| data broker business model: Data Brokers Federal Trade Commission, 2015-03-11 In this report, the Federal Trade Commission discusses the results of an in-depth study of nine data brokers. These data brokers collect personal information about consumers from a wide range of sources and provide it for a variety of purposes, including verifying an individual's identity, marketing products, and detecting fraud. Because these companies generally never interact with consumers, consumers are often unaware of their existence, much less the variety of practices in which they engage. By reporting on the data collection and use practices of these nine data brokers, which represent a cross-section of the industry, this report attempts to shed light on the data broker industry and its practices. For decades, policymakers have expressed concerns about the lack of transparency of companies that buy and sell consumer data without direct consumer interaction. Indeed, the lack of transparency among companies providing consumer data for credit and other eligibility determinations led to the adoption of the Fair Credit Reporting Act (FCRA), a statute the Commission has enforced since its enactment in 1970. The FCRA covers the provision of consumer data by consumer reporting agencies where it is used or expected to be used for decisions about credit, employment, insurance, housing, and similar eligibility determinations; it generally does not cover the sale of consumer data for marketing and other purposes. While the Commission has vigorously enforced the FCRA, 1 since the late 1990s it has also been active in examining the practices of data brokers that fall outside the FCRA. |
| data broker business model: Markets for Cybercrime Tools and Stolen Data Lillian Ablon, Martin C. Libicki, Andrea A. Golay, 2014-03-25 Criminal activities in cyberspace are increasingly facilitated by burgeoning black markets. This report characterizes these markets and how they have grown into their current state to provide insight into how their existence can harm the information security environment. Understanding these markets lays the groundwork for exploring options to minimize their potentially harmful influence. |
| data broker business model: Your Post Has Been Removed Frederik Stjernfelt, Anne Mette Lauritzen, 2019-01-01 This open access monograph argues established democratic norms for freedom of expression should be implemented on the internet. Moderating policies of tech companies as Facebook, Twitter and Google have resulted in posts being removed on an industrial scale. While this moderation is often encouraged by governments - on the pretext that terrorism, bullying, pornography, hate speech and fake news will slowly disappear from the internet - it enables tech companies to censure our society. It is the social media companies who define what is blacklisted in their community standards. And given the dominance of social media in our information society, we run the risk of outsourcing the definition of our principles for discussion in the public domain to private companies. Instead of leaving it to social media companies only to take action, the authors argue democratic institutions should take an active role in moderating criminal content on the internet. To make this possible, tech companies should be analyzed whether they are approaching a monopoly. Antitrust legislation should be applied to bring those monopolies within democratic governmental oversight. Despite being in different stages in their lives, Anne Mette is in the startup phase of her research career, while Frederik is one of the most prolific philosophers in Denmark, the authors found each other in their concern about Free Speech on the internet. The book was originally published in Danish as Dit opslag er blevet fjernet - techgiganter & ytringsfrihed. Praise for 'Your Post has been Removed' From my perspective both as a politician and as private book collector, this is the most important non-fiction book of the 21st Century. It should be disseminated to all European citizens. The learnings of this book and the use we make of them today are crucial for every man, woman and child on earth. Now and in the future. Jens Rohde, member of the European Parliament for the Alliance of Liberals and Democrats for Europe This timely book compellingly presents an impressive array of information and analysis about the urgent threats the tech giants pose to the robust freedom of speech and access to information that are essential for individual liberty and democratic self-government. It constructively explores potential strategies for restoring individual control over information flows to and about us. Policymakers worldwide should take heed! Nadine Strossen, Professor, New York Law School. Author, HATE: Why We Should Resist It with Free Speech, Not Censorship. |
| data broker business model: The Elements of Big Data Value Edward Curry, Andreas Metzger, Sonja Zillner, Jean-Christophe Pazzaglia, Ana García Robles, 2021-08-01 This open access book presents the foundations of the Big Data research and innovation ecosystem and the associated enablers that facilitate delivering value from data for business and society. It provides insights into the key elements for research and innovation, technical architectures, business models, skills, and best practices to support the creation of data-driven solutions and organizations. The book is a compilation of selected high-quality chapters covering best practices, technologies, experiences, and practical recommendations on research and innovation for big data. The contributions are grouped into four parts: · Part I: Ecosystem Elements of Big Data Value focuses on establishing the big data value ecosystem using a holistic approach to make it attractive and valuable to all stakeholders. · Part II: Research and Innovation Elements of Big Data Value details the key technical and capability challenges to be addressed for delivering big data value. · Part III: Business, Policy, and Societal Elements of Big Data Value investigates the need to make more efficient use of big data and understanding that data is an asset that has significant potential for the economy and society. · Part IV: Emerging Elements of Big Data Value explores the critical elements to maximizing the future potential of big data value. Overall, readers are provided with insights which can support them in creating data-driven solutions, organizations, and productive data ecosystems. The material represents the results of a collective effort undertaken by the European data community as part of the Big Data Value Public-Private Partnership (PPP) between the European Commission and the Big Data Value Association (BDVA) to boost data-driven digital transformation. |
| data broker business model: Proceedings of the Third International Conference on Innovations in Computing Research (ICR’24) Kevin Daimi, |
