Deliver Value in the Data Economy PDF Download

Author: Jarkko Moilanen
Publisher: BoD - Books on Demand
ISBN: 9528069975
Category : Business & Economics
Languages : en
Pages : 210

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Book Description
The book is for data monetization purposes, helps you to build bridge between IT department and business design to maximise data driven value creation. Data productizement and servitization are explained with real-world example case stories. This book is primarily for data business developers and contains just bare minimum of technical terms.

Author: Jarkko Moilanen
Publisher: MindMote Oy
ISBN: 9529463065
Category : Business & Economics
Languages : en
Pages : 210

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Book Description
The book Deliver Value in the Data Economy is for data monetization purposes, which helps you to build a bridge between the IT department and business design to maximize data-driven value creation. Why the book is written? Based on data product-related discussions with 200+ companies, we have seen that gap in knowledge is not in technology or adopting technology to monetize data assets. A lot of tools, platforms, and technical solutions exist and we have skilled people on the job. But the problem is that they do not know what to do or why. The business layer in companies is lagging behind and has difficulties understanding and applying data economy in their business. We want to change that! The book is written for business developers, CEOs, CIOs, CDOs, and all developing data-driven businesses. If you happen to be in a position in which innovating new business or leading digitalization is your thing, this book is for you! The book offers insights based on our experiences in practical cases as well as results from academic research we conduct as well. Two of us have doctoral degrees from ecosystem-driven platform businesses. We will leave the technical aspects in the outer rings since those aspects are already covered in various blogs and podcasts. The focus is on the business side of data commodities also known mostly as data products and data as a service (DaaS).

Author: José María Cavanillas
Publisher: Springer
ISBN: 3319215698
Category : Computers
Languages : en
Pages : 303

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Book Description
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.

Author: Samiksha Shukla
Publisher: Springer Nature
ISBN: 9819976774
Category : Technology & Engineering
Languages : en
Pages : 139

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Book Description
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.

Author: David A. Schweidel
Publisher: Pearson Education
ISBN: 0133819779
Category : Business & Economics
Languages : en
Pages : 288

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Book Description
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.

Author: Edward Curry
Publisher: Springer Nature
ISBN: 3030681769
Category : Computers
Languages : en
Pages : 399

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Book Description
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.

Author: Vasiliu-Feltes, Ingrid
Publisher: IGI Global
ISBN: 179988967X
Category : Medical
Languages : en
Pages : 290

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Book Description
Within the past decade, we have witnessed an increased adoption of emerging technologies as well as the exponential pace of scientific discoveries within all industries. The level of digital innovation and digital transformation experienced in healthcare and life sciences has been markedly accelerated by the COVID-19 pandemic. There is a new sense of urgency to design and develop a new global health ecosystem that is more suitable for the digital era and future generations. Deploying precision medicine solutions that can redefine the way we diagnose and treat disease, as well as shift the focus towards a customized human-centered approach, such as those offered by personalized medicine, can be a viable sustainable model. Digital Identity in the New Era of Personalized Medicine highlights the latest trends in precision medicine and the important role digital identity plays in upholding ethical values, safeguarding human rights, and practicing responsible personalized medicine. It provides an overview of the current healthcare legal and regulatory landscapes as well as some of the major challenges and opportunities we face in this digital, virtual, and precision medicine-powered era. Covering topics such as data-centric compliance, global health, and identity management, this book is an essential resource for doctors, healthcare administration, academicians, clinicians, health and bio-tech executives, researchers, medical professionals, medical engineers, medical students, and government officials looking for a resource that addresses challenges in healthcare including trust, privacy, data integrity, and ownership.

Author: Sree Kumar
Publisher: Routledge
ISBN: 0429782632
Category : Social Science
Languages : en
Pages : 116

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Book Description
"The data economy" is a term used by many, but properly understood by few. Even more so the concept of "big data". Both terms embody the notion of a digital world in which many transactions and data flows animate a virtual space. This is the unseen world in which technology has become the master, with the hand of the human less visible. In fact, however, it is human interaction in and around technology that makes data so pervasive and important – the ability of the human mind to extract, manipulate and shape data that gives meaning to it. This book outlines the findings and conclusions of a multidisciplinary team of data scientists, lawyers, and economists tasked with studying both the possibilities of exploiting the rich data sets made available from many human–technology interactions and the practical and legal limitations of trying to do so. It revolves around a core case study of Singapore’s public transport system, using data from both the private company operating the contactless payment system (EZ-Link) and the government agency responsible for public transport infrastructure (Land Transport Authority). In analysing both the possibilities and the limitations of these data sets, the authors propose policy recommendations in terms of both the uses of large data sets and the legislation necessary to enable these uses while protecting the privacy of users.

Author: Andrew Roman Wells
Publisher: John Wiley & Sons
ISBN: 1119356253
Category : Business & Economics
Languages : en
Pages : 311

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Book Description
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.

Author: Francisco J. López Lubián
Publisher: Springer
ISBN: 3319517503
Category : Business & Economics
Languages : en
Pages : 168

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Book Description
An in-depth examination of the concept of value in a digital world, an analysis of a range of digital business models and a framework for assessing the value of digital businesses. Assessing the value of traditional business was easy. There are hard, well tested metrics and tangible, measurable assets you can literally kick the tyres of. But how do you measure the value of something that consists of little more than bits of information, brand awareness and a compelling idea? In the winner takes all digital world how do you know if this idea is one that will attract billions of dedicated users or a few thousand fleeting trialists? And, most importantly, how do you assess whether any given business model is robust enough to make billions or flawed in a way that will lose millions? Lopez Lubian and Esteves look at what economic value means in a digital world, and argue for a shift from traditional value metrics to digital value metrics. Through high profile case studies they examine the process of valuation in the digital world – examining the challenges of making objective judgments from subjective information and how to assess the value of data. Next they analyse in depth a number of different digital business models from the perspective of delivering value to investors, stakeholders and society at large. Finally they present a framework model for assessing value in digital business.