This analysis will involve a series of steps in data cleaning, calculations, and comparative analysis to understand trends in KAT Insurance Corporations sales data. Heres a structured approach to address each requirement: $1.$ Data Cleaning: Review the Region and Insurance Type fields for any typographical errors, such as misspellings or inconsistent capitalization. Correct these manually or by using data$-$cleaning tools available in Excel, Power BI$,$ or Tableau. Look for patterns $($e$.$g$.,$ common misspellings$)$ to identify these quickly. $2.$ Calculating Variable Cost and Contribution Margin: For each policy sold, calculate the variable cost $($the direct costs associated with selling the policy$)$ and the contribution margin $($Sales Revenue $-$ Variable Cost$).$ Ensure these fields are added for each policy to support further analysis. $3.$ Aggregating Sales Revenue, Variable Cost, and Contribution Margin by Insurance Type: Use Excels Pivot Table feature, Power BIs grouping functions, or Tableaus aggregation tools to total sales revenue, variable cost, and contribution margin for each Insurance Type. Identify: a$.$ The Insurance Type with the highest total contribution margin. b$.$ The Insurance Type with the lowest total contribution margin. c$.$ The number of policies sold for each Insurance Type. d$.$ The average contribution margin per policy in each Insurance Type $($Total Contribution Margin $-$: Number of Policies$).4.$ Ranking by Contribution Margin Ratio: Calculate the contribution margin ratio for each policy: $($Contribution Margin $-$: Sales Revenue$)\backslash$times $100\%.$ Rank the Insurance Types based on their average contribution margin ratio. Compare this ranking with the total contribution margin ranking from Step $3.$ Explain any differences: Contribution margin ratios and total contribution margins may not always align because the former measures profitability per policy, while the latter is influenced by the total volume of sales. $5.$ Contribution Margin Ratio by State: Calculate each states contribution margin ratio and rank them from highest to lowest. Identify which states have a contribution margin ratio above $75\%,$ highlighting particularly profitable areas. $6.$ Profitability Analysis by Region and Year: For each region, determine the most and least profitable state in the most recent year by contribution margin ratio. Use filters to isolate the most recent years data, then apply groupings by region and state to assess profitability. $7.$ Trend Analysis and Takeaways: Review the completed data to look for trends, such as high$-$ or low$-$performing insurance types, regions, or states. Consider factors like which insurance types consistently have higher margins, whether certain regions or states outperform others, and any notable shifts in performance over time. Discuss possible reasons for these trends and potential implications for KAT Insurance Corporations strategy, such as focusing on high$-$margin insurance types or targeting high$-$margin states. This step$-$by$-$step approach will help uncover insights and trends in the sales and cost data that can inform strategic decision$-$making for the company. Let me know if youd like further guidance on any specific calculations or visualizations!