Our entire sales history sits in a central database, and I need clear, actionable insights on two fronts: how each product line is performing and how those numbers break down by region. The raw tables are already structured, so you can dive straight in with SQL or your preferred data-wrangling tool, pull what you need, and surface the patterns that matter. Focus areas • Product performance: highlight best- and worst-selling items, growth rates over time, and any anomalies worth investigating. • Regional sales: compare territories, uncover seasonality, and flag regions that consistently over- or under-perform. I’m looking for a concise deliverable set—cleaned query output, well-labeled visualizations (Power BI, Tableau, or Python/Matplotlib are all fine), and a brief written summary that spells out the key findings and recommendations. Code or query files should be included so the work can be reproduced. If you’ve previously turned raw database tables into clear dashboards or reports, this task will feel familiar. Accuracy and clarity matter more than fancy graphics, so keep the storytelling tight and data-driven.