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| data monetization case studies: 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 case studies: Monetizing Data Management Peter Aiken, Juanita Billings, 2013-10 What’s the Return on Investment (ROI) on data management? Sound like an impossible question to answer? Not if you read this book and learn the value-added approach to managing enterprise resources and assets. This book defines the five interrelated best practices that comprise data management, and shows you how by example to successfully communicate data management ROI to senior management. The 17 cases we share will help you to identify opportunities to introduce data management into the strategic conversations that occur in the C-suite. You will gain a new perspective regarding the stewardship of your data assets and insulate your operations from the chaos, losses and risks that result from traditional approaches to technological projects. And you will learn how to protect yourself from legal challenges resulting from outsourced information technology projects gone badly due to incorrect project sequencing and focus. With the emerging acceptance and adoption of revised performance standards, your organization will be better prepared to face the coming big data deluge! The book contains four chapters: • Chapter 1 gives a somewhat unique perspective to the practice of leveraging data. We describe the motivations and delineate the specific challenges preventing most organizations from making substantial progress in this area. • Chapter 2 presents 11 cases where leveraging data has produced positive financial results that can be presented in language of immediate interest to C-level executives. To the degree possible, we have quantified the effect that data management has had in terms that will be meaningful to them also. • Chapter 3 describes five instances taken from the authors' experiences with various governmental defense departments. The lessons in this section however can be equally applied to many non-profit and non-defense governmental organizations. • Chapter 4 speaks specifically to the interaction of data management practices, in terms of both information technology projects and legal responsibilities. Reading it can help your organization avoid a number of perils, stay out of court and better vet contractors, experts and other helpers who play a role in organization information technology development. From John Bottega Foreword: Data is the new currency. Yes, an expression that is being used quite a bit of late, but it is very relevant in discussing the importance of data and the methodologies by which we manage it. And like any currency, how we manage it determines its true value. Like any currency, it can be managed wisely, or it can be managed foolishly. It can be put to good use, or it can be squandered away. The question is – what factors determine the path that we take? How do we properly manage this asset and realize its full value and potential? In Monetizing Data Management, Peter and Juanita explore the question of how to understand and place tangible value on data and data management. They explore this question through a series of examples and real-world use cases to exemplify how the true value of data can be realized. They show how bringing together business and technology, and applying a data-centric forensic approach can turn massive amounts of data into the tools needed to improve business processes, reduce costs, and better serve the customer. Data monetization is not about turning data into money. Instead, it’s about taking information and turning it into opportunity. It’s about the need to understand the real meaning of data in order to extract value from it. And it’s about achieving this objective through a partnership with business and technology. In Monetizing Data Management, the authors demonstrate how true value can be realized from our data through improved data centric approaches. |
| data monetization case studies: 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 case studies: Navigating the Labyrinth Laura Sebastian-Coleman, An Executive Guide to Data Management |
| data monetization case studies: 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 case studies: Multidisciplinary Research and Practice for Informations Systems Gerald Quirchmayer, Josef Basl, Ilsun You, Lida Xu, Edgar Weippl, 2012-08-14 This book constitutes the refereed proceedings of the IFIP WG 8.4, 8.9, TC 5 International Cross Domain Conference and Workshop on Availability, Reliability and Security, CD-ARES 2012, held in Prague, Czech Republic, in August 2012. The 50 revised papers presented were carefully reviewed and selected for inclusion in the volume. The papers concentrate on the many aspects of information systems bridging the gap between research results in computer science and the many application fields. They are organized in the following topical sections: cross-domain applications: aspects of modeling and validation; trust,security, privacy, and safety; mobile applications; data processing and management; retrieval and complex query processing; e-commerce; and papers from the colocated International Workshop on Security and Cognitive Informatics for Homeland Defense, SeCIHD 2012. |
