Ten story metrics for organizations

Mike Bonifer, Nazanin Tourani

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Quantum storytellers understand that there are infinite patterns in large data-sets that might be labeled âïœstoriesâïï 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 frame¬work that creates shared understanding of stories at workplace. The chapter proposes the metrics to launch and apply the analytic tools.

Original languageEnglish (US)
Title of host publicationDeeper City
Subtitle of host publicationCollective Intelligence and the Pathways from Smart to Wise
PublisherTaylor and Francis
Pages281-294
Number of pages14
ISBN (Print)9780367024581
StatePublished - May 22 2020

All Science Journal Classification (ASJC) codes

  • Engineering(all)
  • Arts and Humanities(all)

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