Data-Driven Modelling and Predictive Analytics in Business and Finance (eBook, ePUB)

Concepts, Designs, Technologies, and Applications
Redaktion: Khang, Alex; Gaur, Sanjaya; Tailor, R. K.; Uygun, Hayri; Gujrati, Rashmi

• Format: ePub

Produktbeschreibung

This book focuses on the opportunities and challenges for data-driven modelling and predictive analytics for business systems. It covers fundamental concepts as well as advanced techniques, technologies, and tools. It discusses technology in the context of innovation, business development, and business management.

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: Taylor & Francis
• Erscheinungstermin: 24. Juli 2024
• Englisch
• ISBN-13: 9781040036532
• Artikelnr.: 70723078

Autorenporträt

Alex Khang is a Professor of Information Technology, D.Sc. D.Litt., and a AI and Data scientist, AI and Data Science Research Center, Global Research Institute of Technology and Engineering, North Carolina, United States. Rashmi Gujrati is a Professor, Campus Director, and Dean of International Affairs at Kamal Gandhi Memorial Ayurvedic College, Nawanshahr, India. Hayri Uygun holds a Ph.D. from Recep Tayyip Erdogan University, Institute of Social Sciences, Business Administration, Rize, Turkey. R. K. Tailor is an expert in robotic process automation and robotic accounting and a Senior Associate Professor at the Department of Business Administration, Manipal University, Manipal, India. Sanjaya Singh Gaur is a Clinical Professor of Marketing at the NYU School of Professional Studies in New York University, New York, United States.

Inhaltsangabe

1. Application of Data Technologies and Tools in Business and Finance
Sectors 2. Data Analytics Tools and Applications for Business and Finance
Systems 3. Big Data Tools for Business and Finance Sectors in the Era of
Metaverse 4. Digital Revolution and Innovation in the Banking and Finance
Sectors 5. Impact of AI and Data in Revolutionizing Microfinance in
Development Countries: Improving Outreach and Efficiency 6. Digital
Payments: The Growth Engine of the Digital Economy 7. Machine
Learning-Based Functionalities for Business Intelligence and Data Analytics
Tools 8. A Study of Domain-Specific Approach in Business Using Big Data
Analytics and Visualization 9. Cloud-Based Data Management for Behavior
Analytics in Business and Finance Sectors 10. Theoretical Analysis and Data
Modeling of the Influence of Shadow Banking on Systemic Risk 11. The
Potential of Fintech-Driven Model in Enabling Financial Inclusion 12.
Predicting Impact of Exchange Rate Volatility on Sectoral Indices 13.
Digital Competency Assessment and Data-Driven Performance Management for
Start-Ups 14. Blockchain Technologies and Applications for Business and
Finance Systems 15. Analyzing the Reaction for M&A of Rivals in Emerging
Market Economy 16. Management Model 6.0 and SWOT Analysis for the Market
Share of Product in the Global Market 17. Human-Centred and Design Thinking
Approaches for Predictive Analytics 18. Co-Integration and Causality
between Macroeconomics Variables and Bitcoin 19. An Examination of Data
Protection and Cyber Frauds in the Financial Sector 20. The ChatGPT's
Influence on the Job Market - An Analytical Study 21. Cloud Data Security
Using Advanced Encryption Standard with Ant Colony Optimization in Business
Sector 22. Cybersecurity Techniques for Business and Finance Systems