| data monetization case studies: Data Is Everybody's Business Barbara H. Wixom, Cynthia M. Beath, Leslie Owens, 2023-09-26 A clear, engaging, evidence-based guide to monetizing data, for everyone from employee to board member. Most organizations view data monetization—converting data into money—too narrowly: as merely selling data sets. But data monetization is a core business activity for both commercial and noncommercial organizations, and, within organizations, it’s critical to have wide-ranging support for this pursuit. In Data Is Everybody’s Business, the authors offer a clear and engaging way for people across the entire organization to understand data monetization and make it happen. The authors identify three viable ways to convert data into money—improving work with data, wrapping products with data, and selling information offerings—and explain when to pursue each and how to succeed. Key features of the book: • Grounded in twenty-eight years of academic research, including nine years of research at the MIT Sloan Center for Information Systems Research (MIT CISR) • Definitions of key terms, self-reflection questions, appealing graphics, and easy-to-use frameworks • Rich with detailed case studies • Supplemented by free MIT CISR website resources (cisr.mit.edu) Ideal for organizations engaged in data literacy training, data-driven transformation, or digital transformation, Data Is Everybody’s Business is the essential guide for helping everybody in the organization—not just the data specialists—understand, get excited about, and participate in data monetization. |
| data monetization case studies: Monetizing Your Data Andrew Roman Wells, Kathy Williams Chiang, 2017-02-27 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 case studies: Next Generation Retail Deborah Weinswig, Renee Hartmann, 2023-02-03 Forge deeper and more meaningful connections with consumers and embrace the latest opportunities occurring across the physical and digital retail landscape to become more adaptable, resilient and successful. While change is a constant in retail, flux has accelerated in innovation, digital disruption and changing consumer demands and expectations. Written for both digital-first and physical retailers, Next Generation Retail describes how to respond to the needs and expectations of today's consumers and connect with Generations Z and Alpha in an authentic and relevant way. Highly practical in approach, it explores the latest opportunities and pitfalls to avoid for developments including the metaverse, livestream shopping, instant commerce, blockchain and non-fungible tokens (NFTs). Next Generation Retail also describes how to create compelling content and retail media to drive commerce and monetize data while maintaining customer trust. Featuring original research and interviews with top industry experts, it contains examples and case studies from a range of brands and organizations including Lancôme, Burberry and Walmart. This is an essential resource for retailers of all sizes to adapt to and thrive in today's environment of breakneck change and innovation. |
| data monetization case studies: Case Study Research in the Digital Age John R. Gallagher, 2024-03-04 Case Study Research in the Digital Age is an in-depth exploration of the case study method as applied to social media, algorithms, digital networks, artificial intelligence, and online life. By applying and adapting case study theory to digital phenomena, Case Study Research in the Digital Age argues for a fundamental change to the unit of analysis in case study research: the entity. It uses this change as a jumping off point for an overview of case study work as applied to a variety of digital phenomena, including online discussions, social media communities, and artificial intelligence. Written in an accessible way, this book presents a rigorous theoretical discussion of the very definitions of a case study while providing guidance on case study definitions, research design, data collection, analysis, ethics, and case reporting. Case Study Research in the Digital Age can be used by a wide array of scholars, from novice to seasoned case study researchers, as well as a variety of disciplines, including but not limited to anthropology, communication, education, history, information science, psychology, and sociology. |
| data monetization case studies: Data Is Everybody's Business Barbara H. Wixom, Cynthia M. Beath, Leslie Owens, 2023-09-26 A clear, engaging, evidence-based guide to monetizing data, for everyone from employee to board member. Most organizations view data monetization—converting data into money—too narrowly: as merely selling data sets. But data monetization is a core business activity for both commercial and noncommercial organizations, and, within organizations, it’s critical to have wide-ranging support for this pursuit. In Data Is Everybody’s Business, the authors offer a clear and engaging way for people across the entire organization to understand data monetization and make it happen. The authors identify three viable ways to convert data into money—improving work with data, wrapping products with data, and selling information offerings—and explain when to pursue each and how to succeed. Key features of the book: • Grounded in twenty-eight years of academic research, including nine years of research at the MIT Sloan Center for Information Systems Research (MIT CISR) • Definitions of key terms, self-reflection questions, appealing graphics, and easy-to-use frameworks • Rich with detailed case studies • Supplemented by free MIT CISR website resources (cisr.mit.edu) Ideal for organizations engaged in data literacy training, data-driven transformation, or digital transformation, Data Is Everybody’s Business is the essential guide for helping everybody in the organization—not just the data specialists—understand, get excited about, and participate in data monetization. |
