Analytics insights from our team
Deep dives on metric attribution, warehouse-native analytics, and how data teams can spend less time answering "why did it change?"
Where analyst time actually goes: the attribution audit that changed how we work
A breakdown of where analytics time drains and how automating attribution reclaims it for higher-leverage work.
The warehouse-native analytics shift: what it means for your data stack
How running analytics in-warehouse rather than extracting data to a separate BI layer changes latency, cost, and governance.
NL querying for analytics teams: what works and what does not
An honest evaluation of where natural language querying delivers real value for data teams versus where it still requires SQL judgment.
A primer on segment contribution analysis for KPI decomposition
How to systematically break down a metric movement into its segment-level contributors without drowning in pivot tables.
Stakeholder reporting without the analyst queue
How automated report delivery reduces the back-and-forth between stakeholders and the data team while keeping context intact.
dbt metrics and the semantic layer: a practical guide for analytics engineers
How the dbt semantic layer changes metric governance and what it means to connect attribution tooling on top of it.
Anomaly detection that actually explains itself
Why flagging an anomaly is only half the problem and how attribution closes the loop between alert and root-cause answer.
AI analyst copilot vs. full automation: where does the human stay in the loop?
Comparing the trade-offs between AI-assisted analytics and fully automated attribution pipelines across different team maturity levels.
Redshift vs BigQuery vs Snowflake: analytics performance for attribution workloads
A technical comparison of how the major cloud warehouses handle the scan-heavy, multi-dimensional queries that attribution requires.
Building metrics-driven product teams that don't need an analyst for every question
How product managers can use attribution tooling to self-serve context on metric movements without analyst bottlenecks.
Schema changes are silently breaking your attribution. Here is how to catch them.
Why unnoticed schema drift causes attribution metrics to shift even when nothing in the business changed, and how to detect it.
Scoping read access for analytics tooling: the principle of least privilege in practice
How to grant analytics tools the minimum warehouse permissions they need while keeping audit logs clean and governance auditors happy.
Metric trees and KPI decomposition: from strategy to analysis in one diagram
How to build a metric tree that maps company-level KPIs to the granular dimensions where attribution can surface real insight.
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Articles on attribution, analytics engineering, and building data-informed organizations. No noise.
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