Data-Driven Innovation Big Data for Growth and Well-Being PDF Download

Author: OECD
Publisher: OECD Publishing
ISBN: 9264229353
Category :
Languages : en
Pages : 456

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Book Description
This report improves the evidence base on the role of Data Driven Innovation for promoting growth and well-being, and provide policy guidance on how to maximise the benefits of DDI and mitigate the associated economic and societal risks.

Author: Michael Moesgaard Andersen
Publisher: Routledge
ISBN: 100032916X
Category : Business & Economics
Languages : en
Pages : 117

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Book Description
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?

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: 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: Doug Hall
Publisher: Clerisy Press
ISBN: 1578605822
Category : Business & Economics
Languages : en
Pages : 449

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Book Description
Transform the art of innovation into a reliable system! System Driven Innovation enables you and everyone on your team to use innovation to work smarter, faster, and more creatively. It transforms innovation from a random act to a reliable science. This new mindset ignites confidence in the future. It enables the creation of bigger and bolder ideas—and turns them into reality faster, smarter, and more successfully. With this new mindset, innovation by everyone, everywhere, every day becomes the norm. The rapidly changing world becomes a tremendous opportunity to achieve greatness. Innovation Engineering defines innovation in two words: Meaningfully Unique. When a product, service, or job candidate is Meaningfully Unique customers are willing to pay more money for it. This links to the two simple truths in today’s marketplace: If you’re Meaningfully Unique life is great! If you’re NOT Meaningfully Unique you’d better be cheap. Innovation Engineering is a new field of academic study and leadership science. It teaches how to apply the science of system thinking to strategy, innovation, and cooperation. Research finds that it helps to increase innovation speed (up to 6x) and decrease risk (by 30 to 80%). Innovation Engineering accelerates the creation and development of more profitable products and services. However, the bigger benefit may well lie in its ability to transform organizational cultures by enabling everyone to work smarter every day. What makes Innovation Engineering unique is that it’s grounded in data, backed by academic theory, and validated in real-world practice. Collectively, it’s the number one documented innovation system on earth. Over 35,000 people have been educated in Innovation Engineering classes, and more than $15 billion in innovations are in active development. In his book Driving Eureka!, best-selling business author Doug Hall presents the System Driven Innovation scientific method for enabling innovation by everyone, everywhere, every day. It’s the essential resource you need to enable yourself—and your team—to innovate, succeed, and do amazing things that matter, on a daily basis.

Author: Strydom, Moses
Publisher: IGI Global
ISBN: 1522596895
Category : Computers
Languages : en
Pages : 405

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Book Description
Big data and artificial intelligence (AI) are at the forefront of technological advances that represent a potential transformational mega-trend—a new multipolar and innovative disruption. These technologies, and their associated management paradigm, are already rapidly impacting many industries and occupations, but in some sectors, the change is just beginning. Innovating ahead of emerging technologies is the new imperative for any organization that aspires to succeed in the next decade. Faced with the power of this AI movement, it is imperative to understand the dynamics and new codes required by the disruption and to adapt accordingly. AI and Big Data’s Potential for Disruptive Innovation provides emerging research exploring the theoretical and practical aspects of successfully implementing new and innovative technologies in a variety of sectors including business, transportation, and healthcare. Featuring coverage on a broad range of topics such as semantic mapping, ethics in AI, and big data governance, this book is ideally designed for IT specialists, industry professionals, managers, executives, researchers, scientists, and engineers seeking current research on the production of new and innovative mechanization and its disruptions.

Author: Martin Curley
Publisher: Springer
ISBN: 331962878X
Category : Business & Economics
Languages : en
Pages : 147

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Book Description
This book presents the emerging paradigm and methodology, Open Innovation 2.0 (OI2), which aims to help drive significant structural changes and benefits through digital innovation to society and industry. It highlights how new services and markets can be co-created in open ecosystems and how this leads to a transformation from win-lose to win-win situations for all stakeholders. Organized around a number of core patterns of OI2, such as shared purpose, partnering and platforms, this book leverages more than five years of research by the EU Open Innovation Strategy Policy group. Popularized in the early 2000s, open innovation is a systematic process by which ideas can pass among organizations and travel on different exploitation vectors for value creation. With the simultaneous arrival of multiple digital disruptive technologies and rapid evolution of the discipline of innovation, it became apparent that an entirely new approach to innovation was needed that incorporated technological, societal and policy dimensions. Unlike other innovation methodologies, OI2 is an innovation paradigm and methodology with a purpose: to seek and deliver innovations that move us collectively on to a trajectory towards sustainable intelligent living. OI2 is a paradigm advocating for disruptions, seeking the unexpected and providing support for rapid scale-up of successes. As a method, it provides a safety net for both innovations and innovators, inspiring innovators to have the confidence and courage to innovate. Featuring case studies from domains such as energy, telecommunications, transportation, and finance and from companies including Intel, Lego, Alcatel Lucent and Alstom, this book is useful to industry executives, policy makers, academics, and students of innovation and innovation management.

Author: Martin Schymanietz
Publisher: Springer Nature
ISBN: 3658316918
Category : Business & Economics
Languages : en
Pages : 219

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Book Description
Martin Schymanietz explores dynamic capabilities that help organizations to cope with the challenges and chances of the utilization of data for service provision. Data-driven service innovation provides a fruitful pathway for organizations to extend their current offerings, deepen customer relationships and increase revenues. He examines the nature of data-driven service innovation, accompanied challenges and identifies relevant actors and their roles on an individual level. This approach helps organizations to develop dynamic capabilities based on individual actors that in sum shape the whole organization.

Author: Henry Mason
Publisher: John Wiley & Sons
ISBN: 1119076323
Category : Business & Economics
Languages : en
Pages : 368

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Book Description
Trend-Driven Innovation Beat accelerating customer expectations. Every business leader, entrepreneur, innovator, and marketer wants to know where customers are headed. The problem? The received wisdom on how to find out is wrong. In this startling new book, the team at TrendWatching share a powerful, counter-intuitive truth: to discover what people want next, stop looking at customers and start looking at businesses. That means learning how to draw powerful insights from the way leading brands and disruptive startups—from Apple to Uber, Chipotle to Patagonia—redefine customer expectations. Sharing the secrets that have led thousands of the world's most successful brands and agencies to rely on TrendWatching for over a decade, Trend-Driven Innovation is the book that will reconfigure your view of the business world forever. You'll learn: How to spot emerging trends using three crucial building blocks, and how to recognize the expectation gaps that herald opportunity. Why most professionals focus on precisely the wrong trends and innovations, and how to avoid this. How to turn trends and insights into innovations that customers will love. Amid the endless change that defines today's business environment, opportunity is everywhere. Highly practical, and featuring real-world examples from around the world, Trend-Driven Innovation is the actionable, battle-tested manual that will enable you harness those opportunities time after time. Setting you up to build an organization that matters, products customers love, and campaigns people can't stop talking about.

Author: Erik Roscam Abbing
Publisher: Bloomsbury Publishing
ISBN: 2940439761
Category : Business & Economics
Languages : en
Pages : 208

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Book Description
Branding can inspire innovation in products and services, creating value for organizations and consumers alike. This in turn can lead to a durable relationship between brands and customers. Brand-driven Innovation explores branding theory and its relation to innovation, in order to provide readers with a solid foundation of knowledge. The book employs a practical, four-step method that will help readers apply brand-driven innovation in their own academic or business context.