Understand the data:
What are the data types (Quantitative, Categorical or Other) of each variable in this dataset? Clean and prepare your data for analysis. Define new variables, if necessary.
Page 3 of 3 2. Define four specific objectives of your analysis. The objectives can be defined based on what you want to do with data and what sparks your interest. Some examples can be: o a business question to answer o to explore a relationship between some variables o to examine a variable's distribution among different groups o to identify some interesting values o ...
3. Apply appropriate business analytics techniques (sort, filter, conditional formatting, numerical summaries, crosstabulations, charts, regression, etc.) to explore the dataset based on your objectives. You have a lot of freedom to choose what to do, as long as you reach your objectives and restrict yourselves to exploratory techniques (rather than forecasting, simulation, or optimization approaches).
4. Present your analysis and findings in a report. Also, provide business actions/decisions for Financy based on your findings. 5. Submit your Excel file and your report (pdf or Word)
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