Data Analytics Storytelling
data analytics storytelling is a way of framing the results of your data analyses in a narrative that is easy for your audience to understand. It includes a series of steps to collect, collate and interpret your data in order to create a story that will engage your audience and inspire them to take action.
While it may seem obvious that a story is the best way to convey your data analysis, many business leaders struggle to produce effective data stories because they don’t have the right knowledge or training. This is why the need for data storytelling skills has never been greater.
The Art of Data Analytics Storytelling: Turning Numbers into Narratives
A well-structured data story can make all the difference in how your audience perceives and interacts with your information. It can also help them connect the new insights with things they already know, making it easier for them to remember and apply your analysis to their work.
To tell a good data story, start by identifying who your key audience is and what their backgrounds and knowledge level are. This will help you decide how technical or complex to keep your data presentation and what components of your analysis are most important for them to grasp.
Once you have a clear understanding of your audience, focus on the ‘aha’ insights that are most important for them to learn. Avoid overwhelming your audience with too much information, which can be distracting and confusing. Ideally, your story should be built around the central theme of change you want to see in your audience’s behavior.