| data broker business model: Digital Business Models Bernd W. Wirtz, 2019-04-02 The spread of the Internet into all areas of business activities has put a particular focus on business models. The digitalization of business processes is the driver of changes in company strategies and management practices alike. This textbook provides a structured and conceptual approach, allowing students and other readers to understand the commonalities and specifics of the respective business models. The book begins with an overview of the business model concept in general by presenting the development of business models, analyzing definitions of business models and discussing the significance of the success of business model management. In turn, Chapter 2 offers insights into and explanations of the business model concept and provides the underlying approaches and ideas behind business models. Building on these foundations, Chapter 3 outlines the fundamental aspects of the digital economy. In the following chapters the book examines various core models in the business to consumer (B2C) context. The chapters follow a 4-C approach that divides the digital B2C businesses into models focusing on content, commerce, context and connection. Each chapter describes one of the four models and provides information on the respective business model types, the value chain, core assets and competencies as well as a case study. Based on the example of Google, Chapter 8 merges these approaches and describes the development of a hybrid digital business model. Chapter 9 is dedicated to business-to-business (B2B) digital business models. It shows how companies focus on business solutions such as online provision of sourcing, sales, supportive collaboration and broker services. Chapter 10 shares insight into the innovation aspect of digital business models, presenting structures and processes of digital business model innovation. The book is rounded out by a comprehensive case study on Google/Alphabet that combines all aspects of digital business models. Conceived as a textbook for students in advanced undergraduate courses, the book will also be useful for professionals and practitioners involved in business model innovation, and applied researchers. |
| data broker business model: What Information Do Data Brokers Have on Consumers, and how Do They Use It? United States. Congress. Senate. Committee on Commerce, Science, and Transportation, 2015 |
| data broker business model: Research Anthology on Privatizing and Securing Data Management Association, Information Resources, 2021-04-23 With the immense amount of data that is now available online, security concerns have been an issue from the start, and have grown as new technologies are increasingly integrated in data collection, storage, and transmission. Online cyber threats, cyber terrorism, hacking, and other cybercrimes have begun to take advantage of this information that can be easily accessed if not properly handled. New privacy and security measures have been developed to address this cause for concern and have become an essential area of research within the past few years and into the foreseeable future. The ways in which data is secured and privatized should be discussed in terms of the technologies being used, the methods and models for security that have been developed, and the ways in which risks can be detected, analyzed, and mitigated. The Research Anthology on Privatizing and Securing Data reveals the latest tools and technologies for privatizing and securing data across different technologies and industries. It takes a deeper dive into both risk detection and mitigation, including an analysis of cybercrimes and cyber threats, along with a sharper focus on the technologies and methods being actively implemented and utilized to secure data online. Highlighted topics include information governance and privacy, cybersecurity, data protection, challenges in big data, security threats, and more. This book is essential for data analysts, cybersecurity professionals, data scientists, security analysts, IT specialists, practitioners, researchers, academicians, and students interested in the latest trends and technologies for privatizing and securing data. |
| data broker business model: Radical Business Model Transformation Carsten Linz, Günter Müller-Stewens, Alexander Zimmermann, 2020-10-03 How can organizations complete a major business model transformation and how can leaders successfully guide their business through this radical shift? As markets are constantly transformed by new technologies and disruptor competitors, once successful business models designed to function in a different time now struggle as the mainstream changes. This book is the guide for organizations looking to turn downward trends into upward momentum and gain an edge on the competition. Now in its second edition, this book offers practical advice on how to understand the fit of an existing business model and reconstruct it with a forward-thinking approach. New illustrative case studies of global organizations which have boldly transformed offer examples for change, including SAP, Netflix and Daimler. Business transformation is presented as a leadership challenge and methods to realize and implement opportunities for innovation company-wide are discussed in detail. Radical Business Model Transformation is essential reading for business leaders, transformation experts and MBA students interested in ensuring that their business model is future-proof and can withstand the new proliferation of innovations set to transform the business landscape. |
| data broker business model: Systems, Software and Services Process Improvement Jakub Stolfa, Svatopluk Stolfa, Rory V. O'Connor, Richard Messnarz, 2017-08-23 This volume constitutes the refereed proceedings of the 24th EuroSPI conference, held in Ostrava, Czech Republic, in September 2017.The 56 revised full papers presented were carefully reviewed and selected from 97 submissions. They are organized in topical sections on SPI and VSEs, SPI and process models, SPI and safety, SPI and project management, SPI and implementation, SPI issues, SPI and automotive, selected key notes and workshop papers, GamifySPI, SPI in Industry 4.0, best practices in implementing traceability, good and bad practices in improvement, safety and security, experiences with agile and lean, standards and assessment models, team skills and diversity strategies. |
