https://github.com/samirasiavash/chinook-dashboard
An interactive and professional dashboard built with Power BI based on the well-known Chinook dataset. This dashboard provides comprehensive analysis of sales, customers, albums, and artists, enabling users to explore trends, key performance indicators (KPIs), and visual reports in an easy and insightful way.
https://github.com/samirasiavash/chinook-dashboard
business-intelligence chinook-database dashboard data-visualization power-bi power-bi-dashboard
Last synced: 3 months ago
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An interactive and professional dashboard built with Power BI based on the well-known Chinook dataset. This dashboard provides comprehensive analysis of sales, customers, albums, and artists, enabling users to explore trends, key performance indicators (KPIs), and visual reports in an easy and insightful way.
- Host: GitHub
- URL: https://github.com/samirasiavash/chinook-dashboard
- Owner: SamiraSiavash
- Created: 2025-07-04T20:03:45.000Z (3 months ago)
- Default Branch: main
- Last Pushed: 2025-07-04T20:33:12.000Z (3 months ago)
- Last Synced: 2025-07-04T21:30:39.733Z (3 months ago)
- Topics: business-intelligence, chinook-database, dashboard, data-visualization, power-bi, power-bi-dashboard
- Homepage:
- Size: 1.63 MB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# 🎵 Chinook Analytics Dashboard – Power BI
Interactive Power BI report built on the classic **Chinook** sample database.\
The dashboard explores sales, customers, albums, artists, tracks, and genres across multiple pages.
> **Repository structure**
>
> ```
> Chinook-dashboard/
> ├── Chinook.pbix # full Power BI report
> ├── Data/
> │ ├── Chinook.bak # SQL Server backup (main data source)
> │ └── Chinook.xlsx # optional Excel export for quick demo
> ├── Images/ # dashboard screenshots
> │ ├── 1.Overview.png
> │ ├── 2.Sales by Country.png
> │ ├── 3.Customers.png
> │ ├── 4.Genres.png
> │ ├── 5.Albums.png
> │ └── 6.Tracks.png
> └── README.md
> ```
---
## 📊 Dashboard pages & key insights
| Page | Highlights |
| -------------------- | ------------------------------------------------------------------------- |
| **Overview** | ‑ Total revenue & orders‑ KPI cards for customers, tracks, invoices |
| **Sales** | ‑ Revenue & invoices by billing country‑ Trend line of monthly sales |
| **Customers** | ‑ Top spenders‑ Customer count by country & city‑ Avg. spend per customer |
| **Sales Experts** | ‑ Top sales agents ranked by revenue‑ Sales & invoice count per agent‑ Customer location breakdown‑ Revenue trends by agent |
| **Genres & Artists** | ‑ Revenue by genre‑ Top-earning artists and albums |
---
## 📅 Data sources
| Source | Description | Location |
| ------------------------------ | ------------------------------------------------------------------------------------ | ------------------- |
| **SQL Server backup** | Primary data source used in the PBIX file; restore on any SQL Server 2019+ instance. | `Data/Chinook.bak` |
| **Excel export** | Lightweight snapshot of core tables for quick exploration without SQL Server. | `Data/Chinook.xlsx` |
---
## 🛠 Tools & techniques
- **Power BI Desktop**
- **SQL Server** (restore the `.bak` to re-use live database)
- **Power Query (M)** for extraction & transformation
- **Star-schema modelling** of Chinook tables
---
## 🚀 How to run locally
1. **With SQL Server**
1. Restore `Data/Chinook.bak` on a local SQL Server 2019+ instance.
2. Update the **Data Source Settings** in `Chinook.pbix` to point to your server.
3. Refresh—enjoy the full relational model.
2. **Quick demo (no SQL Server)**
1. Open `Chinook.pbix`, ignore missing SQL source.
2. Switch the queries to `Data/Chinook.xlsx` (already included) and refresh.
---
## 📦 Downloads
The full `.pbix` file is included in the repo and does not require a separate download.
---
## 👩💻 Author
**Samira Siavash**\
[LinkedIn](https://linkedin.com/in/samira-siavash) • [GitHub](https://github.com/SamiraSiavash)
---
## 📜 License
Distributed under the **MIT License**. See the `LICENSE` file for details.