Stories are powerful things. We've used them throughout history to capture attention, convey ideas, fire the imagination, and stir the soul. Data can be persuasive, but stories are much more. A well-told story is inspirational.
On the surface, business analytics appears to be the opposite of storytelling: quantitative instead of anecdotal. Yet quantities aren’t necessarily an ideal means to convey information. Not everyone is a quant who thinks natively in numbers. Some think in pictures and want to see the shape of things, thus the popularity of data visualization. Even more powerful than visualization, however, is the ability to connect visuals or other media to tell a story with data.
Storytellers are the next generation of business and data analysts. They neither dismiss the value of quantification nor overestimate the importance of visualization. In fact, they amplify the effects of quantification and storytelling media by scripting a story to communicate the what, when, where, who, and why of business circumstances and behaviors.
You Will Learn
- Four reasons to pursue the art of storytelling
- The differences between explanatory and exploratory stories
- How to choose the best media for storytelling
- How to find the stories in data
- How to compose captivating and compelling stories
- BI and analytics designers and developers; anyone interested in learning new and highly effective ways to communicate and share information