🎮 Gaming Performance Analytics – Excel Dashboard (Advanced Project)

📘 Project Overview

This project presents a high-performance Gaming Analytics Dashboard built entirely in Microsoft Excel.
It focuses on player performance, game category trends, revenue behavior, session activity, retention metrics, and regional engagement—helping gaming teams make data-driven decisions.

The dashboard provides real-time visibility, interactive slicers, and executive-grade KPIs, ideal for product managers, analysts, and business leaders.

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🧭 Table of Contents

• Project Objectives
• Key Features
• Data Model
• Dashboard Capabilities
• Dashboard Preview
• Badges
• File Structure
• Insights Generated
• Technical Skills Demonstrated
• How to Use
• Contributing
• Support
• Author

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🎯 Project Objectives

• Build a professional, interactive Gaming Analytics Dashboard in Excel
• Analyze performance by Game Category, Player Type, Region, Session Duration, and Revenue Stream
• Highlight trends, player behavior, retention metrics, and revenue patterns
• Provide KPIs for player insights, game optimization, and business growth

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⭐ Key Features

• Cleaned & structured gaming dataset
• Pivot-Model powered architecture
• Interactive slicers for Region, Category, Player Type, and Platform
• Performance breakdown including:
  • Game Category
  • Player Segment
  • Platform Type
  • Region
  • Revenue Stream
• KPI Cards for Revenue, Active Users, Average Session Duration, Retention %
• Trend charts, heatmaps & behavioral insights

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🗂 Data Model

Contains essential analytical fields such as:

• Player ID
• Region
• Game Category
• Platform
• Session Duration
• Active Hours
• Player Type
• Revenue
• Purchase Type
• Date

Data Transformation Included:
✔ Data Type Corrections
✔ Category Normalization
✔ Duration Conversions
✔ Segment Grouping
✔ Outlier Checks
✔ Logic-based calculated columns

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🖥 Dashboard Capabilities

• Fully interactive player & game performance tracking
• Revenue & session trend visualizations
• Player segmentation analysis
• Category-wise performance dashboard
• Heatmap for regional engagement
• Drill-down insights for platform & purchase trends
• Fast slicer-based decision engine

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📸 Dashboard Preview

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🏷️ Badges

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📁 File Structure

📂 Gaming Performance Analytics │ ├── Data → Cleaned & formatted dataset ├── Pivot Model → Aggregations & summary tables └── Dashboard → Final Excel dashboard UI

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🔍 Insights Generated

• Action & Strategy categories show highest engagement
• Desktop players exhibit longer session durations
• North America & Europe contribute majority of revenue
• Casual players have high volume but low ARPU (Avg Revenue Per User)
• Retention improves significantly for users with >5 sessions/week
• In-game purchases dominate revenue compared to subscriptions

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🛠 Technical Skills Demonstrated

• Excel Data Modeling
• Pivot Table Engineering
• Dashboard UI/UX Design
• Data Cleaning & Transformation
• Player Segmentation Logic
• Revenue & Trend Analysis
• Lookup Frameworks (XLOOKUP, INDEX/MATCH)
• KPI & Visualization Best Practices

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🚀 How to Use

1. Download the Excel dashboard
2. Open the Dashboard sheet
3. Use slicers (Category, Platform, Region, Player Type) to filter insights
4. Review KPIs and visual charts
5. Explore trends & performance metrics
6. Use findings for game strategy, marketing, and product decisions

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🤝 Contributing

Feel free to submit issues or enhancement suggestions.
Community contributions are welcome!

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⭐ Support

If this project helped you, please consider giving the repository a ⭐ star.
Your support motivates the creation of more advanced dashboards!

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👨‍💻 Author

Loganathan – Data Analyst | Excel & Power BI Specialist
Turning raw datasets into clear, actionable insights.

📩 Email: [email protected]