Michael Driscoll recently wrote a nice blog article entitled the Three Skills of the Data Geeks in the Dataspora Blog. He lists this as studying, data munging and “story-telling”. ( A commenter adds a fourth: decision-making. ) I was excited to see that Driscoll included “story-telling”. I have long felt being able to relate a narrative around data and inference is an important talent. Driscoll, however, pulls his punch. He does not mean literal story-telling, he meant only visualization.
I can’t argue that creating striking visual representations is not an important. But the more general skill of story-teller is also important. Visualization is only part of the presentation that the data. I often meet talented analysts that have nailed Driscoll’s three sexy skills. Invariably, they have one or more advanced degrees and they have a ton of experience working data. They can implement algorithms, parse data. spin graphs with no problem. It is far rarer to meet someone who can tell the narrative and capture interest and excitement of the narrative whispered by data. The one who can is the complete geek.
There are many facets to relating a good story. You must sense the arc of drama, feel tension, contemplate historical context, promotes relevance and emote nuances. Narrative story-telling is not mechanical, it demands creativity, patience, effort, confidence and command of the language. It requires you to have a keen observation and know when an anecdote strengths or dilutes a conclusion. People are wired to respond to stories. Telling them well serves you in any field. This one especially.
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I sometimes find myself in the enviable position of looking for the next super-geek whether for Open Data or one of our large clients. When asked to give input on the process, I always stipulate two requirements. The candidates must submit two writing samples: one technical and one not. I can usually gauge from their resume or a quick conversation if they have the first three sexy skills. Figuring out if the grasp the narrative is much harder.
Invariably, I read the non-technical writing sample first. If the candidate has strong command of the language can relate technical (often boring) details in a compelling way and shows an interest in subjects outside the scope of his or her work, I know there is at least a latent potential to be that complete geek we all want on our staff or as colleagues.