Thursday, May 1, 2025

Power BI building report

 Here’s the simplest way to remember, using the "3 C’s + VISUAL" method (easy to recall under pressure):

🧠 Memory Trigger: "3 C’s + VISUAL"

1. Connect → 2. Crunch → 3. Craft → VISUAL

1. CONNECT Data

  • "Link to sources (Excel, SQL), clean in Power Query."

  • Think: Plugging a USB cable.

2. CRUNCH with DAX

  • "Calculate KPIs like sales growth and profit margins."

  • Think: A calculator crunching numbers.

3. CRAFT Structure

  • "Model relationships (e.g., Sales ↔ Products) and hierarchies (Year > Month)."

  • Think: Building Lego blocks.

VISUAL (Dashboard Steps):

  • Visuals (Cards, Charts, Maps)

  • Interactivity (Slicers, Filters)

  • Style (Colors, Fonts)

  • Upload to Power BI Service

  • Align Layout (Top → Bottom: KPIs → Trends → Details)

  • Launch & Share


🗣️ Sample Answer (30 Seconds):

*"I use the 3 C’s:

  1. Connect to data sources and clean it,

  2. Crunch numbers with DAX for KPIs like YoY growth,

  3. Craft relationships and hierarchies.

Then, I build VISUAL dashboards:

  • Visuals like trend charts and sales maps,

  • Interactive filters for regions/dates,

  • Style it for clarity,

  • Upload to the cloud,

  • Arrange insights logically, and

  • Launch for stakeholders."*


💡 Pro Tips to Nail the Answer:

  1. Analogies Win:

    • "It’s like GPS: Connect (input destination), Crunch (calculate the route), Craft (turn-by-turn directions)."

  2. Mention ONE Technical Detail:

    • "I always use a Date table for accurate time intelligence in DAX."

  3. Star Schema:

    • Drop a term: "I structure data into fact/dim tables for efficiency."

  4. Close with Impact:

    • *"This helps teams cut analysis time by 30% and focus on high-priority regions."*


🔑 Bonus: 10-Second Summary

"Connect data → Crunch DAX → Craft model → VISUAL dashboard. Focus on KPIs, interactivity, and clean design."

This sticks in your brain and covers everything interviewers want to hear. Adapt it with your experience! 😊


DASH-SALES Framework (Easy to Recall)

Data → Analyze → Structure → Hierarchy → Select Visuals → Arrange → Layer Interactivity → Enhance → Share

"I start by collecting and cleaning data in Power Query (D), 

then align on KPIs with stakeholders (A). 

Next, I structure the data model (S), 

add hierarchies and DAX measures (H), 

and select visuals like cards and line charts (S). 

I arrange them logically (A), 

add filters for interactivity (L), 

enhance with formatting (E), 

and finally share the dashboard (S). For sales, 

I focus on trends, 

regional performance, and YoY growth."


No comments:

Post a Comment

Python using AI

  Python using AI - Prompts & Codes Tools useful for Python + AI ChatGPT - https://chatgpt.com/ Claude AI - https://claude.ai/new ...