| data monetization case studies: OECD Urban Studies Smart City Data Governance Challenges and the Way Forward OECD, 2023-10-13 Smart cities leverage technologies, in particular digital, to generate a vast amount of real-time data to inform policy- and decision-making for an efficient and effective public service delivery. Their success largely depends on the availability and effective use of data. |
| data monetization case studies: 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 case studies: Playing with the Data Kevin B. Simon, Rahul Guhathakurta, 2019-11-15 This paper results from comprehensive secondary research conducted over two months. We got in touch with analytics companies and professionals across various industries such as banking, finance, eCommerce, retail, pharma, healthcare, etc. As a result, we have used case studies to summarize the areas of significant data generation in India. |
| data monetization case studies: Computational Advertising Peng Liu, Chao Wang, 2020-05-12 This book introduces computational advertising, and Internet monetization. It provides a macroscopic understanding of how consumer products in the Internet era push user experience and monetization to the limit. Part One of the book focuses on the basic problems and background knowledge of online advertising. Part Two targets the product, operations, and sales staff, as well as high-level decision makers of the Internet products. It explains the market structure, trading models, and the main products in computational advertising. Part Three targets systems, algorithms, and architects, and focuses on the key technical challenges of different advertising products. Features · Introduces computational advertising and Internet monetization · Covers data processing, utilization, and trading · Uses business logic as the driving force to explain online advertising products and technology advancement · Explores the products and the technologies of computational advertising, to provide insights on the realization of personalization systems, constrained optimization, data monetization and trading, and other practical industry problems · Includes case studies and code snippets |
| data monetization case studies: Revealing the Secrets of Six-Figure Email Marketing Shu Chen Hou, Are you ready to take your business to the next level and unlock the true potential of email marketing? Revealing the Secrets of Six-Figure Email Marketing is your gateway to success in the digital age. This groundbreaking book is not just another run-of-the-mill guide; it's a treasure trove of insider knowledge that will propel your business to new heights. In these pages, you'll discover the closely guarded secrets of email marketing that have helped countless entrepreneurs and businesses achieve six-figure success. From crafting compelling email copy and mastering the art of segmentation to automating your campaigns for maximum ROI, this book leaves no stone unturned. With each turn of the page, you'll learn how to engage your audience, build meaningful connections, and drive revenue like never before. Uncover the power of personalization, A/B testing, and data-driven decision-making. Say goodbye to spam and hello to a strategic, results-driven approach. If you're serious about making money with email marketing and want to transform your email list into a revenue-generating powerhouse, this book is your roadmap. Take action now and get ready to reveal the secrets that separate the six-figure earners from the rest. Your email marketing success story begins here. |
| data monetization case studies: Data Economy in the Digital Age Samiksha Shukla, Kritica Bisht, Kapil Tiwari, Shahid Bashir, 2023-12-21 The book is a comprehensive guide that explores the concept of data economy and its implications in today's world. The book discusses the principles and components of the ecosystem, the challenges and opportunities presented by data monetization, and the potential risks related to data privacy. Real-life examples and case studies are included to understand the concepts better. The book is suitable for individuals in data science, economics, business, and technology and for students, academics, and policymakers. It is an excellent read for anyone interested in the data economy. |
| data monetization case studies: Business Analytics - Unleashing Data Driven Decision Making JUBI R, 2024-01-12 In today's dynamic and data-driven business landscape, the art and science of Business Analytics have emerged as critical tools for exploration, introspection, and informed decision-making. Business Analytics, the book at hand, delves into the practices and competencies essential for unraveling the complexities of business performance, facilitating purposeful, intuitive, and expedient decision-making processes. The essence of Business Analytics lies in the extensive exploration of business data, aiming to extract meaningful information usable by managers across various organizational levels. This book positions Business Analytics as a catalyst for fact-based decision-making, elevating accountability in the decision-making process. It defines Business Analytics as a methodical process that involves scrutinizing and summarizing data with the explicit purpose of uncovering hidden predictive insights. This book places a particular emphasis on the science and artistry of business analytics, with a special focus on financial analytics. It not only explores the practical aspects but also lays the theoretical foundations, providing a comprehensive context for various elements of business analytics within specific business situations. A distinctive feature of this book is its commitment to showcasing the implementation of analytics by illustrating how leading companies leverage this power to enhance their investments. Acknowledging that scientific