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Insights on business metrics, analytics, and data strategy.
Data Quality vs Metric Quality: The Gap Nobody's Talking About
Your data quality tools monitor pipelines. But who audits your metric definitions? Data quality and metric quality are different problems — and solving one doesn't fix the other.
Metric Governance vs Data Governance: What's the Difference?
Data governance manages data availability, quality, and compliance. Metric governance audits the decisions behind metric definitions. They're complementary but distinct.
SaaS Metric Definitions: The Complete Guide to Churn, CAC, NRR, MRR, LTV
The definitive guide to SaaS metric definitions. For each metric — churn, CAC, NRR, MRR, and LTV — we cover the formula, the hidden decisions, common mistakes, and benchmarks.
Your Semantic Layer Solves Half the Problem. Here's the Other Half.
Semantic layers like dbt Metrics, Cube, and MetricFlow standardize how metrics are calculated. But they don't audit whether the definition is complete. Here's the missing piece.
What Your dbt Model Doesn't Tell You About Your Metrics
dbt transformed how teams build data pipelines. But your dbt model encodes decisions without auditing them. Here are 7 things your dbt project is missing.
Why Your Dashboard Numbers Don't Match (It's Not a Data Bug)
When the CEO's churn doesn't match the VP of Product's number, everyone blames the data. But usually the data is fine — the definitions are different.
Data as a Product: A Complete Guide to Building Data Products That Teams Actually Trust
Learn how leading organizations like Netflix apply product thinking to data. This comprehensive guide covers the principles, frameworks, and practical strategies for treating your data assets as first-class products.
The Decision Graph: Our Vision for Data-Validated Metric Analysis
Our roadmap for transforming AI-generated metric analysis into data-validated insights backed by real user data. See how the Decision Graph will work.
The Complete Guide to Defining Business Metrics
Learn how to create precise, unambiguous metric definitions that drive consistent decision-making across your organization. Includes frameworks, real-world examples, and implementation checklists.
How to Build a Metrics Dashboard That People Actually Use
A practical guide to designing dashboards that drive decisions—covering what to include, how to structure it, and common mistakes to avoid.
Metrics Governance: How to Keep Your Data Trustworthy at Scale
A practical framework for metrics governance—establishing ownership, documentation standards, and change management processes that scale.
OKRs vs KPIs: Understanding When to Use Each
A clear explanation of the differences between OKRs and KPIs, when to use each framework, and how to make them work together.
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