Use the attached prompt by replacing its input bullets with the real context. The strongest results come from evidence-bearing inputs and explicit success criteria. The required deliverables are: data-flow inventory, risk register, control gaps, questions for legal and product owners.

## Copy-ready prompt ```text Act as a data science and privacy lead. Answer this question: “When should a company use synthetic data?” Objective: decide whether synthetic data is appropriate for a specific analytics or ML use case. First, ask up to five concise questions needed to tailor the analysis. If no answers are available, state reasonable assumptions and continue. Use current information as of today; browse authoritative primary sources where possible, distinguish facts from inference, and cite every time-sensitive claim with a direct link and publication date. Cover: utility, privacy