I have a set of raw transactional records sitting in several CSV files. I need them imported into Power BI, cleaned, and reshaped into a star-style model. The core relationships I must see are Customer → Orders and Region → Revenue; anything else you add for best practice is welcome provided it remains documented. Once the model is in place, create DAX measures for: • Total revenue • Number of orders • Distinct customers • Return rate With those measures, build visuals that show: • Revenue distribution by region • Seasonal revenue patterns (month and quarter) • Any revenue-concentration risk—e.g., regions or customers that contribute a disproportionate share • Key performance trends over time I will consider the job complete when I receive a PBIX file that: 1. Loads directly from my CSVs with no manual fixes required, 2. Shows the specified relationships in the model view, 3. Contains well-named, commented DAX measures, and 4. Presents an insight-driven report page (or pages) covering the analyses above. Please keep your solution inside Power BI only; no external ETL tools are necessary. Let me know if you need a small sample extract to begin.