I have a stack of customer support tickets that currently live only on paper. I need every detail from those forms—dates, customer IDs, issue categories, comments, resolution notes—typed into a clean spreadsheet or database so I can finally put the information to work. After the data is digitised, the second phase is analysis. I want to see what the tickets are telling us about recurring issues, sentiment trends, resolution times and any opportunities to improve our service. A short, graphic-rich report (pivot tables, charts or similar) that highlights the key findings will be perfect. Deliverables • Structured dataset of all paper tickets in .xlsx or .csv • Concise analysis report with visuals and clear take-aways • Quick walkthrough (screenshots or screencast) showing your workflow for future reference Acceptance criteria • At least 99 % transcription accuracy (I’ll spot-check) • All tickets captured with no duplicates • Insights directly traceable to the dataset If you’re comfortable combining careful data entry with tools such as Excel, Google Sheets, Power Query, Python (pandas) or SQL, let me know your experience and estimated turnaround time. I’m ready to start as soon as you are.