  data monetization business models: Sustainable International Business Models in a Digitally Transforming World Anshuman Khare, Arto Ojala, William W. Baber, 2022-03-02 The forces of volatility, uncertainty, complexity and ambiguity (VUCA) in today’s world are shaping businesses and calling into question the wisdom of existing business models. VUCA challenges businesses to digitalize and transform in ways they had not contemplated before. This book looks at how successful businesses have revitalized and innovated their business models. It illustrates through cases how these businesses have adapted to new forms of globalization through the lens of Business Model Innovation (BMI) theories in a digital world. This book’s chapters are divided into three sections. The first section examines the existing literature, the second section focuses on business processes and behaviour, and lastly the third section presents four case studies of sustainable international businesses from sectors such the fashion and digital services industry. Paying attention to business decisions and outcomes, the contributors critically examine which theories and practices would be most applicable for a digitally transforming world. This book provides insights that will interest researchers and academics in the fields of sustainable business, organizational change, and digital transformation, amongst others. Its observations into sustainable digital transformation may also interest business leaders and consultants.
  data monetization business models: Valuing Data Dewey E. Ray, 2018-05-25 The past decade has seen a dramatic increase in the amount and variety of information that is generated and stored electronically by business enterprises. Storing this increased volume of information has not been a problem to date, but as these information stores grow larger and larger, multiple challenges arise for senior management: namely, questions such as How much is our data worth? Are we storing our data in the most cost-effective way? Are we managing our data effectively and efficiently? Do we know which data is most important? Are we extracting business insight from the right data? Are our data adding to the value of our business? Are our data a liability? What is the potential for monetizing our data? and Do we have an appropriate risk management plan in place to protect our data? To answer these value-based questions, data must be treated with the same rigor and discipline as other tangible and intangible assets. In other words, corporate data should be treated as a potential asset and should have its own asset valuation methodology that is accepted by the business community, the accounting and valuation community, and other important stakeholder groups. Valuing Data: An Open Framework is a first step in that direction. Its purpose is to: Provide the reader with some background on the nature of data Present the common categories of business data Explain the importance of data management Report the current thinking on data valuation Offer some business reasons to value data Present an open framework—along with some proposed methods—for valuing data The book does not aim to prescribe exactly how data should be valued monetarily, but rather it is a starting point for a discussion of data valuation with the objective of developing a stakeholder consensus, which, in turn, will become accepted standards and practices.
  data monetization business models: 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 monetization business models: Reimagining Businesses with AI Sudhi Sinha, Khaled Al Huraimel, 2020-10-20 Discover what AI can do for your business with this approachable and comprehensive resource Reimagining Businesses with AI acquaints readers with both the business challenges and opportunities presented by the rapid growth and progress of artificial intelligence. The accomplished authors and digital executives of the book provide you with a multi-industry approach to understanding the intersection of AI and business. The book walks you through the process of recognizing and capitalizing on AI’s potential for your own business. The authors describe: How to build a technological foundation that allows for the rapid implementation of artificial intelligence How to manage the disruptive nature of powerful technology while simultaneously harnessing its capabilities The ethical implications and security and privacy concerns raised by the spread of AI Perfect for business executives and managers who seek a jargon-free and approachable manual on how to implement artificial intelligence in everyday operations, Reimagining Businesses with AI also belongs on the bookshelves of anyone curious about the interaction between artificial intelligence and business.
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 …