Ten Story Metrics for Organizations

Abstract

Abstract Quantum storytellers understand that there are infinite patterns in large datasets that might be labeled “stories” according to the terminology of large data analytics. Big Data analysts attempt to find background stories from data. Contrastingly, we as quantum storytellers, claim that data obtained from stories are more valuable to organizations than the stories produced by data. This approach, however, faces a major challenge: veracity of subjective story analysis. Accordingly, we propose 10 metrics for the analysis of stories and mining data from similar open-ended sources in order to develop a framework that creates shared understanding of stories at workplace. The chapter proposes the metrics to launch and apply the analytic tools.