| data broker business model: Taxation of Big Data Xavier Oberson, Alara Efsun Yazıcıoğlu, 2023-12-02 This book has the merit of being the first book analysing different aspects of data taxation from a wide perspective encompassing not only tax law but also other significant issues related to data, such as data protection and economic inefficiencies. The main aim is to provide data-specific solutions to data-driven problems. In the midst of a number of critical issues and a great deal of uncertainty currently reigning in the field, the authors attempt to put forward easy-to-implement and efficient proposals on the basis of an interdisciplinary analysis. The core idea of this book consists of segregating the utilisation of data into four different yet interdependent steps and constructing the tax law analysis on top of these four corner stones. Step one, occurring in the generation and collection phases of the data’s life cycle, comprises ‘the digital barter’ and other collection of data. Step two, taking place during the processing and analytics phases of the data’s life cycle, consists of microwork. Step three, situated in the storage, processing, analytics and use phases of the data’s life cycle, encompasses aggregation and internal use of data. Step four, materialising during the distribution and use phases of the data’s life cycle, covers sale of data, transfer of data and granting the right to use a database. The main issues occurring in each of the four steps are analysed separately, and yet interdependently, with an emphasis on international tax law. The book also comprises a VAT analysis; suggestion of a new type of tax, namely «data collection tax»; and a brief opinion on a potential future «robo-data tax». The subjects explored in this book are of interest for researchers, lawyers as well as tax administrations. Albeit being an academic publication, the developments made in this contribution are also relevant for the general public. After all, data, the youngest intangible, constitute the raw material of the fourth industrial revolution; and their use and taxation affect each and every citizen! |
| data broker business model: Social Chemistry Marissa King, 2021-01-05 One of 2021's Most Highly Anticipated New Books—Newsweek One of The 20 Leadership Books to Read in 2020—Adam Grant One of The Best New Wellness Books Hitting Shelves in January 2021—Shape.com A Top Business Book for January 2021—Financial Times A Next Big Idea Club Nominee Social Chemistry will utterly transform the way you think about “networking.” Understanding the contours of your social network can dramatically enhance personal relationships, work life, and even your global impact. Are you an Expansionist, a Broker, or a Convener? The answer matters more than you think. . . . Yale professor Marissa King shows how anyone can build more meaningful and productive relationships based on insights from neuroscience, psychology, and network analytics. Conventional wisdom says it's the size of your network that matters, but social science research has proven there is more to it. King explains that the quality and structure of our relationships has the greatest impact on our personal and professional lives. As she shows, there are three basic types of networks, so readers can see the role they are already playing: Expansionist, Broker, or Convener. This network decoder enables readers to own their network style and modify it for better alignment with their life plans and values. High-quality connections in your social network strongly predict cognitive functioning, emotional resilience, and satisfaction at work. A well-structured network is likely to boost the quality of your ideas, as well as your pay. Beyond the office, social connections are the lifeblood of our health and happiness. The compiled results from dozens of previous studies found that our social relationships have an effect on our likelihood of dying prematurely—equivalent to obesity or smoking. Rich stories of Expansionists like Vernon Jordan, Brokers like Yo-Yo Ma, and Conveners like Anna Wintour, as well as personal experiences from King's own world of connections, inform this warm, engaging, revelatory investigation into some of the most consequential decisions we can make about the trajectory of our lives. |
| data broker business model: The Six-Figure Business Broker William M Thomas, 2018-11 With a sales closing ratio of 83 percent, compared to a 22 percent industry average, attorney and business broker William Bill Thomas shares the proven sales model he developed and teaches to the brokers in his own company. |
| data broker business model: Building Analytics Teams John K. Thompson, Douglas B. Laney, 2020-06-30 Master the skills necessary to hire and manage a team of highly skilled individuals to design, build, and implement applications and systems based on advanced analytics and AI Key FeaturesLearn to create an operationally effective advanced analytics team in a corporate environmentSelect and undertake projects that have a high probability of success and deliver the improved top and bottom-line resultsUnderstand how to create relationships with executives, senior managers, peers, and subject matter experts that lead to team collaboration, increased funding, and long-term success for you and your teamBook Description In Building Analytics Teams, John K. Thompson, with his 30+ years of experience and expertise, illustrates the fundamental concepts of building and managing a high-performance analytics team, including what to do, who to hire, projects to undertake, and what to avoid in the journey of building an analytically sound team. The core processes in creating an effective analytics team and the importance of the business decision-making life cycle are explored to help achieve initial and sustainable success. The book demonstrates the various traits of a successful and high-performing analytics team and then delineates the path to achieve this with insights on the mindset, advanced analytics models, and predictions based on data analytics. It also emphasizes the significance of the macro and micro processes required to evolve in response to rapidly changing business needs. The book dives into the methods and practices of managing, developing, and leading an analytics team. Once you've brought the team up to speed, the book explains how to govern executive expectations and select winning projects. By the end of this book, you will have acquired the knowledge to create an effective business analytics team and develop a production environment that delivers ongoing operational improvements for your organization. What you will learnAvoid organizational and technological pitfalls of moving from a defined project to a production environmentEnable team members to focus on higher-value work and tasksBuild Advanced Analytics and Artificial Intelligence (AA&AI) functions in an organizationOutsource certain projects to competent and capable third partiesSupport the operational areas that intend to invest in business intelligence, descriptive statistics, and small-scale predictive analyticsAnalyze the operational area, the processes, the data, and the organizational resistanceWho this book is for This book is for senior executives, senior and junior managers, and those who are working as part of a team that is accountable for designing, building, delivering and ensuring business success through advanced analytics and artificial intelligence systems and applications. At least 5 to 10 years of experience in driving your organization to a higher level of efficiency will be helpful. |
