Power bi

Start by defining your goals for Power BI and the data you’ll connect from this catalog. Identify key data sources such as category, brand (e.g., BI-POWER and generic), origin (Japan), and stock levels; choose a licensing plan (Power BI Pro vs Premium) and design a clean data model using a star schema. Decide which visuals you’ll use and map data refresh needs to keep insights current. Plan access controls so teammates see only the appropriate information.

Time-based performance is among the most complex to model in Power BI. Create a proper date table and use DAX time-intelligence functions like TOTALYTD and SAMEPERIODLASTYEAR to measure sales, stock turnover, and price trends across brands and categories (such as BI-POWER vs generic, and motor oils vs gear oils). Build measures with CALCULATE and apply filters for category, brand, and origin. Consider performance optimizations like aggregation tables and well-defined relationships to keep dashboards fast.

A store owner uses Power BI for a high-level snapshot of product category performance and stock health. They focus on KPI cards and quick filters by brand or category to guide decisions. A data analyst builds deep, drillable reports with advanced measures and drill-through capabilities to explore performance by brand, category, origin, and time, providing robust insights for stakeholders.

Keep dashboards accurate by scheduling regular data refreshes and validating data quality. Connect to reliable sources that reflect the catalog structure, ensure a date table exists, and implement row-level security if multiple teams access reports. Review relationships when new categories or brands appear and choose the right Power BI capacity (Pro vs Premium) to support sharing and performance.

Power BI works well with Excel, SQL databases, and cloud data sources for catalogs like this. Link product data such as category, brand, and origin from Excel or a database and combine it with sales or traffic data via connectors or APIs to model inventory and performance across brands like BI-POWER and origin groups such as Japan.

Design for mobile by using a focused layout and concise visuals. Use simple KPI cards and prioritized charts, and leverage Power BI mobile layout to rearrange visuals for smaller screens. Keep the number of visuals small, apply meaningful filters, and test performance on real devices to ensure quick loading times.