Customer Insights Dashboard in Power BI | SQL to Power BI End-to-End Tutorial
In this video, we will walk you through the entire process of creating a Customer Insights Dashboard in Power BI, starting from importing data from SQL to designing the final report. This step-by-step tutorial covers key DAX measures, data modelling, and visualization techniques to help you understand customer segments, repeat vs. new customers, and overall customer loyalty.
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What You’ll Learn:
How to import data from SQL into Power BI
Create calculated columns and measures using DAX
Design various visualizations like pie charts, donut charts, tables, and gauge charts
Best practices for building an interactive dashboard
Insights on customer behavior and sales performance
Resources:
Power BI file:
https://drive.google.com/drive/folder...
SQL scripts used in this video :
-- Create SalesOrders Table
CREATE TABLE SalesOrders (
OrderID INT PRIMARY KEY,
OrderDate DATE,
Region VARCHAR(50),
ProductName VARCHAR(100),
SalesAmount DECIMAL(10, 2),
CustomerID INT,
RepeatOrder BIT -- 1 for repeat customers, 0 for new customers
);
-- Insert Sample Data into SalesOrders
INSERT INTO SalesOrders (OrderID, OrderDate, Region, ProductName, SalesAmount, CustomerID, RepeatOrder)
VALUES
(1, '2024-01-01', 'North', 'Laptop', 1200.00, 101, 0),
(2, '2024-01-02', 'West', 'Smartphone', 800.00, 102, 1),
(3, '2024-01-03', 'East', 'Tablet', 400.00, 103, 0),
(4, '2024-01-04', 'South', 'Monitor', 300.00, 104, 0),
(5, '2024-01-05', 'North', 'Laptop', 1300.00, 101, 1),
(6, '2024-01-06', 'West', 'Smartphone', 750.00, 105, 0),
(7, '2024-01-07', 'East', 'Headphones', 100.00, 103, 1),
(8, '2024-01-08', 'South', 'Keyboard', 50.00, 104, 0),
(9, '2024-01-09', 'North', 'Tablet', 500.00, 106, 1),
(10, '2024-01-10', 'West', 'Laptop', 1400.00, 107, 0);
-- Create Customers Table
CREATE TABLE Customers (
CustomerID INT PRIMARY KEY,
CustomerName VARCHAR(100),
Age INT,
Region VARCHAR(50),
JoinDate DATE
);
-- Insert Sample Data into Customers
INSERT INTO Customers (CustomerID, CustomerName, Age, Region, JoinDate)
VALUES
(101, 'Alice Johnson', 35, 'North', '2023-05-15'),
(102, 'Bob Smith', 40, 'West', '2022-06-20'),
(103, 'Charlie Brown', 29, 'East', '2024-01-02'),
(104, 'Diana Ross', 50, 'South', '2021-11-10'),
(105, 'Eve Adams', 23, 'West', '2024-01-05'),
(106, 'Frank White', 42, 'North', '2023-03-19'),
(107, 'Grace Lee', 30, 'West', '2023-09-10');
select * from SalesOrders;
select * from Customers;
Customer Insights Dashboard
Power BI Dashboard
Sales Performance Dashboard
Sales Dashboard in Power BI
Power BI Tutorial
SQL to Power BI
DAX Measures in Power BI
Data Visualization
Business Intelligence
Customer Analytics
Power BI Reports
Data Analysis
Customer Segmentation
Repeat Customers
Power BI Visualizations