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9 From knowledge to wisdom: Adding next steps

 

This chapter covers

  • Introducing wisdom and next steps
  • Reviewing all the case studies
  • Strategic placement of next steps

If you are reading this chapter, you have nearly climbed to the top of the DIKW pyramid and have built a fantastic chart. You should be delighted with your work and have probably already shown it to colleagues and perhaps even friends and relatives. It pains me, however, to tell you that your work is incomplete. The last piece is missing, the one that will transform your graph into a real story: wisdom. Wisdom is something very profound, which cannot be extracted simply from data. Wisdom also comes from one’s cultural background, experiences, and the ability to have good judgment. In this chapter, we will not make philosophical disquisitions on wisdom. Still, we will consider wisdom as the ability to propose the next steps for the audience to follow after interacting with our story. We will also use generative AI as a cultural background and shared experience to help us define the next steps.

In this chapter, we will start with the basic concepts behind wisdom and next steps (at the top of the DIKW pyramid in the context of data storytelling). Next, we will review all the case studies described in this book in the light of the defined concept of wisdom. Finally, we will describe how to strategically place the next steps in the story.

9.1 Introducing wisdom

9.1.1 Transforming knowledge into wisdom: Next steps

9.1.2 Using ChatGPT as a source of experience

9.1.3 Good judgment: Anchoring the action to an ethical framework

9.2 Case studies

9.2.1 Chapter 1: The dogs and cats campaign

9.2.2 Chapter 2: The tourist arrivals

9.2.3 Chapter 3: Population in North America

9.2.4 Chapter 4: Sport disciplines

9.2.5 Chapter 5: Homelessness

9.2.6 Chapter 5: Fake news

9.2.7 Chapters 6–8: The salmon aquaculture case study

9.3 Strategic placement of next steps

9.3.1 Title placement

9.3.2 Right placement

9.3.3 Below placement