In my post So you want to be a (Big) Data Hero I highlighted several examples of impressive payback from projects around predictive maintenance of railcar wheels, hurricane tracking, crop insurance, water leakage etc. I listed other examples in a follow up post
As I continue research on my next book I have been posting several other examples on New Florence. The primary data sources used in each case are unique, the volumes of data and the scale of the data scientist staff is impressive and they are not just trying faster ERP reporting or pretty visualization here.
In my post So you want to be a (Big) Data Hero I highlighted several examples of impressive payback from projects around predictive maintenance of railcar wheels, hurricane tracking, crop insurance, water leakage etc. I listed other examples in a follow up post
As I continue research on my next book I have been posting several other examples on New Florence. The primary data sources used in each case are unique, the volumes of data and the scale of the data scientist staff is impressive and they are not just trying faster ERP reporting or pretty visualization here.
Even more data heroes
In my post So you want to be a (Big) Data Hero I highlighted several examples of impressive payback from projects around predictive maintenance of railcar wheels, hurricane tracking, crop insurance, water leakage etc. I listed other examples in a follow up post
As I continue research on my next book I have been posting several other examples on New Florence. The primary data sources used in each case are unique, the volumes of data and the scale of the data scientist staff is impressive and they are not just trying faster ERP reporting or pretty visualization here.
Here’s some more:
February 19, 2013 in Industry Commentary, Innovative Business Uses of Technology | Permalink