The explosion of operational data needs a different kind of contextual analysis to result in actionable insights. Streaming data has immense richness that can be extremely valuable if one could analyze it in a timely fashion. Learning from data, however, needs augmentation from human expertise and support of scientific modeling to become transformative. Without the combined power of multi-context reasoning, expert systems and modeling, most data investment lack the high confidence causal inference that decision making depends on. By fusing human and organizational expertise with the analytical power of big data, the precision of scientific modeling and the rigor of multi-context reasoning, Albeado's PRISM based solutions reveal significant new insights that would otherwise be inaccessible to either human or machine alone.