Saved by phoebe and
You need to be able to draw insight and to structure that information such that people can then act on it. What is doing that? Today, transformation tools like dbt are doing that, if you take the lens of the data team really owning everything end-to-end, but I think also applications that are able to plug into the data warehouse, consume this raw i... See more
Jan-Erik Asplund • Earl Lee, co-founder and CEO of HeadsUp, on the modern data stack value chain
I like to think of data visualization as a story. The main character is the user, and we can go two ways. A story of charts and graphs might read a lot like a textbook; however, a story with context, relationships, interactions, patterns, and explanations reads like a novel.
Jeff Hammerbacher • Beautiful Data: The Stories Behind Elegant Data Solutions
The key takeaway isn’t just ‘tell a story with your data’—it’s that when the full story is told, the data disappears. You don’t see individual bricks; you see a house.
The same applies to strategy. We’re often asked to include stats or data as proof, but strategy is built from many interconnected pieces of information. Isolating a single brick doesn... See more
The same applies to strategy. We’re often asked to include stats or data as proof, but strategy is built from many interconnected pieces of information. Isolating a single brick doesn... See more
{*}SCRAPS v.176
A visualization of an idea that’s not connected to statistical data. Often uses metaphors, such as trees, or processes, like cycles. Examples include organizational charts, process diagrams, and this 2×2 matrix itself. Idea generation Rapidly sketched concepts for visualizing ideas not connected to statistical data. Often done in groups as brainsto
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