| data broker business model: Spotify Teardown Maria Eriksson, Rasmus Fleischer, Anna Johansson, Pelle Snickars, Patrick Vonderau, 2019-02-19 An innovative investigation of the inner workings of Spotify that traces the transformation of audio files into streamed experience. Spotify provides a streaming service that has been welcomed as disrupting the world of music. Yet such disruption always comes at a price. Spotify Teardown contests the tired claim that digital culture thrives on disruption. Borrowing the notion of “teardown” from reverse-engineering processes, in this book a team of five researchers have playfully disassembled Spotify's product and the way it is commonly understood. Spotify has been hailed as the solution to illicit downloading, but it began as a partly illicit enterprise that grew out of the Swedish file-sharing community. Spotify was originally praised as an innovative digital platform but increasingly resembles a media company in need of regulation, raising questions about the ways in which such cultural content as songs, books, and films are now typically made available online. Spotify Teardown combines interviews, participant observations, and other analyses of Spotify's “front end” with experimental, covert investigations of its “back end.” The authors engaged in a series of interventions, which include establishing a record label for research purposes, intercepting network traffic with packet sniffers, and web-scraping corporate materials. The authors' innovative digital methods earned them a stern letter from Spotify accusing them of violating its terms of use; the company later threatened their research funding. Thus, the book itself became an intervention into the ethics and legal frameworks of corporate behavior. |
| data broker business model: What's Your Digital Business Model? Peter Weill, Stephanie Woerner, 2018-04-17 Digital transformation is not about technology--it's about change. In the rapidly changing digital economy, you can't succeed by merely tweaking management practices that led to past success. And yet, while many leaders and managers recognize the threat from digital--and the potential opportunity--they lack a common language and compelling framework to help them assess it and guide them in responding. They don't know how to think about their digital business model. In this concise, practical book, MIT digital research leaders Peter Weill and Stephanie Woerner provide a powerful yet straightforward framework that has been field-tested globally with dozens of senior management teams. Based on years of study at the MIT Center for Information Systems Research (CISR), the authors find that digitization is moving companies' business models on two dimensions: from value chains to digital ecosystems, and from a fuzzy understanding of the needs of end customers to a sharper one. Looking at these dimensions in combination results in four distinct business models, each with different capabilities. The book then sets out six driving questions, in separate chapters, that help managers and executives clarify where they are currently in an increasingly digital business landscape and highlight what's needed to move toward a higher-value digital business model. Filled with straightforward self-assessments, motivating examples, and sharp financial analyses of where profits are made, this smart book will help you tackle the threats, leverage the opportunities, and create winning digital strategies. |
| data broker business model: Data Breaches Sherri Davidoff, 2019-10-08 Protect Your Organization Against Massive Data Breaches and Their Consequences Data breaches can be catastrophic, but they remain mysterious because victims don’t want to talk about them. In Data Breaches, world-renowned cybersecurity expert Sherri Davidoff shines a light on these events, offering practical guidance for reducing risk and mitigating consequences. Reflecting extensive personal experience and lessons from the world’s most damaging breaches, Davidoff identifies proven tactics for reducing damage caused by breaches and avoiding common mistakes that cause them to spiral out of control. You’ll learn how to manage data breaches as the true crises they are; minimize reputational damage and legal exposure; address unique challenges associated with health and payment card data; respond to hacktivism, ransomware, and cyber extortion; and prepare for the emerging battlefront of cloud-based breaches. Understand what you need to know about data breaches, the dark web, and markets for stolen data Limit damage by going beyond conventional incident response Navigate high-risk payment card breaches in the context of PCI DSS Assess and mitigate data breach risks associated with vendors and third-party suppliers Manage compliance requirements associated with healthcare and HIPAA Quickly respond to ransomware and data exposure cases Make better decisions about cyber insurance and maximize the value of your policy Reduce cloud risks and properly prepare for cloud-based data breaches Data Breaches is indispensable for everyone involved in breach avoidance or response: executives, managers, IT staff, consultants, investigators, students, and more. Read it before a breach happens! Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details. |
| data broker business model: Research Anthology on Architectures, Frameworks, and Integration Strategies for Distributed and Cloud Computing Management Association, Information Resources, 2021-01-25 Distributed systems intertwine with our everyday lives. The benefits and current shortcomings of the underpinning technologies are experienced by a wide range of people and their smart devices. With the rise of large-scale IoT and similar distributed systems, cloud bursting technologies, and partial outsourcing solutions, private entities are encouraged to increase their efficiency and offer unparalleled availability and reliability to their users. The Research Anthology on Architectures, Frameworks, and Integration Strategies for Distributed and Cloud Computing is a vital reference source that provides valuable insight into current and emergent research occurring within the field of distributed computing. It also presents architectures and service frameworks to achieve highly integrated distributed systems and solutions to integration and efficient management challenges faced by current and future distributed systems. Highlighting a range of topics such as data sharing, wireless sensor networks, and scalability, this multi-volume book is ideally designed for system administrators, integrators, designers, developers, researchers, academicians, and students. |
