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📂 Power BI File: https://mainstack.store/datachy/tj4GR...
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📚 Recommended courses on Datacamp:
Data analyst in Power BI: https://datacamp.pxf.io/c/6665278/312...
PL-300: Microsoft Power BI Data Analyst: https://datacamp.pxf.io/c/6665278/312...
SQL Fundamentals: https://datacamp.pxf.io/c/6665278/312...
Python Data Fundamentals: https://datacamp.pxf.io/c/6665278/312...
Data Analyst in Python: https://datacamp.pxf.io/c/6665278/312...
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📂 Resources used in this Tutorial
🔥You can download this Power BI file Here!
https://mainstack.store/datachy/tj4GR...
📁 Dataset - https://datachy-2.kit.com/customerana...
📥 How to Create Date Table : • How to CREATE DATE TABLE in Power BI: Ste...
Icon website- www. icons8.com
📊 Watch More Power BI Project Tutorials: • Power BI Projects Playlist | End-to-End Po...
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Power BI Project : CUSTOMER ANALYTICS || RFM CUSTOMER SEGMENTATION|| Power BI Dashboard Tutorial
In this video, you’ll learn how to build a complete Customer Analytics Dashboard in Power BI — from start to finish.
This 3-page interactive report helps businesses analyze customer behavior, segment audiences with the RFM (Recency, Frequency, Monetary) model, and make smarter marketing decisions.
Whether you’re a data analyst, Power BI developer, or business professional, this tutorial will guide you through every step — from data cleaning to dashboard design — using Power Query, DAX, and professional visuals.
🔍 What You’ll Learn
1️⃣ Data Preparation & RFM Modeling
Clean and transform raw sales data in Power Query
Apply the RFM segmentation method to rank customers by value
Write DAX measures for Recency, Frequency, and Monetary scores
2️⃣ Dashboard Design & Visuals
Create visual insights using bar, doughnut, and column charts
Build pages for Customer Segmentation, Demographics, and Details
Use drillthrough pages to explore individual customer profiles
Design a custom PowerPoint background for a professional look
3️⃣ Interactivity & Navigation
Add slicers to filter by customer group, date, or region
Use icons and buttons for seamless navigation
Apply bookmarks and tooltips for smart interactivity
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CHAPTERS
0:00 Intro
3:20 Create Background on Power Point
8:30 Import Dataset and Data Transformation
17:07 RFM Analysis
28:40 Data Visualization