In analyzing the business issue, two issues were identified from the previously presented scenario. The two issues are "the viability of locating the business in Canary Wharf and London's financial district" and "why financial institutions are clustering around the financial district despite the high cost". Both of these issues include the risks associated with locating financial institutions in a financial district. and the factors that influence institutions in their decision to consolidate within the same or a related financial sector. It also includes the advantages and disadvantages of clustering which also help in decision making. In the diagram above, the topic, financial cluster, has been analyzed and classified into four categories: When, Where, What and Who. “When” indicates the time period of journal articles and reports to be used for research. “Where” includes relevant places that might help in a better understanding of the topic. “What” helps identify relevant information needed to find possible solutions to the research problem. “Who” is to identify the relevant people or organizations involved in the topic. Through this, research questions can be formulated in a way that creates a goal and defines the direction this research will take. The three research questions are as follows: - What important factors influence companies the most in choosing a financial cluster? - To what extent is clustering successful in creating financial innovation within the cluster? various cluster definitions due to the different types of industrial clusters which have their own characteristics and sustainability potential. But a general definition... middle of document...... regarding financial cluster concepts and the relationship between factors like innovation. Additionally, the research questions actually test theories that firms reluctant to relocate and consolidation help create financial innovation. The method will be quantitative because it will test the theories to obtain an interpretation. Using numerical data and business statistics to test theories provides stronger evidence than simple observations. Statistics may involve graphs, measurements of quantitative variables which may be internal, or ratio measurements. Data collection will be descriptive and explanatory as plausible methods are tests and surveys where there is consolidation of data and questionnaires. The methods used will be a replication research method where the methods will be repeated from other relevant studies but with different variable inputs..