What is "data storytelling"?

Data storytelling is the practice of using narrative techniques to articulate insights from data. This approach combines data analysis and visual storytelling to communicate complex information in an engaging and comprehensible manner. By integrating a narrative with data, it helps to convey not just the numerical findings, but also the significance and implications behind them, making it easier for audiences to understand the context and the story the data is telling.

This practice is particularly crucial in business analytics as it enables stakeholders to grasp insights more effectively, driving decision-making and strategy. Instead of merely presenting charts or numbers, data storytelling emphasizes the message and context, ultimately influencing how data-driven insights are perceived and acted upon.

The other choices pertain to more technical aspects of data management or reporting, which do not capture the essence of storytelling. For instance, creating data entry logs relates to the organization and documentation of data rather than conveying a narrative, automating data collection focuses on the efficiency of gathering data rather than interpreting it, and summarizing data for reports is more about condensing information rather than crafting a narrative around it.