There is always a story to discover in data. But analyzing and understanding what the data is trying to reveal takes skills and maybe a good story teller. Analytics Insight brought this topic to us in their article, “What To Do To Become a Data Storyteller? A Complete Guide.”
Data storytelling is a methodology for communicating information, tailored to a specific audience, with a compelling narrative. As humans, we are naturally hard-wired to share stories as a means of sharing information.
As a career, data storytellers are responsible for bringing data to life. They are responsible for analyzing data, mapping how the metrics are connected to the objectives of a business, preparing an engaging story and presenting the insights creatively. To instantly understand data without the use of dashboards can help suggest better decisions.
Facts simply present data; whereas, a story’s narrative provides context, which augments our understanding and drives valuable insights.
At the end of the day, data needs to be accessible and, that happens with a strong, standards-based taxonomy. Access Innovations is one of a very small number of companies able to help its clients generate ANSI/ISO/W3C-compliant taxonomies and associated rule bases for machine-assisted indexing.
Melody K. Smith
Sponsored by Access Innovations, the intelligence and the technology behind world-class explainable AI solutions.
