Systems and methods that correlate among disparate pieces of synchronized data, collected from an “internal” data stream (e.g., history data collected from an industrial unit) and an “external” data stream (e.g., traffic data on network services). A process trend component that determines/predicts an outcome of an industrial process and facilitates diagnostics/prognostics of an industrial system. Accordingly, relations among various parameters can be discovered (e.g., dynamically) and proper corrective adjustments supplied to the industrial process. Such enables a tight control and short reaction time to process parameters, and for a modification thereof.