Archive
Past Posts
Insights, tutorials, and updates from the Duodata team on building the universal metrics layer for modern data teams.
The Great Spreadsheet Wars: Why Your Modern Data Stack Still Needs a Translator
In this post, Shawn Johnson explains why analytics problems are really semantic problems. Different teams define the same metrics differently, dashboards drift, and trust erodes. He shows how a business-approved metrics layer brings shared meaning back to data, reduces governance friction, and gives AI the context it needs to produce reliable answers. The takeaway: speed without shared meaning is expensive chaos. Fix the context, not the pipes.
Creating a New Category: The Hardened Conceptual Metrics Layer
Metric chaos isn’t a dashboard problem; it’s a meaning problem. Learn why semantic drift happens, why AI amplifies it, and how a hardened conceptual metrics layer creates business-approved metrics everyone trusts.
Join The Metrics Letter
Practical notes on Business-Approved Metrics from the Duodata team.
One email when we publish. Unsubscribe anytime.
Learn more