1. Identify the variables of interest. The first step is to identify the variables in the income statements that are relevant to understanding customer spending and banking habits. Some potential variables include:
   • Interest income: This is the income that the bank earns from loans and other interest-bearing investments.
   • Non-interest income: This includes income from fees, commissions, and other sources.
   • Operating expenses: This includes the costs associated with running the bank, such as salaries, rent, and utilities.
   • Net income: This is the bank’s profit after all expenses have been deducted.
2. Collect the data. Once the variables of interest have been identified, the next step is to collect the data from the income statements. This can be done by downloading the income statements from the bank’s website or from a financial data provider such as Mergent.
3. Analyze the data. The data can be analyzed using a variety of methods, such as frequency tables, bar charts, and pie charts. These methods can be used to visualize the data and identify trends.
4. Interpret the results. The results of the analysis should be interpreted in the context of the bank’s business and its customers. For example, if the interest income is increasing, it could mean that the bank is lending more money to customers. If the non-interest income is increasing, it could mean that the bank is charging more fees for its services.
5. Make recommendations. The final step is to make recommendations based on the results of the analysis. These recommendations could include changes to the bank’s products and services, marketing campaigns, or lending policies.

Here are three variables in the income statements that the bank may be interested in further researching to learn more about its customers:

• Interest income: This variable can tell the bank how much money it is earning from loans and other interest-bearing investments. The bank may want to research this variable to see if there are any opportunities to increase interest income, such as by lending more money to customers or investing in higher-yielding securities.
• Non-interest income: This variable can tell the bank how much money it is earning from fees, commissions, and other sources. The bank may want to research this variable to see if there are any opportunities to increase non-interest income, such as by charging more fees for its services or offering new products and services that generate fees.
• Operating expenses: This variable can tell the bank how much money it is spending to run its business. The bank may want to research this variable to see if there are any opportunities to reduce operating expenses, such as by negotiating lower rents or reducing staff costs.

The most useful table or chart for communicating information about the bank’s customers will depend on the specific variables that are being analyzed. For example, if the bank is interested in interest income, a bar chart may be the most effective way to visualize the data. If the bank is interested in non-interest income, a pie chart may be more effective.

The case report should summarize the analysis and results, and make recommendations based on the findings. The report should also discuss the limitations of the analysis and how the results could be improved.