knowledge alone may not suffice for sound decision-making, the book underscores the importance of combining scientific expertise with a deep understanding of the business context and the best available information. Addressing a notable gap in existing literature, this book goes beyond traditional academic texts that predominantly concentrate on quantitative methods. Instead, it extends its reach to cover analytics for non-quantitative managers. In doing so, the book aims to equip a broader audience with the knowledge and tools necessary to harness the benefits of Business Analytics in diverse business scenarios. As you embark on this journey through the pages of Business Analytics, you will gain insights into the transformative power of analytics in decision-making, and how it has become an indispensable asset for businesses navigating the intricacies of the contemporary corporate landscape. |
| data monetization case studies: 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 case studies: Cloud Security Jamuna S Murthy, Siddesh G, M,, Srinivasa K, G,, 2024-08-28 This comprehensive work surveys the challenges, the best practices in the industry, and the latest developments and technologies. It covers the fundamentals of cloud computing, including deployment models, service models, and the benefits of cloud computing, followed by critical aspects of cloud security, including risk management, threat analysis, data protection, identity and access management, and compliance. Cloud Security explores the latest security technologies, such as encryption, multi‐factor authentication, and intrusion detection and prevention systems, and their roles in securing the cloud environment. Features: Introduces a user-centric measure of cyber security and provides a comparative study on different methodologies used for cyber security Offers real-world case studies and hands-on exercises to give a practical understanding of cloud security Includes the legal and ethical issues, including the impact of international regulations on cloud security Covers fully automated run-time security and vulnerability management Discusses related concepts to provide context, such as Cyber Crime, Password Authentication, Smart Phone Security with examples This book is aimed at postgraduate students, professionals, and academic researchers working in the fields of computer science and cloud computing. |
| data monetization case studies: Agile Leadership for Industry 4.0 Tanusree Chakraborty, Tahir Mumtaz Awan, Ashok Natarajan, Muhammad Kamran, 2023-06-30 This new volume explores the new paradigm that is Industry 4.0—the application of information-intensive technologies that integrate software, hardware, and biology (cyber-physical systems) for effective manufacturing and related industries. This volume focuses specifically on leadership that can respond quickly and effectively to changing conditions in the Industry 4.0 environment. It looks at leadership skills needed during the COVID-19 pandemic, skills that can be applied to many other changing conditions as well. The authors consider the role of virtual leadership in an age of working from home; present case studies that provide valuable lessons for the agile leader; and examine the crucial role of human resources in providing agile leadership to an organization. The volume aggregates original theoretical, conceptual, and empirical research on challenges and opportunities in the context on Industry 4.0. |
| data monetization case studies: Data Governance Dimitrios Sargiotis, |
| data monetization case studies: Data Science For Dummies Lillian Pierson, 2021-09-15 Monetize your company’s data and data science expertise without spending a fortune on hiring independent strategy consultants to help What if there was one simple, clear process for ensuring that all your company’s data science projects achieve a high a return on investment? What if you could validate your ideas for future data science projects, and select the one idea that’s most prime for achieving profitability while also moving your company closer to its business vision? There is. Industry-acclaimed data science consultant, Lillian Pierson, shares her proprietary STAR Framework – A simple, proven process for leading profit-forming data science projects. Not sure what data science is yet? Don’t worry! Parts 1 and 2 of Data Science For Dummies will get all the bases covered for you. And if you’re already a data science expert? Then you really won’t want to miss the data science strategy and data monetization gems that are shared in Part 3 onward throughout this book. Data Science For Dummies demonstrates: The only process you’ll ever need to lead profitable data science projects Secret, reverse-engineered data monetization tactics that no one’s talking about The shocking truth about how simple natural language processing can be How to beat the crowd of data professionals by cultivating your own unique blend of data science expertise Whether you’re new to the data science field or already a decade in, you’re sure to learn something new and incredibly valuable from Data Science For Dummies. Discover how to generate massive business wins from your company’s data by picking up your copy today. |
