I work in a consultancy that works with companies who are trying to get more from their data and I'd say that the majority are barely scratching the surface in terms of predictive analytics. I think this is partly because they don't feel their data is ready, partly because they don't have the right internal skills and partly because they've not managed to get the value from predictive analytics in the past. The first 2 reasons I think can be fixed fairly easily by spending some time working with your data and getting better people. The 3rd is more about realising how to use predictive analytics correctly. For example, someone might say that sales are so volatile that only sales reps can predict sales and that no algorithm will do a better job.