I want a clear, data-driven picture of how efficiently we turn invoices into cash. All the raw A/R data is ready for you—dates issued, due dates, payment dates, customer identifiers—so you can jump straight into the work without chasing missing numbers. My sole focus is collection efficiency, and the yard-stick I care about is the percentage of overdue accounts. What I need from you is a concise analysis that calculates this metric, highlights trends by customer segment or time period, and pinpoints problem areas that slow down cash flow. Here’s what the finished job should include: • A clean, documented workbook or script showing how the percentage of overdue accounts is derived from the source data. • Visuals or a compact dashboard that lets me see overdue percentages at a glance and drill down by customer or aging bucket. • An executive summary explaining key findings and two or three actionable recommendations to improve our collection process. Excel, Google Sheets, Power BI, or Python are all acceptable—use whichever lets you deliver the most transparent, reproducible results. Accuracy and clarity matter more to me than flashy design. Once the analysis is validated, I’ll sign off quickly so you can invoice without delay.