Data-Driven Modelling and Predictive Analytics in Business and Finance.pdf
大小:(55.21 MB)

只需: RMB 17元  马上下载

内容丰富，440多页的大型资料包。
内容最新，2026出来的最新资料。
内容最实用，全部是矢量文字，适合翻译学习！
Concepts, Designs, Technologies, and Applications
In today’s ever-changing technology edge and unpredictable world, most companies are keen to leverage multi-faceted Data-driven Modelling and Predictive Analytics in Business and Finance to deploy and deliver next-generation smart businesses and industrial applications to their clients anywhere, anytime. All kinds of connected business applications are collectively and/or individually enabled to be intelligent in their operations, offering, and output. Precisely speaking, data-driven and AI-aided applications are being touted as the next-generation technology to visualize and realize a bevy of intelligent transactions in finance and banking business. We are seeing a host of powerful data-driven solutions, IoT technologies, AI-aided techniques, data analytics and visualization tools, libraries, and relevant frameworks aimed at supporting human-controlled capabilities in intelligent computing and modern business systems that are used in the supply chain, agriculture, finance, and banking fields in the real world. The power and consistency of data-driven competencies are being seen as a critical challenge. Experts and engineers insist on the unambiguous interpretability and explainability of financial system decisions. As people move towards an era of data-driven insights and insights-driven decisions, the aspect of explainable AI-empowered business systems is gaining strong attention from inventors. In this resource, we cover the need for business solutions and applications. We then show how business applications uses algorithms and models to bring about the desired results. This resource targets a mixed audience of business analysts, financial analysts, scholars, researchers, academics, professionals, and students from different communities to share and contribute new ideas, methodologies, technologies, approaches, models, frameworks, theories, and practices to resolve the challenging issues associated with the leveraging of combating the six fields of data-driven modelling, predictive analytics, data analytics and visualization tools, AI-aided applications, cybersecurity techniques, cloud computing, and IoT-enabled systems for developing a smart financial systems in the era of Industrial Revolution 4.0.

Chapter 1 Application of Data Technologies and Tools in Business
and Finance Sectors..............................................................................1
Dishant Banga and Alex Khang
Chapter 2 Data Analytics Tools and Applications for Business and
Finance Systems.................................................................................18
Cherri Kallimal Aishwarya, Chava Siri Lahari, and
Shaik Himam Saheb
Chapter 3 Big Data Tools for Business and Finance Sectors in the Era of
Metaverse ...........................................................................................35
Harpreet Kaur Channi and Ramandeep Sandhu
Chapter 4 Digital Revolution and Innovation in the Banking and
Finance Sectors...................................................................................52
Piyush Gupta and Zehra Raza
Chapter 5 Impact of AI and Data in Revolutionizing Microfinance
in Developing Countries: Improving Outreach and Efficiency ..........71
Shila Mondol, Ipseeta Satpathy, B. C. M. Patnaik,
Arpita Nayak, Atmika Patnaik, and Alex Khang
Chapter 6 Digital Payments: The Growth Engine of the Digital Economy........88
Varun Kesavan and Sakthi Srinivasan K.
Chapter 7 Machine Learning-Based Functionalities for Business
Intelligence and Data Analytics Tools..............................................100
Rajasekar Rangasamy, E. Gurumoorthi, Sonam Mittal,
T. Daniya, and M. S. Nidhya
Chapter 8 A Study of a Domain-Specific Approach in Business Using
Big Data Analytics and Visualization...............................................117
Babasaheb Jadhav, Pooja Kulkarni, Ashish Kulkarni, and
Sagar Kulkarni
Chapter 9 Cloud-Based Data Management for Behavior Analytics in
Business and Finance Sectors...........................................................133
Tarun Kumar Vashishth, Vikas Sharma, Bhupendra Kumar, and
Kewal Krishan Sharma
Chapter 10 Theoretical Analysis and Data Modeling of the Influence of
Shadow Banking on Systemic Risk..................................................156
Hemant Bhanawat and Alex Khang
Chapter 11 The Potential of a Fintech-Driven Model in Enabling Financial
Inclusion ...........................................................................................172
Muhammed Basid Amnas, Murugesan Selvam, and
Chinnadurai Kathiravan
Chapter 12 Predicting the Impact of Exchange Rate Volatility on
Sectoral Indices................................................................................186
Silky Vigg Kushwah and Pushpa Negi
Chapter 13 Digital Competency Assessment and Data-Driven Performance
Management for Start-Ups...............................................................203
Radhika Baidya, Ruhi Lal, and Ravinder Rena
Chapter 14 Blockchain Technologies and Applications for Business
and Finance Systems........................................................................235
Luke Jebaraj, Sithankathan Sakthivel, and Irisappane
Soubache
Chapter 15 Analysing the Reaction for M&A of Rivals in an Emerging
Market Economy ..............................................................................274
Ruchita Verma, Dhanraj Sharma, and Janaki Singh Rathore
Chapter 16 Management Model 6.0 and SWOT Analysis for the Market
Share of Product in the Global Market.............................................294
Alex Khang, Semenets-Orlova Inna, Klochko Alla,
Shchokin Rostyslav, Mykola Rudenko, Romanova Lidia, and
Bratchykova Kristina
Chapter 17 Human-Centered and Design-Thinking Approaches for
Predictive Analytics..........................................................................314
Nimisha Singh and Amita Kapoor
Chapter 18 Co-Integration and Causality between Macroeconomics
Variables and Bitcoin........................................................................332
Dhanraj Sharma, Ruchita Verma, and Shiney Sam
Chapter 19 An Examination of Data Protection and Cyber Frauds
in the Financial Sector......................................................................345
Hemant Bhanawat and Alex Khang
Chapter 20 The ChatGPT: Its Influence on the Jobs Market—An
Analytical Study...............................................................................361
Kajal Sharma, Zakia Tasmin Rahman, and Ravinder Rena
Chapter 21 Cloud Data Security Using Advanced Encryption
Standard with Ant Colony Optimization in Business Sector ...........375
M.P. Karthikeyan, V. Praba, A. Kannagi, R. Kavitha, and
K. Krishnaven
Chapter 22 Cybersecurity Techniques for Business and Finance Systems.........391
Harshita Jadwani, Himanshi Shukla, Rajat Verma, and
Namrata Dhanda
Index......................................................................................................................418