| data monetization case studies: Improving Entrepreneurial Processes Through Advanced AI Tunio, Muhammad Nawaz, 2024-10-25 We stand at the precipice of a technological revolution; the entrepreneurial landscape is undergoing a metamorphosis. In the academic corridors of today, a pressing challenge emerges - the need to comprehend and dissect the profound transformations underway in the world of entrepreneurship. The fusion of emerging technologies with the age-old spirit of entrepreneurship is creating seismic shifts, ushering in new possibilities that beg exploration. Improving Entrepreneurial Processes Through Advanced AI emerges as a beacon of insight and innovation in this new entrepreneurial realm of possibility. This book embarks on a captivating journey, tailored to the discerning minds of PhD students, university educators, independent researchers, and scholars in related fields, guiding them through the intricacies of technology integration and the transformation of entrepreneurial processes. As technology continues to advance at an unprecedented pace, traditional paradigms are being upended, leaving researchers grappling with complex questions. The emergence of Artificial Intelligence (AI) as a game-changer in entrepreneurship introduces a host of intricate issues and uncertainties. Amidst this sea of change, the fundamental challenge lies in understanding how these advancing AI systems can address core entrepreneurial challenges and open new horizons of opportunity in the era of digital transformation. |
| data monetization case studies: 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 monetization case studies: AI, Blockchain, and Metaverse in Hospitality and Tourism Industry 4.0 Adel Ben Youssef, Pushan Kumar Dutta, Ruchi Doshi, Manohar Sajnani, 2024-10-01 The book offers a critical exploration of the integration of AI, blockchain, and metaverse technology in the hospitality and tourism industry to investigate the potential of these technologies in revolutionizing the industry. This comprehensive work studies, with practical examples, how cutting-edge technologies of Industry 4.0 are transforming luxury industry into a high-touch, hyper-personalized metaverse. It explains how these technologies can be used to improve customer experience and operational efficiency in areas such as guest interaction, supply chain management, payment processing, and virtual stores. The book also discusses the conditions that can promote sustainable development in the hospitality industry using Industry 4.0 technologies. Provides an innovative perspective by blending high-tech trends like AI, blockchain, and metaverse with traditional wellness practices Emphasis on ethical considerations and potential risks associated with the use of these technologies, providing a balanced perspective on their impact Includes case studies and practical examples on how businesses can use AI, blockchain, and the metaverse to improve customer experiences and operational efficiency Explores how the hospitality industry can embrace Industry 4.0 technologies to improve its operations, enhance customer experiences, and contribute to sustainable development Provides a roadmap for companies looking to implement these technologies, highlighting potential benefits and pitfalls of each approach This reference book is for scholars and professionals in computer science who are interested in studying the effect of AI, blockchain, and metaverse in hospitality and tourism industry. |
| data monetization case studies: The Art Of ChatGPT Monetization 1FREEDOM BOOKS, THE ART OF CHATGPT MONETIZATION. MAKE MONEY USING THE LATEST AI TOOL. STRATEGIES FOR FINANCIAL SUCCESS. In an era where technology rapidly evolves and reshapes our world, the power of artificial intelligence has emerged as a transformative force. Among the many breakthroughs, ChatGPT has risen to prominence as a groundbreaking language model, revolutionizing the way we interact and communicate. Its ability to generate human-like responses has captured the imagination of individuals and businesses alike. However, what sets ChatGPT apart is not just its remarkable conversational prowess but also its potential for generating income. Welcome to The Art of ChatGPT Monetization, a book designed to unlock the wealth of opportunities presented by this remarkable technology. The book will cover the following aspects: Introduction Understanding ChatGPT Setting the Foundation With ChatGPT Effective Communication With ChatGPT Leveraging ChatGPT for Profit Building Trust and Credibility Overcoming Challenges and Pitfalls Scaling and Growing Your ChatGPT Business Case Studies and Success Stories Future Trends and Innovations The book also include Sample prompts that you can use in ChatGPT right away. |
| data monetization case studies: Business 4.0 Steven Vollmer, 2023-05-23 Business 4.0: Navigating the Industrial Revolution is a comprehensive and insightful exploration of the dynamic intersection between business and technology in the modern era. Authored with an acute understanding of the ongoing fourth industrial revolution, this book serves as a guiding light for entrepreneurs, business leaders, and decision-makers seeking to comprehend and harness the transformative power of technological advancements. Within the pages of this book, readers are treated to a profound analysis of how industries are being reshaped by the integration of digital technologies. From artificial intelligence and the Internet of Things to blockchain and automation, the book meticulously examines the disruptive forces that are redefining traditional business landscapes. Drawing from real-world examples and case studies, the authors elucidate the strategies that successful companies employ to navigate the intricate challenges posed by this revolution. The book not only delves into the theoretical underpinnings of Business 4.0 but also offers practical insights and actionable recommendations. It addresses the imperative for businesses to evolve their operational models, embrace innovation, and cultivate agility in order to thrive amidst rapid change. With a forward-looking perspective, it discusses how companies can position themselves to leverage emerging technologies for sustainable growth and competitive advantage. Business 4.0: Navigating the Industrial Revolution stands as an indispensable resource, providing readers with the knowledge and tools to not only adapt to the ever-evolving business landscape but also to actively shape it. Whether you're an industry veteran or a newcomer, this book offers a roadmap for capitalizing on the opportunities presented by the convergence of business and technology in the modern age. |
