SQL Business Case Studies

A visual portfolio of SQL analytics case studies inspired by real-world business scenarios from leading technology companies including Meta, Apple, Amazon, Netflix, Google, Microsoft, OpenAI, LinkedIn, PayPal, and Airbnb.

This repository documents my ongoing progress through an advanced SQL analytics challenge focused on product analytics, recommendation systems, marketing performance, engagement metrics, business intelligence, and operational analytics.

Rather than presenting isolated SQL scripts, this project emphasizes business context, analytical thinking, KPI interpretation, and visually structured reporting.

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Featured Case Studies

Apple Supply Chain	Netflix Recommendation Analytics

Google Marketplace Conversion	Google Pay Security Analytics

OpenAI ChatGPT Query Analytics	OpenAI Codex Productivity

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SQL Skills Demonstrated

• Complex JOINs
• CTEs (Common Table Expressions)
• Aggregations & Grouping
• CASE WHEN Logic
• Ranking & Sorting
• Window Functions
• NULL Handling
• Conditional Aggregation
• KPI Calculations
• Date & Time Filtering
• Recommendation System Analytics
• Conversion Rate Analysis
• Product Usage Analytics
• User Engagement Metrics
• Behavioral Analytics
• Business Intelligence Reporting

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Analytics Domains Covered

Product Analytics

• recommendation systems
• user engagement
• streaming behavior
• personalization systems
• feature interaction analysis

Marketing Analytics

• ad performance
• audience segmentation
• conversion analysis
• ROI-focused reporting

Business Analytics

• operational performance
• supplier activity
• transaction reliability
• travel cost optimization

Platform & AI Analytics

• marketplace conversion
• developer productivity
• AI interaction analysis
• security & risk analytics

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Challenge Progress

• Completed Case Studies: 20
• Status: In Progress
• New business case studies are continuously added as the challenge progresses.

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Part 01 — Days 01–10

Day	Company	Case Study	Focus Area
01	Meta	AR Filters Performance	Marketing Analytics
02	Meta	Custom Audiences ROI	Advertising Performance
03	Apple	Supply Chain Procurement	Operations Analytics
04	Apple	Music Recommendation Efficiency	Recommendation Systems
05	Amazon	Music Playlist Engagement	User Engagement
06	Apple	Artist Streaming Analysis	Recommendation Analytics
07	Netflix	Content Recommendation Impact	Watch-Time Analytics
08	Google	App Marketplace Conversion	Conversion Analytics
09	Meta	Events Recommendation Relevance	Behavioral Analytics
10	Amazon	Devices Usage Patterns	Product Usage Analytics

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Part 02 — Days 11–20

Day	Company	Case Study	Focus Area
11	Amazon	Fresh Reorder Frequency	Customer Behavior
12	Apple	Mac User Engagement Patterns	Product Engagement
13	Meta	Facebook Demographic Sharing	Demographic Analytics
14	Google	Pay Transaction Security Success	Payment Analytics
15	OpenAI	ChatGPT Query Domains	AI Product Analytics
16	Microsoft	Teams Security Risk Analysis	Collaboration Analytics
17	PayPal	Venmo Social Sharing Retention	Retention Analytics
18	OpenAI	Codex Developer Productivity	Developer Analytics
19	LinkedIn	Endorsement Impact Analysis	Professional Network Analytics
20	Airbnb	Corporate Travel Cost Optimization	Business Optimization

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Reports

Part 01 — Days 01–10

• Day 01 — Meta AR Filters Performance
• Day 02 — Meta Custom Audiences ROI
• Day 03 — Apple Supply Chain Procurement
• Day 04 — Apple Music Recommendation Efficiency
• Day 05 — Amazon Music Playlist Engagement
• Day 06 — Apple Music Artist Streaming Analysis
• Day 07 — Netflix Content Recommendation Impact
• Day 08 — Google App Marketplace Conversion
• Day 09 — Meta Events Recommendation Relevance
• Day 10 — Amazon Devices Usage Patterns

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Part 02 — Days 11–20

• Day 11 — Amazon Fresh Reorder Frequency
• Day 12 — Apple Mac User Engagement Patterns
• Day 13 — Meta Facebook Demographic Sharing
• Day 14 — Google Pay Transaction Security Success
• Day 15 — OpenAI ChatGPT Query Domains
• Day 16 — Microsoft Teams Security Risk Analysis
• Day 17 — PayPal Venmo Social Sharing Retention
• Day 18 — OpenAI Codex Developer Productivity
• Day 19 — LinkedIn Endorsement Impact Analysis
• Day 20 — Airbnb Corporate Travel Cost Optimization

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Repository Structure

sql_business_case_studies/
│
├── assets/
│   ├── banner/
│   └── previews/
│
├── visual_reports/
│   ├── Part_01_Days_01_10/
│   └── Part_02_Days_11_20/
│
└── docs/