“A major impediment to successfully implementing predictive analytics,” he continues, “is simply gaining access to enough relevant data. Obviously, the more data you have that is accurate, the better your prediction model will be. And accuracy is critical, as if the data is inaccurate, the predictions will inevitably be wrong, since if you put garbage in, you will get garbage out.”