Power BI Product Performance Analysis

@EightVeer

Hi there, We will analyze your yearly sales data in Power BI to surface product performance trends, identify top and bottom performers, and present the findings in a clear dashboard and report. We will also structure the output around the core dataset fields and performance metrics so the analysis stays aligned to the sales story. One point to confirm is whether the source file already includes product, date, revenue, and unit fields, or if the workbook needs light cleanup before the model and visuals are built. Our initial assumption is that you want a yearly comparison view plus a concise summary report with the main performance indicators. Best Regards, 8veer

@khaliduom103

‎ ‎hi i have a lot of experience in power bi,vba etc with advance level of data analysis.i can help you in all such projects with attractive dashboard creation and visualization. ‎

@uvucon

You need a Power BI expert to analyze your sales data and surface product performance insights on a yearly basis. I recently delivered a similar product-performance dashboard for a mid-sized retailer, tracking YoY sales trends, margin breakdowns, and top/bottom performer rankings across their catalog. One question before I proceed: is your sales data consolidated in a single source (Excel, SQL, or CSV exports), or will I need to help merge data from multiple systems first? Here is my approach: 1. Profile and clean your sales dataset — identify key fields (product, date, revenue, units sold, region), handle missing values, and standardize formats. 2. Build a star schema in Power BI with a fact table for sales transactions and dimension tables for products, time periods, and categories (region, channel, etc.). 3. Create DAX measures for YoY growth, profit margins, product ranking, and contribution-to-total percentages. 4. Design interactive dashboards with slicers for drill-down by year, product category, and region, plus a summary page with top-line KPIs. 5. Deliver a comprehensive PDF report summarizing key findings, trends, and actionable recommendations. Sub-milestones: - 30% on data profiling, cleaning, and schema design - 40% on dashboard development and DAX measures - 30% on final reports, documentation, and walkthrough Happy to start with a small first batch to confirm fit before the rest.