I need a data-savvy partner to dive into our operational metrics, which live in a SQL database, and surface clear performance trends that management can act on. All tables are well-structured and documented; you will have read-only credentials so you can write your own queries and extract what you need. The core deliverable is an insight-driven summary, not just raw numbers. I’m expecting a concise report that highlights how key metrics have moved over time, pinpoints emerging patterns (seasonality, bottlenecks, outliers), and explains what those movements mean for day-to-day operations. Visuals—line charts, heat maps, or whatever best illustrates the story—should accompany your narrative so the takeaway is obvious at a glance. Please outline: • The analytical approach you plan to take (SQL querying, statistical methods, visualization tools such as Power BI, Tableau, or Python/Matplotlib). • Any assumptions you need clarified before you start. • A realistic timeline for initial findings and final report. Acceptance criteria: • All queries supplied (.sql file) and reproducible. • Interactive or static visuals plus a brief slide deck or PDF summary. • Action-oriented recommendations tied directly to the identified trends. If you’ve uncovered performance trends from operational data before, I’d love to see a sample or brief description of that work. Let’s turn our raw metrics into clear, decision-ready insights.