How do you get to new ideas when data is always looking back?
In this latest Data Duets post, we discuss a case from United Airlines and share five key lessons from an interview with Patrick Quayle, Senior VP of Global Network Planning.
The post explores how to go beyond historical data by using:
- Transfer learning and clustering
- Data triangulation (Spoiler: HBO’s White Lotus informs a business strategy here)
- More frequent experimentation
- Real-time falsification of new ideas
- Combining data science with the art of creativity
Our Director’s Cut expands the discussion to offer insights for retail merchandising.
Enjoy the read and feel free to leave your comments on LinkedIn here.