5 ways to design data

"Design" has a nice ring to it. The word is everywhere, found ubiquitously on About Us pages, up there with "machine learning" and "culture" as words that signal something, but mean nothing. Or everything. Or both.

For data practitioners, "design" is often pigeon-holed as visualization design - green means "positive trend;" dashed lines indicate a previous period; we play with type styles, legend placement, and three-dimensional charts because it's there, not necessarily because we should.

But design is more than decoration. It's data storytelling and eye candy that's actually good for you. For analysts, marketers, and executives, there are design principles that live above rounded corners and pixel nudging that can be applied to any data project and every canvas.

We'll spend a short-but-sweet 25 minutes moving through five design principles:

1. Draw Focus
2. Get Organized
3. Create Context
4. Develop Acts
5. Build Systems

From there, we'll open the floor for questions and commentary. Hope to see you there!