Data-Driven Modelling and Predictive Analytics in Business and Finance : Concepts, Designs, Technologies, and Applications (Paperback)

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 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 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 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