Data storytelling

Data storytelling

1. Storytelling is an imperative and innovative pathway to enhance learning due to the fact that such activity prompts learners to reflect to construct meaning based on their observations and knowledge.

2. Memorability

   • A study by Stanford professor Chip Heath (Made to Stick author) found 63% could remember stories, but only 5% could remember a single statistic. While 2.5 statistics were used on average in the exercise and only 10% of the participants incorporated a story, the stories are what caught people’s attention.

3. Data storytelling is a methodology for communicating information, tailored to a specific audience, with a compelling narrative. It is the last ten feet of your data analysis and arguably the most important aspect.

4. Memorability

   • A study by Stanford professor Chip Heath (Made to Stick author) found 63% could remember stories, but only 5% could remember a single statistic. While 2.5 statistics were used on average in the exercise and only 10% of the participants incorporated a story, the stories are what caught people’s attention.

5. Data Visualization

   • visualization is an essential and very powerful part as a complement to analysis, to be able to condense large data sets into a single photo.

6. versatile

   • Because stories can be presented in many ways, it will be difficult for you to bore your audiences: you can use videos, gifs, articles, podcasts, ebooks, and many other formats.

7. what is it for

   • The intention that we pursue when using the storytelling technique is to generate a relationship beyond the mere transmission of a message to our audience, in this way, we will achieve that our brand is linked in the mind of the consumer to the values ​​that we treat in the story that we choose to treat it.