| data broker business model: The Dark Places of Business Enterprise Pietro Frigato, Francisco J. Santos-Arteaga, 2019-04-05 This book considers Thorstein Veblen’s central preoccupation with the dark places of business enterprise, an integral part of the old institutional economics. Combining the contributions made by Karl William Kapp and Philip Mirowski, it proposes the systematization of an adjourned institutional theory of social costs of business enterprise useful for the analysis of contemporary crises. The Dark Places of Business Enterprise explores the research potential of the theory of social costs for the analysis of actual business behavior in the current globalized privatization regime. It begins with a detailed outline of Veblen’s critique of business enterprise and market competition before illustrating the methodical enrichment of this approach through Kapp’s work. Finally, it concludes by proposing the integration of the Veblenian-Kappian approach with Mirowski’s theory of markets and business doubt manufacture. The resulting theory of social costs will shed light on the ubiquitous business control of society under the now dominant computer-based technological infrastructure. This interdisciplinary foundation of the theory of social costs, encompassing knowledge from computer science and engineering to natural sciences, provides the tools required to analyze this great transformation. |
| data broker business model: Regulating Access and Transfer of Data Björn Lundqvist, 2023-04-13 Analyzes the regulation of data access and transfer to understand how internet users can obtain the data they generate. |
| data broker business model: Business Trends in Practice Bernard Marr, 2021-11-15 WINNER OF THE BUSINESS BOOK OF THE YEAR AWARD 2022! Stay one step ahead of the competition with this expert review of the most impactful and disruptive business trends coming down the pike Far from slowing down, change and transformation in business seems to come only at a more and more furious rate. The last ten years alone have seen the introduction of groundbreaking new trends that pose new opportunities and challenges for leaders in all industries. In Business Trends in Practice: The 25+ Trends That Are Redefining Organizations, best-selling business author and strategist Bernard Marr breaks down the social and technological forces underlying these rapidly advancing changes and the impact of those changes on key industries. Critical consumer trends just emerging today—or poised to emerge tomorrow—are discussed, as are strategies for rethinking your organisation’s product and service delivery. The book also explores: Crucial business operations trends that are changing the way companies conduct themselves in the 21st century The practical insights and takeaways you can glean from technological and social innovation when you cut through the hype Disruptive new technologies, including AI, robotic and business process automation, remote work, as well as social and environmental sustainability trends Business Trends in Practice: The 25+ Trends That Are Redefining Organizations is a must-read resource for executives, business leaders and managers, and business development and innovation leads trying to get – and stay – on top of changes and disruptions that are right around the corner. |
| data broker business model: Public Access to Market Data United States. Congress. House. Committee on Financial Services. Subcommittee on Capital Markets, Insurance, and Government Sponsored Enterprises, 2001 |
| data broker business model: Brokerage and Closure Ronald S. Burt, 2007-09-06 Social Capital, the advantage created by location in social structure, is a critical element in business strategy. Who has it, how it works, and how to develop it have become key questions as markets, organizations, and careers become more and more dependent on informal, discretionary relationships. The formal organization deals with accountability; Everything else flows through the informal: advice, coordination, cooperation friendship, gossip, knowledge, trust. Informal relations have always been with us, they have always mattered. What is new is the range of activities in which they now matter, and the emerging clarity we have about how they create advantage for certain people at the expense of others. This is done by brokerage and closure. Ronald S. Burt builds upon his celebrated work in this area to explore the nature of brokerage and closure. Brokerage is the activity of people who live at the intersection of social worlds, who have a vision advantage of seeing and developing good ideas, an advantage which can be seen in their compensation, recognition, and the responsibility they're entrusted with in comparison to their peers. Closure is the tightening of coordination in a closed network of people, and people who do this do well as a complement to brokers because of the trust and alignment they create. Brokerage and Closure explores how these elements work together to define social capital, showing how in the business world reputation has come to replace authority, pursued opportunity assignment, and reward has come to be associated with achieving competitive advantage in a social order of continuous disequilibrium. |
| data broker business model: Ninja Selling Larry Kendall, 2017-01-03 2018 Axiom Business Book Award Winner, Gold Medal Stop Selling! Start Solving! In Ninja Selling, author Larry Kendall transforms the way readers think about selling. He points out the problems with traditional selling methods and instead offers a science-based selling system that gives predictable results regardless of personality type. Ninja Selling teaches readers how to shift their approach from chasing clients to attracting clients. Readers will learn how to stop selling and start solving by asking the right questions and listening to their clients. Ninja Selling is an invaluable step-by-step guide that shows readers how to be more effective in their sales careers and increase their income-per-hour, so that they can lead full lives. Ninja Selling is both a sales platform and a path to personal mastery and life purpose. Followers of the Ninja Selling system say it not only improved their business and their client relationships; it also improved the quality of their lives. |
| data broker business model: Handbook of Research on Cyber Crime and Information Privacy Cruz-Cunha, Maria Manuela, Mateus-Coelho, Nuno Ricardo, 2020-08-21 In recent years, industries have transitioned into the digital realm, as companies and organizations are adopting certain forms of technology to assist in information storage and efficient methods of production. This dependence has significantly increased the risk of cyber crime and breaches in data security. Fortunately, research in the area of cyber security and information protection is flourishing; however, it is the responsibility of industry professionals to keep pace with the current trends within this field. The Handbook of Research on Cyber Crime and Information Privacy is a collection of innovative research on the modern methods of crime and misconduct within cyber space. It presents novel solutions to securing and preserving digital information through practical examples and case studies. While highlighting topics including virus detection, surveillance technology, and social networks, this book is ideally designed for cybersecurity professionals, researchers, developers, practitioners, programmers, computer scientists, academicians, security analysts, educators, and students seeking up-to-date research on advanced approaches and developments in cyber security and information protection. |
