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.
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.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
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
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
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