Modern businesses collect and analyze a tremendous amount of data. Constructing a story from the data is a complex task. It’s important that you focus on the most relevant information for your narrative. Tangential or irrelevant data can cause confusion and distract your audience. Additionally, trends and correlations can change quickly. Using augmented analytics, ThoughtSpot automatically alerts you of changes so that your data story is always current and relevant. Learn more:www.storytellingwithcharts.com
To tell a data story, you need to have a clear understanding of your audience and what they want to hear from the data you present. Audiences can range from engineers to executives, and each group will have different preferences in terms of how they want the data presented. For example, engineers will appreciate more technical details in their data stories while executives will prefer more simplified and easy-to-digest information with clear takeaways.
Data-Driven Decision-Making: The Role of Narrative in Business
Data stories must include both quantitative and qualitative data to make them compelling. Quantitative data can help highlight important insights and potential influencing factors, while qualitative data adds a more human element to your data communication.
Data storytelling relies on the ability to create a narrative from your data analysis and visualizations. It also depends on your industry or topic expertise and communication skills to craft your data points into a narrative that addresses the who, what, why, and how of a broader story. For example, a data visualization showing that sales of a certain product line has declined might be more impactful if it’s placed into context of a larger story about marketing campaigns and supply chain constraints that could be affecting sales.