Kansas, Memphis, data: value and liability

I ended up watching the Kansas-Memphis game. The first college basketball game I've watched this year. Nevertheless, I made many predictions. Most of which were wrong.

The one prediction I was most confident about was when Kansas made the 3-point shot in the last seconds, tying the game. At that point, it was absolutely clear to me that they would win the game. I had no data, no context, no history, but it didn't matter. All I had to do was look at the faces of the teams, and it was so clear who would perform better in the next 5 minutes. I didn't need historical performance data of any kind.

Companies have so much customer data these days. These data seems valuable, and worth storing, even though their value isn't immediately apparent. But I wonder if we're forgetting that data in isolation might not be marginally that valuable any more, and further, that firms need to understand how to associate a data trail with a conversation and a person before making a business decision. And if they don't, while they might anticipate value from mining the data in the future, perhaps they shouldn't be keeping the data, because it could end up being a liability to them. As Professor Vasant Dhar and I have discussed and written about in the past, firms may well need to rethink their "data valuation" models and strategies.

Just one dimension of a much larger discussion about how firms should manage their customer data.