https://github.com/shellynagar27/mobile-sales-analysis
Analyzed 2024 mobile sales data to uncover product trends, customer behavior, and regional insights using Power BI dashboards and structured data modeling.
https://github.com/shellynagar27/mobile-sales-analysis
cleaning-data data-analysis data-visualization dax eda figma modelling powerbi powerquery storytelling wireframe
Last synced: 5 months ago
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Analyzed 2024 mobile sales data to uncover product trends, customer behavior, and regional insights using Power BI dashboards and structured data modeling.
- Host: GitHub
- URL: https://github.com/shellynagar27/mobile-sales-analysis
- Owner: shellynagar27
- Created: 2025-05-12T13:38:55.000Z (5 months ago)
- Default Branch: main
- Last Pushed: 2025-05-15T19:01:57.000Z (5 months ago)
- Last Synced: 2025-05-15T20:20:02.213Z (5 months ago)
- Topics: cleaning-data, data-analysis, data-visualization, dax, eda, figma, modelling, powerbi, powerquery, storytelling, wireframe
- Homepage:
- Size: 5.86 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# 📱 Mobile Sales Analysis | Onyx Data Challenge – May 2024
## 🧠 Challenge Overview
This project was submitted as part of the **May 2024 #DataDNA Challenge** hosted by [Onyx Data](https://datadna.onyxdata.co.uk/). The challenge involved analyzing mobile phone sales data from a global retailer, with the goal of uncovering key business insights related to:
- **Top-selling products by region**
- **Customer demographics and behavior**
- **Sales trends across channels, cities, and countries**
- **Product preferences by age, gender, and OS type**
- **Revenue breakdowns and monthly performance**
- [LinkedIn Post](https://www.linkedin.com/posts/shellynagar_datadna-powerbi-dataanalytics-activity-7328852919359819776-4JsD?utm_source=share&utm_medium=member_desktop&rcm=ACoAACm_MdkBAINlDpBdpb0l7ExWMWsm7jLltdM)
- [Live Dashboard]()
---
## 📂 Dataset Details
The dataset provided included sales records for mobile phones in 2024 and covered:
- **Product specs**: Brand, Model, Storage Size, Color, OS (Android/iOS)
- **Sales data**: Price, Revenue, Units Sold, Date, Channel (Online/Partner/In-store), Payment Type
- **Customer demographics**: Age group, Gender
- **Geography**: Country and City of sale
---
## 🛠️ Tools & Technologies
- **Power BI** – for dashboard development and data storytelling
- **Power Query** – for data cleaning and transformation
- **DAX (Data Analysis Expressions)** – for creating calculated columns and measures
- **Star Schema** – for structured data modeling
- **Field Parameters** – for dynamic visuals and filtering
- **Excel** – initial data exploration
- **Figma** - for wireframing
- **Pinterest** - color palette selection
- **Flaticon & Freepik** - for icons & illustrations
---
## 📊 Methodology
1. **Data Exploration & Cleaning**
- Performed anomaly checks and cleanup in **Power Query**
- Applied normalization techniques and created a **date dimension table (dim_calendar)**
2. **Data Modeling**
- Built a **star schema** model to ensure clean relationships between fact and dimension tables
- Ensured proper granularity and data integrity through relational modeling
3. **Dashboard Design**
Developed a **4-page Power BI dashboard** for analytical storytelling:
- **Page 1: Sales Summary** – High-level KPIs, trends and summary of other sections
- **Page 2: Product Analysis** – Brand, model, storage, color, OS breakdown
- **Page 3: Demographic Analysis** – Age group & gender-based insights
- **Page 4: Sales Channel Insights** – Channel-wise and payment method wise breakdown
---
## 📌 Key Insights
> _To be added_
---
## 📷 Dashboard Preview
---
## 🗺️ Data Model Overview
---
## 📎 Submission Details
- This project is part of the **#DataDNA Challenge – May 2024** hosted by **@OnyxData**
- Visualization created in **Power BI**
- Challenge focus: **Sales Analytics**, **Customer Behavior**, **Market Trends**
---
## 💬 Connect With Me
I'm always open to feedback, collaborations, and new opportunities in the **Data & Analytics** domain.
- 🔗 [LinkedIn Profile](https://www.linkedin.com/in/shellynagar/)
- 📧 [shelly.nagar@outlook.com](shelly.nagar@outlook.com)
- 🌐 [Portfolio Website](https://codebasics.io/portfolio/Shelly-Nagar)
- [novypro profile](https://my.novypro.com/shelly-nagar)
---
## 🏁 Conclusion
This challenge was a great opportunity to sharpen my end-to-end analytics workflow – from data wrangling to storytelling. Thanks to @OnyxData and partners for organizing such an enriching experience!