| data broker business model: Personal Data as an Economic Asset Philipp Jaud , 2024-08-09 |
| data broker business model: Freight Broker Business Startup Randy Russell, 2024-01-27 Embark on a transformative journey into the dynamic world of freight brokerage with Freight Broker Business Startup: A Simple Guide to Starting, Growing, and Running Your Own Freight Brokerage Company. This comprehensive manual is your essential companion, meticulously crafted to empower aspiring entrepreneurs with the knowledge and strategies needed to establish, expand, and successfully manage a thriving freight brokerage business. Navigating through the intricate landscape of logistics and transportation, this guide provides a step-by-step roadmap for launching your freight brokerage venture. From initial setup to navigating regulatory requirements and fostering growth, no aspect is left unexplored. Inside the pages of Freight Broker Business Startup, you'll discover: - Strategic Business Launch: A detailed guide on setting up your freight brokerage company, from creating a business plan to establishing essential industry connections. - Navigating Regulatory Landscape: Clear explanations of regulatory requirements, licensing processes, and compliance measures, ensuring you confidently steer through the complex legalities. - Effective Growth Strategies: Insider insights on growing your business, expanding your client base, and fostering lasting partnerships in the competitive freight brokerage industry. - Operational Excellence: Tips for efficient day-to-day operations, including load management, negotiation techniques, and leveraging technology to enhance your business processes. - Risk Mitigation: Proven strategies for mitigating risks and overcoming challenges commonly faced by freight brokers, ensuring a resilient and sustainable business. Whether you're a novice entrepreneur entering the logistics realm or a seasoned professional looking to establish your own freight brokerage, Freight Broker Business Startup is your ultimate guide to success. The user-friendly format simplifies complex concepts, catering to both beginners and experienced professionals. Empower yourself with the knowledge and skills required to navigate the freight brokerage industry successfully. Your journey toward entrepreneurial success in the world of logistics begins here. Pick up Freight Broker Business Startup and set yourself on the path to building and running a thriving freight brokerage company. |
| data broker business model: FinTech Jelena Madir, 2024-05-02 This fully revised and updated third edition provides a practical examination of legal and regulatory issues in FinTech, a sector whose rapid rise in recent years has produced opportunities for innovation but has also raised new challenges. Featuring insights from over 40 experts from 10 countries, this book analyses the statutory aspects of technology-enabled developments in banking and considers the impact these changes will have on the legal profession. |
| data broker business model: Revenge of the Nerds Jeyo Sargunam, 2023-03-24 The world has transformed in the last two decades. There is no denying that there has been a slow, steady, and overtly subtle takeover of every aspect of human experience. The technological force that is powering this transformation is profoundly undemocratic & can be deemed exploitative. Tools like WhatsApp, Facebook, Google, YouTube, etc. are now ubiquitous. These internet-powered tools have unprecedented global scale and many don’t understand the business & revenue models of these monitoring & behavior manipulating tools Revenge of the Nerds is an attempt to unravel the forces behind this societal transformation. It tells the story of how Nerds used technology to capture the world and control it using technology. The book explains the vulnerabilities we have in our human minds and how BigTech companies exploit these vulnerabilities to reshape reality in the way they deem fit. Most of the fresh cracks we find in society can be attributed to the faulty interface between technology and human interactions. Human Psychology has been weaponized using Technology to polarize us politically, make us more materialistic, and encourage a hedonist lifestyle. Revenge of the Nerds is the simplified story of how we all got Zuckered and how we can still hope to unzuck our lives. |
| data broker business model: Internet Data Brokers United States. Congress. House. Committee on Energy and Commerce. Subcommittee on Oversight and Investigations, 2006 |
| data broker business model: Privacy and Internet Governance - MIND 7 Wolfgang Kleinwächter, 2014-06-10 |
| data broker business model: Containing Big Tech Tom Kemp, 2023-08-22 The path forward to rein in online surveillance, AI, and tech monopolies Technology is a gift and a curse. The five Big Tech companies—Meta, Apple, Amazon, Microsoft, and Google—have built innovative products that improve many aspects of our lives. But their intrusiveness and our dependence on them have created pressing threats to our civil rights, economy, and democracy. Coming from an extensive background building Silicon Valley–based tech startups, Tom Kemp eloquently and precisely weaves together the threats posed by Big Tech: • the overcollection and weaponization of our most sensitive data • the problematic ways Big Tech uses AI to process and act upon our data • the stifling of competition and entrepreneurship due to Big Tech’s dominant market position This richly detailed book exposes the consequences of Big Tech’s digital surveillance, exploitative use of AI, and monopolistic and anticompetitive practices. It offers actionable solutions to these problems and a clear path forward for individuals and policymakers to advocate for change. By containing the excesses of Big Tech, we will ensure our civil rights are respected and preserved, our economy is competitive, and our democracy is protected. |
| data broker business model: Profiting from the Data Economy David A. Schweidel, 2015 Data is everywhere. Good data. Bad data. Small data. Big data. What are the implications of all this data to businesses and consumers? Can we use it to deliver real benefits to consumers and citizens without sacrificing the privacy they still value? What are the responsibilities of businesses and government in stewarding today's massive collections of data? How are those responsibilities changing? In Profiting from the Data Economy, pioneering marketing analytics researcher David Schweidel answers these and other crucial questions. Throughout this complete, up-to-date briefing on the transformative impact of ubiquitous Big Data, Schweidel illuminates key emerging trends with powerful case studies. The goal: to help you make better decisions about data-as an executive, marketer, IT professional, policymaker, consumer, and citizen. |
