"Which countries have the most economically disadvantaged working populations, and what factors contribute to this?"

To answer this question, I would:

1. Extract relevant data from the Doing Business website, likely looking at metrics related to income levels, cost of living, employment rates, and other socioeconomic indicators.

2. Transform the data as needed - for example, calculating derived metrics like purchasing power parity, cost of living adjustments, etc. to enable cross-country comparisons.

3. Load the processed data into Tableau and explore various visualization techniques to uncover insights. This could include ranked bar charts, scatter plots, maps, and other graphics to identify the countries with the most economically disadvantaged workers.

4. Interpret the results and craft a compelling story that answers the original research question. The Tableau dashboard would visualize the key findings, and the accompanying memo would provide details on the data sources, analysis process, and overall conclusions.

The goal would be to deliver a data-driven, visually impactful solution that provides clear, actionable insights to the stakeholders about the optimal locations to focus business initiatives aimed at uplifting disadvantaged populations.