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Data-Driven Modelling and Predictive Analytics in Business and Finance

Concepts, Designs, Technologies, and Applications
 
Kiadás sorszáma: 1
Kiadó: Auerbach Publications
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Kiadói listaár:
GBP 74.99
Becsült forint ár:
36 220 Ft (34 495 Ft + 5% áfa)
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Az Ön ára:
28 976 (27 596 Ft + 5% áfa )
Kedvezmény(ek): 20% (kb. 7 244 Ft)
A kedvezmény érvényes eddig: 2024. június 30.
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Rövid leírás:

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.

Hosszú leírás:

Data-driven and AI-aided applications are next-generation technologies that can be used to visualize and realize intelligent transactions in finance, banking, and business. These transactions will be enabled by powerful data-driven solutions, IoT technologies, AI-aided techniques, data analytics, and visualization tools. To implement these solutions, frameworks will be needed to support human control of intelligent computing and modern business systems. The power and consistency of data-driven competencies are a critical challenge, and so is developing explainable AI (XAI) to make data-driven transactions transparent.


Data- Driven Modelling and Predictive Analytics in Business and Finance covers the need for intelligent business solutions and applications. Explaining how business applications use algorithms and models to bring out the desired results, the book covers:



  • Data-driven modelling

  • Predictive analytics

  • Data analytics and visualization tools

  • AI-aided applications

  • Cybersecurity techniques

  • Cloud computing

  • IoT-enabled systems for developing smart financial systems

This book was written for business analysts, financial analysts, scholars, researchers, academics, professionals, and students so they may be able to share and contribute new ideas, methodologies, technologies, approaches, models, frameworks, theories, and practices.

Tartalomjegyzék:

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