Curriculum
Advanced Dashboard Project is the capstone project of the Advanced Power BI section. This project combines DAX Fundamentals, Calculated Columns, Measures, Time Intelligence, Advanced DAX, KPI Dashboards, Business Intelligence Reporting, Publishing Reports, and Power BI Service into a complete enterprise-level business intelligence solution.
Organizations use Advanced Dashboard Project implementations to monitor business performance, track KPIs, analyze customer behavior, measure profitability, forecast growth, and support executive decision-making. Completing an Advanced Dashboard Project demonstrates the ability to build industry-ready Power BI solutions.
Advanced Dashboard Project is widely applicable in:
The Advanced Dashboard Project serves as a portfolio-ready project that showcases professional Power BI skills.
The Advanced Dashboard Project focuses on creating a comprehensive business intelligence dashboard for a retail company.
The dashboard will provide insights into:
The project follows a real-world business intelligence workflow used in modern organizations.
A retail company operates across multiple regions and sells hundreds of products.
Management wants answers to the following questions:
The goal is to develop an interactive executive dashboard using Power BI.
The Advanced Dashboard Project aims to:
These objectives align with real-world Power BI projects.
The project uses multiple datasets.
| Column | Description |
|---|---|
| Order ID | Unique Order Identifier |
| Order Date | Transaction Date |
| Revenue | Sales Revenue |
| Profit | Profit Amount |
| Quantity | Units Sold |
| Column | Description |
|---|---|
| Customer ID | Unique Customer Identifier |
| Customer Name | Customer Information |
| Region | Customer Region |
| Column | Description |
|---|---|
| Product ID | Product Identifier |
| Product Name | Product Information |
| Category | Product Category |
Applications:
Business intelligence.
Import data from:
Steps:
Open Power BI Desktop.
Select:
Get DataImport datasets.
Applications:
Data integration.
Use Power Query to:
Benefits:
Improved data quality.
Applications:
Data preparation.
Build a star schema model.
Structure:
Customer
|
Product --- Sales --- Date
|
RegionBenefits:
Improved reporting performance.
Applications:
Business analytics.
Connect tables using:
Benefits:
Accurate reporting.
Applications:
Data modeling.
The Advanced Dashboard Project requires multiple measures.
Total Revenue =
SUM(Sales[Revenue])Total Profit =
SUM(Sales[Profit])Total Orders =
COUNT(Sales[Order ID])Applications:
Executive reporting.
Profit Margin % =
DIVIDE(
[Total Profit],
[Total Revenue]
)
* 100Revenue Growth %Applications:
Performance tracking.
Create:
Applications:
Trend analysis.
Forecasting.
Dashboard KPI cards:
Total RevenueTotal ProfitCustomer CountRevenue Growth %Applications:
Executive monitoring.
Visualization:
Fields:
Purpose:
Analyze revenue growth trends.
Applications:
Business intelligence.
Visualization:
Fields:
Purpose:
Identify top-performing products.
Applications:
Sales analytics.
Visualization:
Fields:
Purpose:
Analyze geographic performance.
Applications:
Regional reporting.
Visualizations:
Applications:
Customer analytics.
Include slicers for:
Benefits:
Interactive exploration.
Applications:
Dashboard interactivity.
Examples:
RANKX()CALCULATE()DIVIDE()Applications:
Advanced analytics.
Recommended layout:
------------------------------------------------
| Revenue | Profit | Customers | Growth % |
------------------------------------------------
| Revenue Trend Analysis |
------------------------------------------------
| Product Analysis | Regional Performance |
------------------------------------------------
| Customer Analytics |
------------------------------------------------Applications:
Executive reporting.
Create pages for:
Applications:
Enterprise reporting.
Publish reports to:
Power BI ServiceApplications:
Cloud reporting.
Implement:
Applications:
Enterprise governance.
Refresh options:
Benefits:
Up-to-date reporting.
Applications:
Business intelligence.
The dashboard should answer:
Applications:
Strategic planning.
Based on dashboard findings:
Invest more in high-performing products.
Strengthen customer retention initiatives.
Expand in high-growth regions.
Optimize low-performing business areas.
These recommendations improve business performance.
Business Requirement
↓
Data Collection
↓
Data Transformation
↓
Data Modeling
↓
DAX Development
↓
Dashboard Design
↓
Business Intelligence Reporting
↓
Publishing Reports
↓
Power BI Service
↓
Business InsightsThis workflow mirrors real-world enterprise analytics projects.
Data Analysts use Advanced Dashboard Projects for:
Benefits:
Advanced business insights.
Business Analysts use Advanced Dashboard Projects for:
Benefits:
Improved decision-making.
Financial Analysts use Advanced Dashboard Projects for:
Benefits:
Enhanced financial visibility.
Industries using Advanced Dashboard Projects include:
These industries rely heavily on business intelligence.
Can reduce performance.
May overwhelm users.
Can expose sensitive data.
May reduce usability.
Avoiding these mistakes improves dashboard effectiveness.
Improve relevance.
Support decision-making.
Improve usability.
Ensure accuracy.
Increase adoption.
These practices support professional dashboard development.
Benefits include:
The Advanced Dashboard Project demonstrates enterprise-level analytics capabilities.
After completing this lesson, you will be able to:
An Advanced Dashboard Project is a complete business intelligence solution built using advanced Power BI concepts.
It demonstrates practical business intelligence and analytics skills.
DAX, Measures, KPI Dashboards, Time Intelligence, Reporting, and Power BI Service.
They help monitor business performance.
It supports trend analysis and forecasting.
They demonstrate real-world problem-solving and reporting capabilities.
It helps develop industry-ready analytics and business intelligence expertise.
It showcases the ability to build enterprise-grade reporting and business intelligence solutions.
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