| data monetization case studies: Data-Driven Business Intelligence Systems for Socio-Technical Organizations Keikhosrokiani, Pantea, 2024-04-09 The convergence of modern technology and social dynamics have shaped the very fabric of today’s organizations, making the role of Business Intelligence (BI) profoundly significant. Data-Driven Business Intelligence Systems for Socio-Technical Organizations delves into the heart of this transformative realm, offering an academic exploration of the tools, strategies, and methodologies that propel enterprises toward data-driven decision-making excellence. Socio-technical organizations, with their intricate interplay between human and technological components, require a unique approach to BI. This book embarks on a comprehensive journey, revealing how BI tools empower these entities to decipher the complexities of their data landscape. From user behavior to social interactions, technological systems to environmental factors, this work sheds light on the multifaceted sources of information that inform organizational strategies. Decision-makers within socio-technical organizations leverage BI insights to discern patterns, spot trends, and uncover correlations that influence operations and the intricate social dynamics within their entities. Research covering real-time monitoring and predictive analytics equips these organizations to respond swiftly to demands and anticipate future trends, harnessing the full potential of data. The book delves into their design, development, and architectural nuances, illuminating these concepts through case studies. This book is ideal for business executives, entrepreneurs, data analysts, marketers, government officials, educators, and researchers. |
| data monetization case studies: 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 case studies: Ecosystems Without Borders 2024 Ruslan Polyakov, |
| data monetization case studies: 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 case studies: Radhakishan Rawal’s Analysis of the Finance Act, 2020 and More Radhakishan Rawal, 2020-05-15 Key features · Indian approach to tax digital economy · TDS on Platform sellers (section 194-O) · Equalisation Levy · Amendment to tax residency provisions · Significant Economic Presence (Explanation 2A) · Taxation of Advertisement and data (Explanation 3A) · APA/SHR framework for attribution of profits · Amendment to section 90 · Synthesised Text of tax treaties · Triangular cases |
| data monetization case studies: The role of data for digital markets contestability Jan Krämer, Daniel Schnurr, Sally Broughton Micova, 2020-09-09 This report analyses the processes that turn data into economic value for online search, e-commerce and media platforms. It concludes that forcing data sharing through policy intervention would not prevent dominant incumbents to continue to benefit economically from greater access to data over new entrants. Instead, policy makers should focus on enabling niche entry, niche growth and a level playing field for competitors in new and emerging markets. Data play a central role in the business models that shape competition and innovation in digital markets. As dominant providers of online services collect ever more user data they generate data-driven network effects. They can then improve their services faster, and venture faster into related markets than competitors with less data, thereby raising entry barriers for innovative start-ups. The authors, Sally Broughton Micova (CERRE & University of East Anglia), Jan Krämer (CERRE & University of Passau) and Daniel Schnurr (University of Passau), have analysed processes that transform data into economic value for online search, e-commerce and media platforms. They find that in each case, more data, especially on user behaviour, gradually improves the quality of the service, thereby generating high economic benefits for the firm. The authors find that data-driven network effects can nevertheless be a source of efficiency which can ultimately benefit consumers. Even if some data is shared through policy intervention, dominant incumbents will continue to benefit economically and competitively from greater access to data over new entrants. “We conclude that it is neither realistic nor desirable to try to break data-driven network effects through policy intervention. Instead, we would strongly encourage policy makers to focus on enabling niche entry and niche growth. To do so, they should facilitate the sharing of behavioural user data gathered by the dominant firm with other firms.” The authors provide policy recommendations for data access remedies to safeguard competition, innovation and the openness of the digital ecosystem: 1. Remedies that achieve a more level playing field in the digital economy by breaking the data-driven network effects of data-rich incumbents should be entertained as a last resort and only under specific conditions. 