| data broker business model: Augmented Customer Strategy Gilles N'Goala, Virginie Pez-Perard, Isabelle Prim-Allaz, 2019-04-26 Digital transformation is shaping a new landscape for businesses and their customers. For marketing professionals, advancing technology (artificial intelligence, robots, chatbots, etc.) and the explosion of personal data available present great opportunities to offer customers experiences that are ever richer, more fluid and more connected. For customers, this ecosystem is synonymous with new roles. They are more autonomous and have power alongside the company: they influence, innovate, punish and more. These developments push companies to implement new customer strategies. It is in this context, marked by pitfalls and paradoxes, that the authors of this book reflect on the customer relationship, what it has become and what it will be tomorrow. The book provides practitioners, teacher-researchers and Master's students with a state of the art and a prospective vision of customer relations in a digital world. It is aimed at those who want to gain an up-to-date understanding of the field and find all the keys needed to project themselves into the future. |
| data broker business model: The Cambridge History of America and the World: Volume 4, 1945 to the Present David C. Engerman, Max Paul Friedman, Melani McAlister, 2022-03-03 The fourth volume of The Cambridge History of America and the World examines the heights of American global power in the mid-twentieth century and how challenges from at home and abroad altered the United States and its role in the world. The second half of the twentieth century marked the pinnacle of American global power in economic, political, and cultural terms, but even as it reached such heights, the United States quickly faced new challenges to its power, originating both domestically and internationally. Highlighting cutting-edge ideas from scholars from all over the world, this volume anatomizes American power as well as the counters and alternatives to 'the American empire.' Topics include US economic and military power, American culture overseas, human rights and humanitarianism, third-world internationalism, immigration, communications technology, and the Anthropocene. |
| data broker business model: Why Business Models Matter Joan Magretta, Harvard Business School, 2002 |
| data broker business model: Data and Information in Online Environments Rogério Mugnaini, 2020-06-15 This book constitutes the refereed post-conference proceedings of the First International Conference on Data and Information in Online Environments, DIONE 2020, which took place in Florianópolis, Brazil, in March 2020. DIONE 2020 handles the growing interaction between the information sciences, communication sciences and computer sciences. The 18 revised full papers were carefully reviewed and selected from 37 submissions and focus on the production, dissemination and evaluation of contents in online environments. The goal is to improve cooperation between data science, natural language processing, data engineering, big data, research evaluation, network science, sociology of science and communication communities. |
| data broker business model: Handbook of Research on Cyberchondria, Health Literacy, and the Role of Media in Society’s Perception of Medical Information Aker, Hacer, Aiken, Mary, 2021-12-17 Cyberchondria is characterized by a pattern of excessive health-based search behaviors that are likely to increase health anxiety or distress, heightened by ever-increasing access to and normalization of technology use and the internet specifically. The internet can be a source of valuable medical information and is an efficient vehicle for awareness-raising and dissemination; however, it can increase anxiety in audiences without medical knowledge or training and can pose a challenge to the traditional gatekeepers of medical knowledge and expertise. Technological advances are accelerating rapidly; however, concomitant to this acceleration, an epidemic of online mis- and dis-information that has the capacity to negatively impact general health, health literacy, and health behaviors globally now exists. The World Health Organization (WHO) has described this information overload as an infodemic. The Handbook of Research on Cyberchondria, Health Literacy, and the Role of Media in Society’s Perception of Medical Information covers a wide range of topics from the characteristics and prevalence of cyberchondria to the pandemic policy response and cybersecurity issues relating to eHealth initiatives and pandemic-related surges in cybercrime. Therefore, this publication has transdisciplinary relevance to professionals from healthcare, government, law enforcement, academia, the technology sector, media, cybersecurity, and education. Graduate and undergraduate students may also find it to be a beneficial resource, not only in terms of the study of cyberchondria but also in terms of the psychological and sociological implications of global crisis events. One of the key messages of this book is as follows: All stakeholders must work together strategically to disseminate authentic public health messages during any global health crisis. They must work to reduce health-related anxiety mediated by technology and seek to improve critical thinking skills and global health literacy. |
| data broker business model: Creating Value from Data Sharing Anne Dreller, 2018-08-14 Anne Dreller shows that data sharing offers great opportunities and huge value creation potential for the business world. Despite many opportunities that data sharing promises, the business world has not fully operationalized this fact yet, due to various existing challenges. Thus, an exemplary, future-oriented, and platform-based data sharing business model is developed for the startup Quemey. This business model is also equipped with prioritized implementation advice, including measures like focusing on strong values for all platform participants, growing their business into a powerful monopolist position, and eliminating barriers of technological, contractual and legal or data privacy uncertainties. |
| data broker business model: Grid Economics and Business Models Daniel J. Veit, 2007-08-28 This volume constitutes the refereed proceedings of the 4th International Workshop on Grid Economics and Business Models held in August 2007. The twelve full papers are organized into topical sections covering grid business modeling, market mechanisms for the grid, and economic grid service provisioning. The proceedings are rounded off by six project reports that give an overview of current and ongoing research in grid economics. |
TO SHARE OR NOT TO SHARE: REGULATING DATA BROKERS
First, the paper defines what a data broker is. The extent of data being sold and likely problems deriving from this business model are discussed. The third section reviews the recent …
BROKERING REFORM: REGULATION OF DATA MARKETS
After defining “data brokers,” the paper discuss-es extent of data being sold and likely problems deriving from this business model. It then reviews recent EU reg-ulation of the data economy,...
