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The elements of big data value :foundations of the research and innovation ecosystem

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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.

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Ketersediaan

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Informasi Detail

Judul Seri

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No. Panggil

005.7 ELE e

Penerbit

Cham, Switzerland : Springer Open., 2021

Deskripsi Fisik

xxiii, 399p. : ill.

Bahasa

English

ISBN/ISSN

9783030681760

Klasifikasi

005.7

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

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Subjek

big data

Info Detail Spesifik

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Pernyataan Tanggungjawab

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Versi lain/terkait

Lampiran Berkas

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