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STORYTELLING WITH DATA 

The purpose of data visualisation is to generate actionable insights with as minimal effort (the lowest level of “cognitive load” for users) as possible. Achieving this requires consideration of your specific audience (with their pain points/user stories) as well as consideration of how to provide sufficient context for your numbers/visuals without it becoming too much. In his Storytelling with Data sessions, Rishi outlines the types of reports you can build (“notes” for you, “essay” for an analytics audience and “children’s storybook” for the executives!) and highlights a number of key concepts to apply with examples.

Storytelling With Data (SQL Bits 2022)

Based on the article The Art of Storytelling: TED Talks vs Data Visualisation (https://www.linkedin.com/pulse/art-st...), Rishi walks through the core structure of a gripping story showing how this translates into Power BI using e.g. pre-attentive attributes, presenting data as arguments (Rather than just statements) and providing a ‘so what’ conclusion to the story.

He will use examples from the Power BI data stories gallery to highlight what we can learn about applying these techniques in real-life.

Note that this session was first presented at the Power Platform World Tour in London in August 2019 though has since been presented at other conferences including Data Weekender in November 2021

Downloadable

Presentation Slides 

The Art of Storytelling with Power BI

In this walk through the core structure of a gripping story showing how this translates into Power BI using e.g. pre-attentive attributes, presenting data as arguments (Rather than just statements) and providing a ‘so what’ conclusion to the story. He will use real examples from the Power BI data

Blog/Article: The art of storytelling - TED talks vs Data Visualisation

In this article Rishi discusses the key concepts of data storytelling with inspiration from Storytelling with Data (Cole Nussbaumer-Knafflic) and TED Talks Storytelling (Akash Karia) also using his Technology Trends report as an example

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