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Top 10 Challenges of Big Data Analytics

$160.00

Manuel Au-Yong Oliveira (Editor)

Series: Research Methodology and Data Analysis
BISAC: COM032000

The application of big data analytics in all fields of research is a critical driver for the competitiveness of all countries in the modern world. Currently, governments and industry generate large amounts of data driven by record keeping, compliance, regulations, data privacy, and dynamic requirements, and thus there is a need to create better mechanisms to analyse data, and hence support organizational development, as well as providing aid to policymakers’ decision-making processes. In this context, there are emerging disruptive opportunities because of Big Data: new business models, and vertical industry segments will emerge through shared relationships with all the stakeholders, and big data analytics is a major asset to support these dynamic relationships. This book was developed with the objective of analysing some of those challenges while at the same time providing a perspective of the potential of big data analytics, and the importance that analytics have for managers and for policymakers, to help define new strategies and new public policies, respectively. The book is focused on different sectors of activity (i.e. the Health sector, Public Administration, the Education sector, among others), and on different economic dimensions (i.e. Entrepreneurship, and Innovation) and links big data analytics to different fields of research, such as artificial intelligence and other emergent technologies; which are challenging organisations, governments, and societies, with the need to face the new imperative of being prepared for the very uncertain and tremendously complex future – in which big data analytics will play a very decisive and active role.

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Table of Contents

PREFACE

Chapter 1. POTENTIAL OF BIG DATA FOR HEALTHCARE AND PHARMACEUTICAL PROFESSIONALS SKILLS DEVELOPMENT
(António Pesqueira, Bavarian Nordic A/S, Switzerland, Maria José Sousa, Instituto Universitário de Lisboa)

Chapter 2.- KNOWLEDGE TRANSFER ON INNOVATION POLICIES FROM EU TO BRICS: THE POWER OF BIG DATA ANALYTICS
(Maria José Sousa, João Salis Gomes, David Ferraz, Luis Capucha)

Chapter 3. BIG DATA ANALYTICS: A NEW COMPETITIVE ADVANTAGE
(Albérico Travassos Rosário, GOVCOPP, ESGTS – IPSantarém; Filipa Fernandes Vilaça, IPAM-The Marketing School; Ricardo Gomes Raimundo, IPAM-The Marketing School, Lisboa, Portugal; Rui Nunes Cruz, Universidade Europeia)

Chapter 4. INTEGRATIVE REVIEW: RELATIONSHIP BETWEEN BIG DATA AND EDUCATIONAL CONTENT REPOSITORY
(Andreia de Bem Machado, Education Department, Faculdade Municipal de Palhoça, and Engineering Department, FAVIM)

Chapter 5. THE NEW CHALLENGES OF ARTIFICIAL INTELLIGENCE, PROFILING AND BIGDATA ANALYSIS BY TAX ADMINISTRATIONS: WILL THE RIGHT TO MEET THESE NEW CHALLENGES BE SHOWN?
(Luís Manuel Pica, Polytechnic Institute of Beja and Researcher at JusGov- Research Centre for Justice and Governance at University of Minho – School of Law)

Chapter 6. BIG DATA ANALYTICS: EMERGENCE, GROWTH, ISSUES AND POTENTIAL
(Badar Alam Iqbal, School of Transdisciplinary Research and Graduate Studies (STRGS), University of South Africa, Pretoria; Arti Yadav, Indian Council of Social Science Research)

Chapter 7. BIG DATA ANALYTICS TO SUPPORT DIGITAL GOVERNMENT PUBLIC POLICIES
(Francisco Nunes, Institute of Social and Political Sciences (ISCSP), University of Lisbon; Maria Helena Monteiro, Institute of Social and Political Sciences (ISCSP), University of Lisbon; Sara Sequeira, Institute of Social and Political Sciences (ISCSP), University of Lisbon)

Chapter 8. BIG DATA LINKAGES TO SDG AND ENTREPRENEURSHIP – A CASE STUDY APPROACH
(Fernanda Santos Pereira, Instituto Politécnico de Beja; Ana Cristina Mendes, ISEG, Instituto Superior de Gestão; Luciana Aparecida Barbieri da Rosa, UFSM, Universidade Federal de Santa Maria; Maria José Sousa, Instituto Universitário de Lisboa; Carolina Rodrigues, CinTurs; Mónica Rodrigues, Universidade Católica)

INDEX

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