2. Policy makers should foster data sharing on two levels to strike a balance between consumers’ privacy, competition and innovation. They should require the sharing of aggregated and anonymised raw user data in bulk, after a careful review and on a case-by-case basis. They should also facilitate the sharing of detailed raw user data through improved data portability, based on individual users’ consent. Bulk sharing of raw user data should be limited to data that was collected as a by-product of the incumbent’s dominant user-facing service, such as search logs, in order to maintain incentives for innovation and data collection. The main challenge will be to balance privacy concerns with maintaining enough detailed data to ensure it is of value to third-parties. 3. Dominant firms should also be obliged to allow consumers to port their raw data to another provider continuously and in real time. Privacy concerns can then be overcome and the shared user profiles can be more detailed than under bulk sharing. In concert with bulk-sharing, data portability can be a valuable source for attaining both detailed and representative data sets. |
| data monetization case studies: Blockchain and Supply Chain Logistics Nachiappan Subramanian, Atanu Chaudhuri, Yaşanur Kayıkcı, 2020-05-27 This book introduces blockchain technology applications in supply chains. Blockchain is a relatively new tool, nevertheless, there have been considerable advances over the last five years, and blockchain is now poised to revolutionize the conventional supply chains with the offering of accountability and quality to the wider complex supply networks. Based on literature reviews and original research, this book serves as an essential introduction to blockchain and its applications in supply chain. The unique features of the book are empirical studies to demonstrate the application of blockchain technology in food, healthcare, manufacturing, transportation and retail sectors. Each chapter includes research framework and open research questions. Simple narration of concept and detailed insights from primary research information. Use case narrative will provoke the readers to demystify the myths in application of concepts in the supply chain . Overall, the book demystifies blockchain technology, reviews evolution and outlines its future applications by blending contents to meet the expectations of both academic and practice community. |
| data monetization case studies: Empirical Cloud Security, Second Edition Aditya K. Sood, 2023-08-21 The book discusses the security and privacy issues detected during penetration testing, security assessments, configuration reviews, malware analysis, and independent research of the cloud infrastructure and Software-as-a-Service (SaaS) applications. The book highlights hands-on technical approaches on how to detect the security issues based on the intelligence gathered from the real world case studies and also discusses the recommendations to fix the security issues effectively. This book is not about general theoretical discussion rather emphasis is laid on the cloud security concepts and how to assess and fix them practically. |
| data monetization case studies: Artificial Intelligence Valuation Roberto Moro-Visconti, |
| data monetization case studies: Marketing Innovation Strategies and Consumer Behavior Barbosa, Belem, 2024-04-09 In today's fast-paced global marketplace, businesses grapple with the relentless demand for innovation in marketing strategies. The landscape is ever-evolving, driven by digital advancements and shifting consumer behaviors, leaving companies scrambling to stay relevant. Academic scholars, educators, and managers face a formidable challenge: deciphering the complex web of trends and technologies shaping modern marketing while equipping themselves with actionable strategies to thrive in this dynamic environment. By delving into topics ranging from digital marketing and sustainability initiatives to data analytics and emerging technologies, Marketing Innovation Strategies and Consumer Behavior equips readers with the tools they need to survive and thrive in the modern marketplace. Its emphasis on real-world case studies ensures practical relevance, while its theoretical underpinnings offer a solid foundation for academic inquiry. This book is an indispensable resource for scholars seeking to deepen their understanding of marketing innovation, providing actionable insights and strategic frameworks to navigate the complexities of the digital age with confidence and agility. |
| data monetization case studies: 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 case studies: 13th International Symposium on Process Systems Engineering – PSE 2018, July 1-5 2018 Mario R. Eden, Gavin Towler, Maria Ierapetritou, 2018-07-19 Process Systems Engineering brings together the international community of researchers and engineers interested in computing-based methods in process engineering. This conference highlights the contributions of the PSE community towards the sustainability of modern society and is based on the 13th International Symposium on Process Systems Engineering PSE 2018 event held San Diego, CA, July 1-5 2018. The book contains contributions from academia and industry, establishing the core products of PSE, defining the new and changing scope of our results, and future challenges. Plenary and keynote lectures discuss real-world challenges (globalization, energy, environment and health) and contribute to discussions on the widening scope of PSE versus the consolidation of the core topics of PSE. - Highlights how the Process Systems Engineering community contributes to the sustainability of modern society - Establishes the core products of Process Systems Engineering - Defines the future challenges of Process Systems Engineering |
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 …