Data Brokers: A Call For Transparency and Accountability: A …
Data Brokers: a Call for Transparency and accountability eXeCUTIVe sUMMaRY In today’s economy, Big Data is big business. Data brokers—companies that collect consumers’ …
Data Brokers and European Digital Legislation - Lexxion
the question of whether the data broker business model is compatible with European legislation on digitalisation. I will argue that this business model poses a threat to data protection and the …
Effects of data protection laws on data brokerage businesses
In this paper, we present related concepts and a brief history that led to that current scenario, along with some collaborative-oriented proposals for the adequacy of the data brokerage …
Data Brokerage, the Sale of Individuals’ Data, and Risks to …
Apr 19, 2023 · model is data brokerage, to the thousands of other apps, advertisers, tech giants, and companies that collect, buy, sell, and share Americans’ personal data—profits from …
BUSINESS AND COMMERCE CODE CHAPTER 509. DATA …
(4)AA"Data broker" means a business entity whose principal source of revenue is derived from the collecting, processing, or transferring of personal data that the entity did
Comments of Consumer Reports - CFPB Data Broker Rule
ring data brokers under the auspices of the Fair Credit Reporting Act (FCRA). We support amending the definition of consumer reporting agency (CRA) and consumer report to ensure …
Senator Curry, Representative Roberts and members of the …
May 11, 2021 · Create a Data Broker Registry and Improve Consumer Protections. A data broker’s entire business model depends on harvesting consumer information and selling it to …
Data Brokers and Data Protection: Regulatory Actions
New state laws impose registration and data privacy requirements on data brokers; CFPB proposes to define data brokers as consumer reporting agencies; FTC and FCC enforcement …
Testimony of Pam Dixon - United States Senate Committee …
Jun 11, 2019 · We have done significant work in digital privacy in our key issue areas of health, data brokers, AI and machine learning (broadly, predictive analytics), identity, biometrics, …
Next Steps to Regulate U.S. Data Brokers and Their …
Data brokers operate under many diferent business models. The legal definition of a data broker is critical because it will determine which specific entities would be subject to any enhanced …
Data Broker competition and downstream market entry - C R …
We investigate how the level of competition in a Data Broker (DB) market, and the level of information precision, affect downstream entry and competition. Two verti-cally differentiated …
PREPARED STATEMENT OF - Federal Trade Commission
takes aggressive enforcement action to ensure that data brokers comply with the FCRA where it applies. Second, as data broker business models expand beyond traditional credit reporting, …
Personal data protection and its reflexes on the data broker …
Introduces ideas to prevent the extinction of such a business model upon the shift to privacy and data protection. Keywords: digital identity; internet privacy; personal data; data...
It's time for third-party data brokers to emerge from the …
The data broker business model involves accumulating information about internet users (and non-users) and then selling it. As such, data brokers have highly detailed profiles on...
How Do Competition Policy and Data Brokers Shape Product …
This paper empirically analyzes how a data broker af-fects competition in oligopolistic product markets. It examines a unique case concerning the two dominant Finnish food retail …
Data Brokers and Sensitive Data on US Individuals - Tech Policy
Overview: This report examines 10 major data brokers and the highly sensitive data they hold on U.S. individuals.
IDSA White Paper Specification IDS Meta Data Broker
Business, Information and Interface are normative and required for an IDS Meta Data Broker. All requirements listed under the heading Conditional Requirements have also to be met, if the …
Convincing consumers to share personal data: double-edged …
Although a typical data broker business model is based on Business-to-Business relationships with online entities, more and more restrictive data protection legislation (such as the EU …
TO SHARE OR NOT TO SHARE: REGULATING DATA BROKER…
First, the paper defines what a data broker is. The extent of data being sold and likely problems deriving from this business model are discussed. The …
BROKERING REFORM: REGULATION OF DATA MAR…
After defining “data brokers,” the paper discuss-es extent of data being sold and likely problems deriving from this business model. It then reviews …
Data Brokers: A Call For Transparency and Accounta…
Data Brokers: a Call for Transparency and accountability eXeCUTIVe sUMMaRY In today’s economy, Big Data is big business. Data …
Data Brokers and European Digital Legislation - Lexxion
the question of whether the data broker business model is compatible with European legislation on digitalisation. I will argue that this …
Effects of data protection laws on data brokerage bu…
In this paper, we present related concepts and a brief history that led to that current scenario, along with some collaborative-oriented proposals for …
