FINTECH: Evolution or Revolution

✍ Scribed by Sumit Chakraborty

• Publisher: Business Analytics Research Lab India
• Year: 2018
• Tongue: English
• Leaves: 139
• Edition: 1
• Category: Library

✦ Synopsis

FinTech is a set of financial technologies (e.g. information and communication technology, cloud computing, internet, mobile computing), tools, platforms and ecosystems that make financial services (e.g. banking, payment processing, funding, lending, investing, trading, currencies) and financial products more accessible, efficient, and affordable. FinTech is expected to transform the financial systems and processes but should not disrupt the financial industry entirely. Fintech is a wave of information transformation that is expected to reshape the society and industries that deal with trust, money, and value. Please find attached file which talks about business analytics for top FINTECH innovations today.
Deep analytics does not only mean statistics or data mining or big data analytics, it is a complex multi-dimensional analysis through ‘7-S’ model based on rational, logical and analytical reasoning from different perspectives such as scope, system, structure, staff-resources, skill-style-support, security and strategy. Is it really confusing : Statistics, Data mining, Machine Learning, Pattern Recognition, Analytics, Business Intelligence all are old wine in new bottles!
This e-book presents a deep analytics model through a consistent and systematic approach and highlights its utility and application for reasoning eight FINTECH innovations today: (1) Blockchain, (2) M-Commerce, (3) B-Commerce, (3) Supply chain finance, (4) Insurtech (Insurance), (5) High frequency trading (6) Portfolio analytics, (7) Regtech (Regulatory Compliance) and (8) Predictive Analytics.
The reality is that every stakeholder is impacted by the challenges and opportunities of innovation ecosystems today. The concept of deep analytics is still relatively new; it has now emerged as a powerful tool for business analytics and a real world theme in the modern global economy. The target audience of this e-book includes academic and research community, corporate leaders, policy makers, administrators and governments, entrepreneurs, investors, engineers, producers and directors interested in production of documentary films, news and TV serials. I am excited to share the ideas of deep analytics with you. I hope that you will find them really value adding and useful and will share with your communities. It is a rational and interesting option to teach FINTECH & business analytics for various academic programmes of Finance and business management (e.g. Technology Management, MIS, Financial Engineering and Analytics for BBA, MBA, PGDM, PGDBM, Ph.D. & Fellow Programme).
Regards and ‘SUBHO BIJAYA’.
Sumit Chakraborty
Fellow (IIMC), Bachelor of Electrical Engineering (JU),
15 October, 2018

✦ Table of Contents

1 Introduction : Deep analytics for FINTECH innovation
2 Blockchain: Deep Analytics
3 M-Commerce : Mobile Commerce in the Digital Economy
4 B-Commerce : Adaptively secure broadcast
5 Supply Chain Finance
6 InsurTech
7 High frequency trading
8 Portfolio Analytics
9 RegTech
10. Predictive Analytics
11. Conclusion