Why Data Storytelling?
Data storytelling gives data a clear and convincing voice, which is an important skill to convert insights into action. To get the most out of data, not just 'hard' data analysis abilities, but also soft skills, are required.
What Is Data Storytelling?
Data storytelling is the presentation of data analysis findings in layman's terms. This aids in contextualising data findings and encouraging stakeholders to act.
3 Components
A data story is more than just visually appealing data visualisations; it also includes a storyline to engage non-experts.
- Data: A data story is built on a thorough data analysis of correct, complete data.
- Storyline: This combines insights and context to generate a message that target audiences can understand.
- Visualisations Displaying data graphically to clarify insights for a wide audience.: Images that assist explain and remember the message.
When a story is linked to data, it helps to explain to the audience what is occurring in the data and why a certain insight is essential.
Data visualisation can enlighten audience insights that they would not have seen otherwise. Without data visualisations, many interesting patterns and outliers in the data would stay hidden between the numbers in a table.
Finally, when a story and an image are combined, they may engage or even entertain an audience. The appropriate data, story, and images, when combined, provide a data story that knows how to transform insights into actions.
Advantages Data Storytelling
- Memorability: According to studies, people recall stories far better than data.
- Persuasiveness: In a test of two brochure variations for a nonprofit organisation, the story-based version garnered twice as many donations as the infographic version. Various statistics on the situation of African children were far less persuasive than the personal experience of a seven-year-old Mali child.
- Involvement: According to research, individuals lose their intellectual alertness and become less critical and sceptical of stories. Rather of focusing on little details, people want to see where the story leads them. People have an opposite tendency when judging statistics.