Big Data Analytics

Harnessing Data for New Business Models
1. Auflage 2021
ISBN: 978-1-77188-956-8
Verlag: Taylor & Francis Ltd (Sales)

Buch, Englisch, 326 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 630 g

This volume explores the diverse applications of advanced tools and technologies of the emerging field of big data and their evidential value in business. It examines the role of analytics tools and methods of using big data in strengthening businesses to meet today’s information challenges and shows how businesses can adapt big data for effective businesses practices.

This volume shows how big data and the use of data analytics is being effectively adopted more frequently, especially in companies that are looking for new methods to develop smarter capabilities and tackle challenges in dynamic processes. Many illustrative case studies are presented that highlight how companies in every sector are now focusing on harnessing data to create a new way of doing business.

Autoren/Hrsg.

Sedkaoui, Soraya

Khelfaoui, Mounia

Kadi, Nadjat

Fachgebiete

• Naturwissenschaften Biowissenschaften Biowissenschaften
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Informationsarchitektur
• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Drahtlostechnologie
• Wirtschaftswissenschaften Volkswirtschaftslehre Internationale Wirtschaft Entwicklungsökonomie & Emerging Markets
• Mathematik | Informatik EDV | Informatik EDV & Informatik Allgemein
• Wirtschaftswissenschaften Betriebswirtschaft Management Entscheidungsfindung
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Datenbankdesign & Datenbanktheorie
• Geowissenschaften Umweltwissenschaften Nachhaltigkeit
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse
• Wirtschaftswissenschaften Betriebswirtschaft Management Wissensmanagement
• Wirtschaftswissenschaften Betriebswirtschaft Bereichsspezifisches Management Vertrieb

Inhaltsverzeichnis

PART I: BIG DATA: OPPORTUNITIES AND CHALLENGES 1. Big Data: An Overview 2. Big Data Between Pros and Cons 3. Big Data Uses and the Challenges They Face 4. Twitter’s Big Data Analysis Using RStudio 5. Big Data for Business Growth in Small and Medium Enterprises (SMEs) PART II: BIG DATA AND BUSINESSES’ DECISION-MAKING PROCESS? 6. The Role of Big Data in Strategic Decision-Making 7. Data Mining and Its Contribution to Decision-Making in Business Organizations 8. The Strategic Role of Big Data Analytics in the Decision-Making Process 9. The Role of the Information System in Making Strategic Decisions in the Economic Institution: Case Study of Baticic in Ain Defla, Algeria 10. The Role of Big Data Analysis and Strategic Vigilance in Decision-Making 11. Big Data Analysis and Its Role in Making Strategic Decisions PART III: BIG DATA APPLICATIONS: BUSINESS EXAMPLES 12. The Farthest Planning of Big Data in the Light of Information Technology: "Smart Cities: A World to Yet" 13. Blockchain Technology as a Method Based on Organizing Big Data to Build Smart Cities: The Dubai Experience 14. The Uses of Big Data in the Health Sector 15. The Role of Big Data in Avoiding the Banking Default in Algeria (The Possibility of Upgrading the Preventive Centers of the Bank of Algeria as a Source of Big Data) 16. Marketing Information System as a Marketing Crisis Management Mechanism through Big Data Analytics: A Case Study of Algeria Telecom in Bouira 17. Perspectives of Big Data Analytics’ Integration in the Business Strategy of Amazon, Inc. 18. The Hospital Information System: A Fundamental Lever for Performance in Hospitals PART IV: BIG DATA AND SUSTAINABLE DEVELOPMENT 19. Big Data Analysis and Sustainable Development 20. Big Data for Sustainable Development Goals: Theoretical Approach 21. Using Big Data in Official Statistics for Sustainable Development 22. The Initiatives of the UN to Improve the Quality of Big Data and Support the Sustainable Development Goals for 2030 23. Big Data and It Role in Achieving the Sustainable Development Goals: Experiences of Leading Organizations

Über Autor(innen)

Soraya Sedkaoui, PhD, is a senior lecturer, data analyst, and strategic business consultant with more than 10 years of teaching, training, research, and consulting experience in statistics, big data analytics, and machine learning algorithms. Leading the Big Data Analytic Consulting Practice at SRY Consulting in Montpellier, France, Dr. Soraya is focused on working with global clients across industries to determine how a data-driven approach can be embedded into strategic initiatives. She worked as a researcher at TRIS Laboratory at the University of Montpellier, France. Her science-oriented research experience and interests are in the areas of big data, computer science, and the development of algorithms and models for business applications and problems. Dr. Sedkaoui’s prior books and research have been published in several refereed editions and journals.

Mounia Khelfaoui, PhD, is a teacher-researcher and lecturer at the University Djilali Bounaama Khemis-Miliana, Algeria. With experience in research, she is a member of the research laboratory "Industry, Organizational Development of Enterprises and Innovation" of the University of Khemis-Miliana. Her research focuses on sustainable development and especially on corporate social responsibility (CSR), the sharing economy, and the circular economy. She has published in various journals and conferences dealing with the topic of CSR and sustainable development. Dr. Khelfaoui’s research proposes to demonstrate the role of the adoption of the CSR in organizations in light of the principles of sustainable development.

Nadjat Kadi, PhD, is a senior lecturer at the University of Djilali Bounaama Khemis-Miliana, Algeria. She is the Manager of The Digital Economy Laboratory. Her research relates to economic and statistical analysis and the field of demography. She graduated from the University of Oran, Algeria, with a PhD in in demography and an HDR in economic and demographic analysis.