I have a set of operational spreadsheets and need a straightforward descriptive analysis to understand where processes slow down, where resources pile up, and which steps could run more smoothly. Here’s what I need from you: • Clean and organize the raw spreadsheet data so totals, dates, and text fields line up correctly. • Produce clear summary tables and simple charts that highlight cycle times, bottlenecks, and utilisation rates. • Write a brief, plain-language memo (1–2 pages) explaining the key takeaways and any obvious quick wins for efficiency. A working knowledge of Excel or Google Sheets is essential; if you prefer lightweight scripting in Python (pandas) to speed up the cleanup, that’s fine as long as the final outputs remain in a spreadsheet file I can open. The scope is intentionally lean—just a basic diagnostic to steer my next steps—so please keep the analysis tight and focused on the most actionable insights.