Data Driven Business Models For The Digital Economy
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Data-Driven Business Models for the Digital Economy by Rado Kotorov Pdf
Today the fastest growing companies have no physical assets. Instead, they create innovative digital products and new data-driven business models. They capture huge market share fast and their capitalizations skyrocket. The success of these digital giants is pushing all companies to rethink their business models and to start digitizing their products and services. Whether you are a new start-up building a digital product or service, or an employee of an established company that is transitioning to digital, you need to consider how digitization has transformed every aspect of management. Data-driven business models scale not through asset accumulation and product standardization, but through disaggregation of supply and demand. The winners in the new economy master the demand for one and the supply to millions. Throughout the book the author illustrates with examples and use cases how the market competition has changed and how companies adept to the new rules of the game. The economic levers of scale and scope are also different in the digital economy and companies have to learn new tactics how to achieve and sustain their competitive advantage. While data is at the core of all digital business models, the monetization strategies vary across products, services and business models. Our Monetization Matrix is a model that helps managers, marketers, sales professionals, and technical product designers to align the digital product design with the data-driven business model.
Data-Driven Business Models for the Digital Economy by Rado Kotorov Pdf
Competitive success in the old economy was determined by accumulation, aggregation, and concentration of physical resources. Success in today's new digital economy is achieved by disaggregation and scale. The most strategic resource is data and the most important managerial tools are data management and analytics. Digital companies own no physical resources and manage less assets and people; and, yet, they achieve larger market share and higher market capitalizations. Using data to disaggregate every aspect of the business in order to manage based on micro-trends, the digital companies achieve unprecedented concentration of demand for their data products and services.
The Elements of Big Data Value by Edward Curry,Andreas Metzger,Sonja Zillner,Jean-Christophe Pazzaglia,Ana García Robles Pdf
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.
Social Business Models in the Digital Economy by Adam Jabłoński,Marek Jabłoński Pdf
Filling a gap in the current literature, this book addresses the social approach to the design and use of innovative business models in the digital economy. It focuses on three areas that are of increasing importance to businesses and industry today: social issues and sustainability; digitization; and new economic business models, specifically the sharing and circular economies. The authors aim to solve current scientific concerns around the conceptualization and operationalization of social business models, addressing management intentions and the impact of these models on society. Based on observation of social phenomena and the authors' research and practical experience, the book highlights best practices for designing and assessing social business models.
Data Driven Business Transformation by Peter Jackson,Caroline Carruthers Pdf
OPTIMIZE YOUR BUSINESS DATA FOR FIRST-CLASS RESULTS Data Driven Business Transformation illustrates how to find the secrets to fast adaptation and disruptive origination hidden in your data and how to use them to capture market share. Digitalisation – or the Digital Revolution – was the first step in an evolving process of analysis and improvement in the operations and administration of commerce. The popular author team of Caroline Carruthers and Peter Jackson, two global leaders in data transformation and education, pick up the conversation here at the next evolutionary step where data from these digital systems generates value, and really use data science to produce tangible results. Optimise the performance of your company through data-driven processes by: Following step-by-step guidance for transitioning your company in the real world to run on a data-enabled business model Mastering a versatile set of data principles powerful enough to produce transformative results at any stage of a business’s development Winning over the hearts of your employees and influencing a cultural shift to a data-enabled business Reading first-hand stories from today’s thought leaders who are shaping data transformation at their companies Enable your company’s data to lift profits with Data Driven Business Transformation.
New Horizons for a Data-Driven Economy by José María Cavanillas,Edward Curry,Wolfgang Wahlster Pdf
In this book readers will find technological discussions on the existing and emerging technologies across the different stages of the big data value chain. They will learn about legal aspects of big data, the social impact, and about education needs and requirements. And they will discover the business perspective and how big data technology can be exploited to deliver value within different sectors of the economy. The book is structured in four parts: Part I “The Big Data Opportunity” explores the value potential of big data with a particular focus on the European context. It also describes the legal, business and social dimensions that need to be addressed, and briefly introduces the European Commission’s BIG project. Part II “The Big Data Value Chain” details the complete big data lifecycle from a technical point of view, ranging from data acquisition, analysis, curation and storage, to data usage and exploitation. Next, Part III “Usage and Exploitation of Big Data” illustrates the value creation possibilities of big data applications in various sectors, including industry, healthcare, finance, energy, media and public services. Finally, Part IV “A Roadmap for Big Data Research” identifies and prioritizes the cross-sectorial requirements for big data research, and outlines the most urgent and challenging technological, economic, political and societal issues for big data in Europe. This compendium summarizes more than two years of work performed by a leading group of major European research centers and industries in the context of the BIG project. It brings together research findings, forecasts and estimates related to this challenging technological context that is becoming the major axis of the new digitally transformed business environment.
Digital Business Models by Adam Jabłoński,Marek Jabłoński Pdf
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.
What's Your Digital Business Model? by Peter Weill,Stephanie Woerner Pdf
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.
