UID:
kobvindex_INT0003028
Format:
1 electronic resource (xx, 303 pages) :
,
illustrations.
ISBN:
9783319215686
,
331921568X
,
9783319793535
,
3319793535
,
9783319215693
,
3319215698
Content:
MACHINE-GENERATED SUMMARY NOTE: "First of all, this book is not just another approach made by a single player looking down from a corner of the world. It is the compendium of more than 2 years of work performed by a set of major European research centers and industries. It is the compilation and processed synthesis of what we all have done, prepared, foreseen, and anticipated in many aspects of this challenging technological context that is becoming the major axis of the new digitally transformed business environment. [...] The book is divided into four parts: Part I "The Big Data Opportunity" explores the value potential of big data with a particular focus on the European context. [...] 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. [...] 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."
Content:
MACHINE-GENERATED SUMMARY NOTE: "Data has become a factor just as important to production as labor, capital, and land. For the new value creators in today's technology start-ups, little capital and office space is required. Both can be almost free when a firm is growing 1 % per day, on any metric. But without talent, and without the right kind of data, such a takeoff is highly improbable. We see the same forces at play in SAP's Innovation Center Network. Attracting the right talent was critical to establish the first Innovation Center in Potsdam. And having large, real-world datasets from customers and co-innovation partners is critical to many of our innovations. To make a difference in cancer treatment and research with our Medical Research Insights app, we critically depended on datadriven collaboration with the National Center for Tumor Diseases. The same holds for incubating SAP's new sports line of business by co-innovating with the German national soccer team based on real-time sensor feeds from their players. And it holds true for SAP's many initiatives in the Internet of Things, like the predictive maintenance apps with John Deere and Kaeser. The Big Data Value Association (BDVA) is poised to make a difference both for data availability and for talent. By bringing together businesses with leading researchers, software and hardware partners, and enabling co-innovation around large, real-world datasets, BDVA can help lower the data barrier. And helping educate the next generation of thought leaders, especially in data science, computer science, and related fields, BDVA can help increase the supply of talent. Both are critical so Europe can begin to lead, not follow, in creating value from big data. By clearly defining the opportunity in big data, by examining the big data value chain, and by deep-diving into industry sector applications, this book charts a way forward to new value creation and new opportunities from big data. Decision makers, policy advisors, researchers, and practitioners on all levels can benefit from this."
Content:
MACHINE-GENERATED SUMMARY NOTE: "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."
Note:
EDITORIAL NOTE: hardback edition published 2016, paperback edition published 2018.
,
MACHINE-GENERATED CONTENTS NOTE: Preface -- Part I The Big Data Opportunity -- 1 The Big Data Value Opportunity 3 / José María Cavanillas, Edward Curry, and Wolfgang Wahlster -- 2 The BIG Project 13 / Edward Curry, Tilman Becker, Ricard Munné, Nuria De Lama, and Sonja Zillner -- Part II The Big Data Value Chain: Enabling and Value Creating Technologies -- 3 The Big Data Value Chain: Definitions, Concepts, and Theoretical Approaches 29 / Edward Curry -- 4 Big Data Acquisition 39 / Klaus Lyko, Marcus Nitzschke, and Axel-Cyrille Ngonga Ngomo -- 5 Big Data Analysis 63 / John Domingue, Nelia Lasierra, Anna Fensel, Tim van Kasteren, Martin Strohbach, and Andreas Thalhammer -- 6 Big Data Curation 87 / Andre F́reitas and Edward Curry -- 7 Big Data Storage 119 / Martin Strohbach, J€org Daubert, Herman Ravkin, and Mario Lischka -- 8 Big Data Usage 143 / Tilman Becker -- Part III Usage and Exploitation of Big Data -- 9 Big Data-Driven Innovation in Industrial Sectors 169 / Sonja Zillner, Tilman Becker, Ricard Munné, Kazim Hussain, Sebnem Rusitschka, Helen Lippell, Edward Curry, and Adegboyega Ojo -- 10 Big Data in the Health Sector 179 / Sonja Zillner and Sabrina Neururer -- 11 Big Data in the Public Sector 195 / Ricard Munné -- 12 Big Data in the Finance and Insurance Sectors 209 / Kazim Hussain and Elsa Prieto -- 13 Big Data in the Energy and Transport Sectors 225 / Sebnem Rusitschka and Edward Curry -- 14 Big Data in the Media and Entertainment Sectors 245 / Helen Lippell -- Part IV A Roadmap for Big Data Research -- 15 Cross-sectorial Requirements Analysis for Big Data Research 263 / Tilman Becker, Edward Curry, Anja Jentzsch, and Walter Palmetshofer -- 16 New Horizons for a Data-Driven Economy: Roadmaps and Action Plans for Technology, Businesses, Policy, and Society 277 / Tilman Becker, Edward Curry, Anja Jentzsch, and Walter Palmetshofer -- Index 293.
Language:
English
Keywords:
Edited volumes
;
Handbooks and manuals
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