The tendency to narrate stories and the ability to appreciate them is one of the things that sets humans apart from other beings. Stories are one of the easiest ways for humans to transfer ideas. So it’s no wonder organisations heavily use storytelling to convey ideas to their clients, partners, and other stakeholders to bring them to the same level of understanding of the data at hand.
Data storytelling is the process of telling a story with data and conveying the ideas they contain so they can be easily understood and interpreted by the target audience.
How to Make Sense of Data
Primary data analysis only helps businesses to find meaning in data. However, to put the data to the best use, their audience must also be able to make sense of it. That’s the job of data storytelling, which aims to present the data using a narrative that is easily recognisable and accepted by the audience.
Data storytelling has four key components:
The primary component or the raw material for data storytelling is data itself. It is the data that you want to present to your audience so they will easily understand it.
It is also essential for the data and its presentation to be relevant to the context. If the data doesn’t relate to the situation in question or the audience’s beliefs and past experiences, it will not help in data storytelling.
Data visualisation is an indispensable component used in analysing and interpreting data regardless of whether you want to tell a story. And it becomes even more important in storytelling. Visualisation helps you present data in an understandable format using visual elements such as charts, pictures, graphs, and other design elements.
Data visualisation alone cannot achieve good data storytelling. The narrative is the most critical component that transforms simple data presentation into data storytelling. This is where you present data in the form of a story, making it exciting and easy to understand for your audience.