What does "data storytelling" aim to achieve?

Data storytelling aims to convey insights and findings from data analysis in a compelling narrative format. This practice combines data visualization with narrative techniques, allowing a more engaging and understandable presentation of analytical results. It helps the audience, regardless of their data literacy levels, grasp complex information and see the relevance of data to real-world issues.

By turning data into a story, the core insights can be highlighted and contextualized, making it easier for decision-makers or stakeholders to understand the implications of the data. It emphasizes not just presenting numbers, but relating those numbers to experiences, trends, and context that resonate with the audience's familiarity and interests.

In contrast, the other options focus either on technical aspects of data handling, such as algorithm creation or report compilation, rather than on the communication aspect that data storytelling emphasizes. Training new employees in data processing, while important, does not address the narrative and insight-sharing goal that data storytelling uniquely fulfills.