1st Edition

Data-Driven Modelling and Predictive Analytics in Business and Finance Concepts, Designs, Technologies, and Applications

    448 Pages 98 B/W Illustrations
    by Auerbach Publications

    448 Pages 98 B/W Illustrations
    by Auerbach Publications

    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.

    1. Application of Data Technologies and Tools in Business and Finance Sectors
    Dishant Banga and Alex Khang

    2. Data Analytics Tools and Applications for Business and Finance Systems
    Cherri Kallimal Aishwarya, Chava Siri Lahari, and Shaik Himam Saheb

    3. Big Data Tools for Business and Finance Sectors in the Era of Metaverse
    Harpreet Kaur Channi and Ramandeep Sandhu

    4. Digital Revolution and Innovation in the Banking and Finance Sectors
    Piyush Gupta and Zehra Raza

    5. Impact of AI and Data in Revolutionizing Microfinance in Development Countries: Improving Outreach and Efficiency
    Shila Mondol, Ipseeta Satpathy, B.C.M. Patnaik, Arpita Nayak, Atmika Patnaik, and Alex Khang

    6. Digital Payments: The Growth Engine of Digital Economy
    Varun Kesavan and Sakthi Srinivasan K.

    7. Machine Learning-Based Functionalities for Business Intelligence and Data Analytics Tools
    Rajasekar Rangasamy, E. Gurumoorthi, Sonam Mittal, T. Daniya, and M.S. Nidhya

    8. A Study of Domain-Specific Approach in Business Using Big Data Analytics and Visualization
    Babasaheb Jadhav, Pooja Kulkarni, Ashish Kulkarni, and Sagar Kulkarni

    9. Cloud-Based Data Management for Behavior Analytics in Business and Finance Sectors
    Tarun Kumar Vashishth, Vikas Sharma, Bhupendra Kumar, and Kewal Krishan Sharma

    10. Theoretical Analysis and Data Modeling of the Influence of Shadow Banking on Systemic Risk
    Hemant Bhanawat and Alex Khang

    11. The Potential of Fintech-Driven Model in Enabling Financial Inclusion
    Muhammed Basid Amnas, Murugesan Selvam, and Chinnadurai Kathiravan

    12. Predicting Impact of Exchange Rate Volatility on Sectoral Indices
    Silky Vigg Kushwah and Pushpa Negi

    13. Digital Competency Assessment and Data-Driven Performance Management for Start-Ups
    Radhika Baidya, Ruhi Lal, and Ravinder Rena

    14. Blockchain Technologies and Applications for Business and Finance Systems
    Luke Jebaraj, Sithankathan Sakthivel, and Irisappane Soubache

    15. Analyzing the Reaction for M&A of Rivals in Emerging Market Economy
    Ruchita Verma, Dhanraj Sharma, and Janaki Singh Rathore

    16. Management Model 6.0 and SWOT Analysis for the Market Share of Product in the Global Market
    Alex Khang, Semenets-Orlova Inna, Klochko Alla, Shchokin Rostyslav, Mykola Rudenko, Romanova Lidia, and Bratchykova Kristina

    17. Human -Centered and Design-Thinking Approaches for Predictive Analytics
    Nimisha Singh and Amita Kapoor

    18. Co-Integration and Causality between Macroeconomics Variables and Bitcoin                            Dhanraj Sharma, Ruchita Verma, and Shiney Sam

    19. An Examination of Data Protection and Cyber Frauds in the Financial Sector                                                                                                                                                       Hemant Bhanawat and Alex Khang

    20. The ChatGPT: Its Influence on the Jobs Market: An Analytical Study
    Kajal Sharma, Zakia Tasmin Rahman, and Ravinder Rena

    21. Cloud Data Security Using Advanced Encryption Standard with Ant Colony Optimization in Business Sector
    M.P. Karthikeyan, V. Praba, A. Kannagi, R. Kavitha, and K. Krishnaveni

    22. Cybersecurity Techniques for Business and Finance Systems
    Harshita Jadwani, Himanshi Shukla, Rajat Verma, and Namrata Dhanda

      

    Biography

    An AI and data scientist, Dr. Alex Khang has been a professor of information technology at universities of science and technology in India, Vietnam, and United States.

    Dr. Rashmi Gujrati is a professor, campus director, and Dean of International Affairs at Kamal Gandhi Memorial Ayurvedic College, India.

    Dr. Hayri Uygun holds a doctoral degree from Recep Tayyip Erdogan University, Institute of Social Sciences, Business Administration, Turkey.

    An expert in robotic process automation and robotic accounting, Dr. R. K. Tailor is a Senior Associate Professor at the Department of Business Administration, Manipal University, India.

    Dr. Sanjaya Singh Gaur is a professor and clinical professor of marketing at the School of Professional Studies, New York University.