Digital Business Models in Industrial Ecosystems by Kai-Ingo Voigt,Julian M. Müller Pdf
In recent years, digital business models have frequently been the subject of academic and practical discourse. The increasing interconnectivity across the entire supply chain, which is subsumed under the term Industry 4.0, can unlock even farther-reaching potentials for digital business models, affecting entire supply chains and ecosystems. This book examines the specific challenges and obstacles that supply chain and ecosystem management poses with regard to the development of digital business models. The top-quality contributions gathered here focus on the successful implementation of Industry 4.0 in digital business models for industrial organizations in a European context, making the book a valuable asset for researchers and practitioners alike.
Business Models for the Data Economy by Q. Ethan McCallum,Ken Gleason Pdf
You're sitting on a pile of interesting data. How do you transform that into money? It's easy to focus on the contents of the data itself, and to succumb to the (rather unimaginative) idea of simply collecting and reselling it in raw form. While that's certainly profitable right now, you'd do well to explore other opportunities if you expect to be in the data business long-term. In this paper, we'll share a framework we developed around monetizing data. We'll show you how to think beyond pure collection and storage, to move up the value chain and consider longer-term opportunities.
Data-Driven Innovation by Michael Moesgaard Andersen,Torben Pedersen Pdf
Today, innovation does not just occur in large and incumbent R&D organizations. Instead, it often emerges from the start-up community. In the new innovation economy, the key is to quickly find pieces of innovation, some of which may already be developed. Therefore, there is the need for more advanced means of searching and identifying innovation wherever it may occurs. We point to the importance of data-driven innovation based on digital platforms, as their footprints are growing rapidly and in sync with the shift from analogue to digital innovation workflows. This book offers companies insights on paths to business success and tools that will help them find the right route through the various options when it comes to the digital platforms where innovations may be discovered and from which value may be appropriated. The world hungers for growth and one of the most important vehicles for growth is innovation. In light of the new digital platforms from which data-driven innovation can be extracted, major parts of analogue workflows will be substituted with digital workflows. Data-driven innovation and digital innovation workflows are here to stay. Are you?
Demand-Driven Business Strategy by Cor Molenaar Pdf
Demand-Driven Business Strategy explains the ways of transforming business models from supply driven to demand driven through digital technologies and big data analytics. The book covers important topics such as digital leadership, the role of artificial intelligence, and platform firms and their role in business model transformation. Students are walked through the nature of supply- and demand-driven models and how organizations transform from one to the other. Theoretical insights are combined with real-world application through global case studies and examples from Amazon, Google, Uber, Volvo and Picnic. Chapter objectives and summaries provide consistent structure and aid learning, whilst reflective questions encourage further thought and discussion. Comprehensive and practical, this is an essential text for advanced undergraduate and postgraduate students studying strategic management, marketing, business innovation, consumer behavior, digital transformation and entrepreneurship.
Digital Business Models by Sébastien Ronteau,Laurent Muzellec,Deepak Saxena,Daniel Trabucchi Pdf
A business model basically describes the way a company makes money. Yet, often we use digital services for free (e.g. Facebook, Google or WhatsApp) or for what seems to be a relatively minor price (e.g. Blablacar, Airbnb, and Amazon). Digital business models are different to traditional business models. Digital Business Models explains the key challenges and characteristics of the various business models that are used by digital businesses. These companies can be a source of inspiration for traditional bricks-and-mortar companies that aim to go digital and/or revamp their traditional business model. Most businesses rely on some form of digital technology for their marketing communication, customer relationship management, supply chain or distribution, yet digital transformation entails a complete reassessment of the way value is created and captured. Digital Business Models details the successful customer acquisition tactics and the development of business ecosystems by digital players. Using the relevant academic and managerial body of knowledge, the authors define the concepts, describe the various ways digital businesses create and capture value and propose some useful tools for managers to analyse a situation, formulate or implement a strategy. Different digital business types are evaluated, such as multisided platforms, digital merchants, subscription-based model, freemium, social media and sharing economy. Each chapter is illustrated with several examples and the appendix comprises four full-length case studies.
This book is about the rise of data as a driver of innovation and economic growth. It charts the evolution of business data as a valuable resource and explores some of the key business, economic and social issues surrounding the data-driven revolution we are currently going through. Readers will gain an understanding of the historical underpinnings of the data business and why the collection and use of data has been driven by commercial needs. Readers will also gain insights into the rise of the modern data-driven technology giants, their business models and the reasons for their success. Alongside this, some of the key social issues including privacy are considered and the challenges these pose to policymakers and regulators. Finally, the impact of pervasive computing and the Internet of Things (IoT) is explored in the context of the new sources of data that are being generated. This book is useful for students and practitioners wanting to better understand the origins and drivers of the current technological revolution and the key role that data plays in innovation and business success.
The role of data for digital markets contestability by Jan Krämer,Daniel Schnurr,Sally Broughton Micova Pdf
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.
