The Metrics Letter: KPI Governance for Data Teams
Get the Business-Approved Metrics Checklist (PDF) instantly, plus one short note whenever we publish.
The Metrics Letter
Written by the Duodata team
Duodata was started after we watched teams debate the "right" revenue number before high-stakes meetings. We've spent years building and shipping in the Snowflake, Databricks, and dbt ecosystems. The Metrics Letter includes notes from across the Duodata team and occasional guest notes from practitioners in the modern data stack.
What you'll get
Checklist PDF delivered immediately
Patterns for business-approved metric definitions
Lightweight governance to prevent semantic drift (BI and AI)
Who it's for
Data leaders, solution architects, and SI partners dealing with KPI disagreement, semantic drift, or metric chaos before scaling analytics and AI.
From the archive
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.
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