Power BI- Layout

Key Components Explained Visually:

1. Data Flow:                                                                                                                          [Data Sources] → [Power Query Cleaning] → [Data Model] → [Visualizations] → [Published Dashboard]

2. Dashboard Layout Structure:

   ┌─────────────────┬─────────────────┐
   │   Header        │   Filters       │
   ├─────────────────┴─────────────────┤
   │  KPI Cards (4-6 metrics)          │
   ├─────────────────┬─────────────────┤
   │  Main Charts    │  Secondary      │
   │  (Trends)       │  Visuals        │
   ├─────────────────┴─────────────────┤
   │  Detailed Tables/Maps             │
   └───────────────────────────────────┘

3. Visual Hierarchy:

   [Most Important]
      ↑
   KPI Metrics (Big Numbers)
      ↑
   Trend Charts (Line/Column)
      ↑
   Breakdown Visuals (Pie/Tree map)
      ↑
   Detailed Tables
   [Least Important]

4. Filter Relationships:

   [Date Slicer] → Affects all visuals
   [Region Filter] → Updates maps & regional charts
   [Product Filter] → Updates product-related visuals

5. Analyze with DAX

• What to say: "Create measures like Total Sales = SUM(Sales[Amount]) and YoY Growth."

30-Second Example Answer:

*"I build sales dashboards in 5 steps:

1. Source clean data,

2. Analyze with DAX measures,

3. Layout KPIs, trends, and breakdowns,

4. Enhance with filters/drill-downs, and

5. Share for real-time decisions.

For example, a dashboard with revenue cards, monthly trend lines, and a regional map—all updating when users select a timeframe."*

Pro Tip: Add a specific detail to stand out:
"I always include a ‘What-If’ parameter to let users simulate sales targets."

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Even Shorter (1-Sentence)

"I transform raw sales data into interactive dashboards by cleaning, modeling with DAX, designing intuitive visuals, adding filters, and sharing actionable insights."