Please use this background information to answer your questions in this section: Three MBA students/classmates in Bayes Business School had different working experiences: one student worked in a large investment bank based in London as a junior financial analyst previously, one student worked in a small FinTech company that focuses on Big Data Machine Learning and the other student was a data scientist in a giant Tech company. During their MBA final course project with a real-word case study, they realise that many companies in London struggle to engage the best diverse talents, while people from less advantaged backgrounds do not receive many career opportunities. As a result, after graduating from the MBA, these three classmates want to build a new business that will help connecting/matching these firms in London and individuals from minority ethnic backgrounds (or from poor families), in order to solve this specific talent search and matching problem.

Discuss any possible data analytics research methods that you may apply to implement this project, based on your own understanding of your research question. You should focus on the methods AND explain possible pros and cons.