Analytics in the Wild | GMBA 621 Week 1

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Discover Predictive Analytics All Around You

Predictive analytics isn't just something data scientists do in labs — it's shaping your daily life in ways you probably haven't noticed. From the shows Netflix recommends to whether your credit card gets declined, predictions are everywhere.

Your mission: Explore 6 real-world scenarios and discover how companies use data to predict the future.

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Entertainment

Netflix & Spotify

🛒

Retail

Amazon & Target

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Finance

Banks & Credit Cards

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Healthcare

Hospitals & Insurance

🚗

Transportation

Uber & Airlines

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Social Media

Instagram & TikTok

Mission 1 of 6

Discoveries

Insight Streak

0 🔥

Missions

0/6

Entertainment

📍 The Scenario

💡 Analytics Insight

🏢 Real-World Example

🏆

Discovery Complete!

Total Points

Accuracy

Best Streak

🎓 Key Takeaways for Class

Predictive analytics uses historical data to forecast future outcomes
The three types: Classification (yes/no), Regression (how much), Clustering (what group)
Predictions are probabilities, not certainties — Netflix doesn't KNOW you'll like a show
The same techniques work across industries — fraud detection and medical diagnosis use similar methods!
Data quality determines prediction quality — garbage in, garbage out

📝 Your Assignment

Before class, identify 3 personal examples of predictive analytics you've encountered in your own life. Think about:

Recommendations you've received (apps, shopping, content)
Prices that seemed to change based on your behavior
Alerts or warnings you've gotten (fraud, health, weather)
Ads that felt eerily relevant to your life

Bring these examples to class — you'll share them with your team!

🌍 Analytics in the Wild

Discover Predictive Analytics All Around You

Entertainment

Retail

Finance

Healthcare

Transportation

Social Media

📍 The Scenario

💡 Analytics Insight

🏢 Real-World Example

Discovery Complete!

🎓 Key Takeaways for Class

📝 Your Assignment