Having a good definition of the data life-cycle is a very important step. A lot of companies only do CRU but forget about the D because they feel that more data is more value. As you correctly infer at some point in time the value of the data no longer outweighs the liability and it should be deleted, and long before that it should probably be moved to a much harder to reach system that contains historical data.