Big data pros need to identify which data feedback loops in their machine learning applications can deliver sustainable differentiation through network effects. Starting early is critical because getting to scale is likely to create the "winner takes most" competitive dynamics that have become so common in tech industries. The biggest sin is to wait for the tooling to become automated enough for all competitors to jump in.