Power BI Relationships & Dashboard
Budget: $10 – $30 USD
My current Power BI report pulls from several Excel tables and the model has grown messy. Multiple relationships are clashing, producing duplicates and inaccurate aggregations. I need those relationships untangled so each table connects through a single, reliable path.
Once the model is clean, I want to add a custom date slicer that lets users pick specific date ranges—month-to-month, quarter-to-quarter, or any ad-hoc span—without touching the underlying queries.
With a solid model and flexible date logic in place, the last step is a fresh Item Analysis dashboard that surfaces key KPIs: sales quantities, margin %, stock turn, and contribution by item category. Visuals should be clear, interactive, and perform smoothly on the Power BI Service.
Deliverables
• Re-engineered data model with conflict-free relationships
• Custom date-range slicer implemented with DAX or a dedicated Calendar table
• Item Analysis KPI dashboard, fully formatted and documented for hand-off
I’ll provide the current .pbix and source Excel files. Please keep all work inside Power BI Desktop, leverage native DAX functions, and note any assumptions directly in the file.
Once the model is clean, I want to add a custom date slicer that lets users pick specific date ranges—month-to-month, quarter-to-quarter, or any ad-hoc span—without touching the underlying queries.
With a solid model and flexible date logic in place, the last step is a fresh Item Analysis dashboard that surfaces key KPIs: sales quantities, margin %, stock turn, and contribution by item category. Visuals should be clear, interactive, and perform smoothly on the Power BI Service.
Deliverables
• Re-engineered data model with conflict-free relationships
• Custom date-range slicer implemented with DAX or a dedicated Calendar table
• Item Analysis KPI dashboard, fully formatted and documented for hand-off
I’ll provide the current .pbix and source Excel files. Please keep all work inside Power BI Desktop, leverage native DAX functions, and note any assumptions directly in the file.
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