power-bi-retail-analytics-dashboard

Clone the SalesPulse 360 repository, extract the Global Superstore dataset, and open the PBIX file in Power BI Desktop. The dashboard loads a star schema with pre-built DAX measures for sales, profit margin, and year-over-year growth.

Add a line chart with date and sales measures, then enable Forecast in the Analytics pane with a 12-month forecast length and 95% confidence interval. Ensure at least 24 months of historical data so seasonality can be detected.

Yes, use Get Data then SQL Server and choose Import mode for small datasets or DirectQuery for large ones. You can also reference environment variables in Power Query to keep server credentials out of the file.

Slow rendering usually comes from row-by-row DAX iteration, too many visuals per page, or large unaggregated datasets. Replace SUMX patterns with direct column aggregations, limit pages to 15-20 visuals, and pre-aggregate at monthly level.

Refresh failures typically stem from expired data source credentials or missing gateway configuration for on-premises sources. Re-enter credentials in dataset settings and verify the Power BI Gateway is installed and linked to the dataset.

Create a role under Modeling then Manage Roles with a DAX filter such as matching Region to USERPRINCIPALNAME or a security mapping table. Test the configuration with View as Roles before publishing.