Storytelling Using Text Data

  • Murugan Anandarajan
  • Chelsey Hill
  • Thomas Nolan
Part of the Advances in Analytics and Data Science book series (AADS, volume 2)


This chapter explores the concept of data storytelling, an approach used to communicate insights to an audience to inform, influence, and spur action. A storytelling framework is included for reference and can be used to develop, focus, and deliver the most important concepts from an analysis that should be conveyed within a narrative.


Storytelling Insights Narrative Reporting 



The authors thank Diana Jones, Associate Director of the Business Analytics Solutions Center and the Dornsife Office for Experiential Learning, at the LeBow College of Business, Drexel University for contributing this chapter to the book.


  1. Aaker, J. (2012). How to harness stories in business. Stanford Business School. Retrieved May 29, 2018, from
  2. Dykes, B. (2016, March 31). Data storytelling: The essential data science skill everyone needs, Forbes. Retrieved May 29, 2018, from
  3. Gallo, C. (2015, December 11). Bill and Melinda Gates brilliantly explain complex stuff in simple words. Retrieved May 29, 2018, from

Further Reading

  1. Gabriel, Y. (2000). Storytelling in organizations: Facts, fictions, and fantasies. Oxford: Oxford University Press.CrossRefGoogle Scholar
  2. Gargiulo, T. L. (2005). The strategic use of stories in organizational communication and learning. Armonk: M.E Sharpe.Google Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Murugan Anandarajan
    • 1
  • Chelsey Hill
    • 2
  • Thomas Nolan
    • 3
  1. 1.LeBow College of BusinessDrexel UniversityPhiladelphiaUSA
  2. 2.Feliciano School of BusinessMontclair State UniversityMontclairUSA
  3. 3.Mercury Data ScienceHoustonUSA

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