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

Question:

Based on the content and knowledge that you have learnt in the data visualisation session, please discuss the following question: After three months of solid research and data analytics about the new business idea, from both qualitative and quantitative data, how do you plan to present your data/output/conclusion to these three MBA students, in order for helping them to make meaningful decisions?