Google Offered $10M for a Dying Airline's Data. How Can You Value Yours?

The increasing value of operational data is highlighted by a fictional case where Google bid $10 million for a bankrupt airline's emails and messages. This unstructured data is now highly sought after for training advanced AI models, particularly for reinforcement learning in complex decision-making environments. Organizations can value their own operational data using three primary methods: the income approach, the cost approach, and the market approach. The income approach estimates future revenue or cost savings, the cost approach uses storage or insurance costs as a proxy, and the market approach compares it to similar data sales, though all methods face challenges related to privacy and ownership.