New Horizons for a Data-Driven Economy

New Horizons for a Data-Driven Economy
Author: José María Cavanillas
Publisher: Springer
Total Pages: 312
Release: 2016-04-04
Genre: Computers
ISBN: 3319215698

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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.

New Horizons for a Data-Driven Economy

New Horizons for a Data-Driven Economy
Author: José María Cavanillas
Publisher: Springer
Total Pages: 303
Release: 2016-04-11
Genre: Computers
ISBN: 9783319215686

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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.

Deliver Value in the Data Economy

Deliver Value in the Data Economy
Author: Jarkko Moilanen
Publisher: MindMote Oy
Total Pages: 210
Release: 2022-06-15
Genre: Business & Economics
ISBN: 9529463065

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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).

On Economic Strategy in the Data-Driven Economy

On Economic Strategy in the Data-Driven Economy
Author: Dan Ciuriak
Publisher:
Total Pages: 0
Release: 2018
Genre:
ISBN:

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The digital transformation is creating a new kind of economy - a data-driven economy (DDE) that builds on, but differs materially from, the knowledge-based economy (KBE) that preceded it and the industrial economy on which the KBE was based. The underlying economics of the DDE gives rise to powerful incentives for strategic trade and investment policy, which are already shaping policy responses of the economies with major interests in the digital economy. This note outlines the issues and considers the implications for the small open economy.

Data-Driven Business Models for the Digital Economy

Data-Driven Business Models for the Digital Economy
Author: Rado Kotorov
Publisher: Business Expert Press
Total Pages: 161
Release: 2020-04-21
Genre: Business & Economics
ISBN: 195152781X

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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 Transformation

Data Driven Business Transformation
Author: Peter Jackson
Publisher: John Wiley & Sons
Total Pages: 210
Release: 2019-03-25
Genre: Mathematics
ISBN: 1119543207

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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.

The Big Data-Driven Digital Economy: Artificial and Computational Intelligence

The Big Data-Driven Digital Economy: Artificial and Computational Intelligence
Author: Abdalmuttaleb M. A. Musleh Al-Sartawi
Publisher: Springer Nature
Total Pages: 472
Release: 2021-05-28
Genre: Computers
ISBN: 3030730573

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This book shows digital economy has become one of the most sought out solutions to sustainable development and economic growth of nations. This book discusses the implications of both artificial intelligence and computational intelligence in the digital economy providing a holistic view on AI education, economics, finance, sustainability, ethics, governance, cybersecurity, blockchain, and knowledge management. Unlike other books, this book brings together two important areas, intelligence systems and big data in the digital economy, with special attention given to the opportunities, challenges, for education, business growth, and economic progression of nations. The chapters hereby focus on how societies can take advantage and manage data, as well as the limitations they face due to the complexity of resources in the form of digital data and the intelligence which will support economists, financial managers, engineers, ICT specialists, digital managers, data managers, policymakers, regulators, researchers, academics, students, economic development strategies, and the efforts made by the UN towards achieving their sustainability goals.

Profiting from the Data Economy

Profiting from the Data Economy
Author: David A. Schweidel
Publisher: Pearson Education
Total Pages: 288
Release: 2014-10-06
Genre: Business & Economics
ISBN: 0133819841

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Today, the insights available through "big data" are potentially limitless – ranging from improved product recommendations and more well-targeted promotions to more efficient public agencies. In Profiting From the Data Economy, cutting-edge academic researcher, David Schweidel, considers the role that individual consumers, innovators and government will play in shaping tomorrow's data economy. For each group, the author identifies both what can be gained and what is at stake. Writing for decision-makers, strategists, and stakeholders of all kinds, he reveals how today's data explosion will affect consumers' relationships with businesses, and the roles government may play in the process. The book puts you in the shoes of individuals generating data, innovators seeking to capitalize on it, and regulators seeking to protect consumers – and shows how all these roles will be increasingly interconnected in the future. For analytics executives; senior managers; CIOs, CEOs, CMOs; marketing specialists, and analysts; and consultants involved with Big Data, marketing, customer privacy, or related issues. This guide will also be valuable in many business analytics, digital marketing, and social media courses and academic programs.

Data-Driven Innovation

Data-Driven Innovation
Author: Michael Moesgaard Andersen
Publisher: Routledge
Total Pages: 117
Release: 2021-03-02
Genre: Business & Economics
ISBN: 100032916X

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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?

The Business of Data

The Business of Data
Author: Martin De Saulles
Publisher: Routledge
Total Pages: 177
Release: 2020-06-08
Genre: Business & Economics
ISBN: 0429762739

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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.