High-impact data work isn’t just about churning out analysis; it’s about creating knowledge.
We built Hex to make data work impactful. By making it easy to tell a story with data, going from an analysis to an app that anyone can use. It’s a huge improvement over sending a spreadsheet, slide deck, or screenshot, and helps data better inform decision-making.
Mission accomplished, right? Kinda. See, analyses still live as one-off stories and insights. A Data Scientist might send around a link to a published Hex app, but then it lives as a standalone artifact, and can be tough to rediscover and find. We hear from teams who have published hundreds of apps using Hex (good!) but complain they get lost in a sea of insights (bad!).
As folks keep building more and more in Hex, it’s time to focus on the next step: creating knowledge.
Knowledge is the sum of facts, accumulated through inquiry and experience. It’s the forest for the trees. The bigger picture. The whole dataset.
Creating this kind of shared understanding is the real mission of a data team, or anyone doing analytical work at all. You may set out to answer a specific question, but what you really want to do is contribute to an organization’s knowledge: the set of things known to be true about the world.
This is especially important as an organization grows and evolves. New people join. Others leave. As questions arise, how do you know if you have looked into them before? Someone did an analysis about this once... do you have that link? The lack of organization and discoverability for previous work becomes painful.
The Knowledge Library is a new set of workflows in Hex that empower teams to create knowledge from their work. Let’s take a look!
First, projects can now be organized with metadata, which can be custom-configured by a Team admin.
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