The Elements of Big Data Value - Foundations of the Research and Innovation Ecosystem (Hardcover, 1st ed. 2021)

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.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Release date:	July 2021
First published:	2021
Editors:	Edward Curry • Andreas Metzger • Sonja Zillner • Jean-Christophe Pazzaglia • Ana Garcia Robles
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	401
Edition:	1st ed. 2021
ISBN-13:	978-3-03-068175-3
Categories:	Books > Science & Mathematics > Science: general issues > Industrial applications of scientific research & technological innovation Books > Business & Economics > Business & management > Management of specific areas > Research & development management Books > Business & Economics > Industry & industrial studies > Media, information & communication industries > Information technology industries Books > Computing & IT > Applications of computing > Databases > Data capture & analysis
LSN:	3-03-068175-0
Barcode:	9783030681753

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