A Model Of The Data Economy
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A Model Of The Data Economy
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Author : Maryam Farboodi
language : en
Publisher:
Release Date : 2021
A Model Of The Data Economy written by Maryam Farboodi and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with categories.
In a data economy, transactions of goods and services generate information, which is stored, traded and depreciates. How are the economics of this economy different from traditional production or innovation economies? How do these differences matter for measurement of GDP, firm values, depreciation rates, welfare and externalities? Despite incorporating active experimentation and data as an intangible asset, we devise a tractable recursive representation. Because the resulting model maps to many observable macro and finance measures, it can be calibrated and estimated like its old-economy DSGE counterpart. The model also delivers insights: It rationalizes why apps are often "free," why firm size is diverging and why even non-digital economic activity might be greater than GDP suggests.
A Growth Model Of The Data Economy
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Author : Maryam Farboodi
language : en
Publisher:
Release Date : 2021
A Growth Model Of The Data Economy written by Maryam Farboodi and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with categories.
The rise of information technology and big data analytics has given rise to "the new economy." But are its economics new? This article constructs a growth model where firms accumulate data, instead of capital. We incorporate three key features of data: 1) Data is a by-product of economic activity; 2) data is information used for prediction, and 3) uncertainty reduction enhances firm profitability. The model can explain why data-intensive goods or services, like apps, are given away for free, why many new entrants are unprofitable and why some of the biggest firms in the economy profit primarily from selling data. While our transition dynamics differ from those of traditional growth models, the long run still features diminishing returns. Just like accumulating capital, accumulating predictive data, by itself, cannot sustain long-run growth.
Business Models For The Data Economy
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Author : Q. Ethan McCallum
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2013-10-28
Business Models For The Data Economy written by Q. Ethan McCallum and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-10-28 with Computers categories.
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 Economy In The Digital Age
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Author : Samiksha Shukla
language : en
Publisher: Springer Nature
Release Date : 2023-12-21
Data Economy In The Digital Age written by Samiksha Shukla and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-21 with Technology & Engineering categories.
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.
Deliver Value In The Data Economy
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Author : Jarkko Moilanen
language : en
Publisher: BoD - Books on Demand
Release Date : 2023-02-27
Deliver Value In The Data Economy written by Jarkko Moilanen and has been published by BoD - Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-27 with Business & Economics categories.
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.
Deliver Value In The Data Economy
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Author : Jarkko Moilanen
language : en
Publisher: MindMote Oy
Release Date : 2022-06-15
Deliver Value In The Data Economy written by Jarkko Moilanen and has been published by MindMote Oy this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-15 with Business & Economics categories.
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).
New Horizons For A Data Driven Economy
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Author : José María Cavanillas
language : en
Publisher: Springer
Release Date : 2016-04-04
New Horizons For A Data Driven Economy written by José María Cavanillas and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-04 with Computers categories.
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.
Data Driven Business Models For The Digital Economy
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Author : Rado Kotorov
language : en
Publisher: Business Expert Press
Release Date : 2020-04-21
Data Driven Business Models For The Digital Economy written by Rado Kotorov and has been published by Business Expert Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-21 with Business & Economics categories.
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.
The Data Economy
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Author : Laura L. Veldkamp
language : en
Publisher: Princeton University Press
Release Date : 2025-01-14
The Data Economy written by Laura L. Veldkamp and has been published by Princeton University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-14 with Business & Economics categories.
Tools from macroeconomics and finance to incorporate the central role that data plays in the economy The most valuable firms in the global economy are valued largely for their data. Amazon, Apple, Google, and others have proven the competitive advantage of a good data set. And yet despite the growing importance of data as a strategic asset, modern economic theory neglects its role. In this book, Isaac Baley and Laura Veldkamp draw on a range of theoretical frameworks at the research frontier in macroeconomics and finance to model and measure data economies. Starting from the premise that data is digitized information that facilitates prediction and reduces uncertainty, Baley and Veldkamp uncover the ways that firm-level data choices resonate throughout the broader macroeconomic and financial landscapes. With The Data Economy, Baley and Veldkamp put forward a broad research agenda with a formal yet accessible approach, offering an analysis of the data economy and its welfare effects that will be of interest to practitioners, researchers, and graduate students. The tools presented, many of them information-related methods from macroeconomics and finance, are theoretical but introduced with careful attention to how they can inform or enable measurement. Applications include assessing the economic worth of data and unraveling its influence on the structure of production, inflation, and pricing dynamics; firm and investor behavior; advertising; market power; and asset pricing. Baley and Veldkamp bring readers to the cutting edge of this novel research area, equipping them to formulate their own theoretical advances and policy analysis.
The Data Economy
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Author : Sree Kumar
language : en
Publisher: Routledge
Release Date : 2018-10-03
The Data Economy written by Sree Kumar and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-03 with Social Science categories.
"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.