Research Methodology: Quantitative
Population to Address: Methodology : Quantitative The researcher will be using the business operational articles, The researcher will be using the internet data and the researcher will also visit and collect the local real life banking or Finance sector employees data to support the researcher paper and findings.
Proposed Topic:
Proposed Title : Applications of Business Intelligence in Financial Technology (FinTech)
Proposed Topic : For the past 400 years, the banking/finance sector has lacked operational innovation in terms of process. Technology has made people’s lives more accessible in almost every industry and finance seems to the least impacted. (David, 2020). FinTech applications and software aim to solve this problem and make the operational aspects involving money simpler. Be it lending, borrowing, credit, bonds, futures, stocks and other forms of transactions. (Wall Street). The researcher will apply all the concept on the chime financial services and prove the research questions
Research Question : How can the first, second and third-party data be leveraged using the current trends and methods (big data, AI, Machine learning, DBMS, Visualization) to improve the Fintech industry?
Theoretical background: This dissertation is more focused on finance/banking organization-based research. This course helps in strengthening skills in writing, project design and research methods. theories like strong decision making after an disaster occurs,monitoring and managing the risks before even it occurs and how strategic planning is important in an organization.
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