GLOSSARY

Reporting Infrastructure

Reporting infrastructure is the end-to-end stack — warehouse, dbt, semantic layer, BI frontend, observability — that produces governed, repeatable reports.

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Quick answer
Reporting infrastructure is the stack of pipelines, models, metrics definitions, dashboards, and governance that turns operational data into decision-ready reports on a reliable cadence. It is the layer between the data warehouse and the leaders who use numbers to run the business, and it collapses ad-hoc analyst heroics into a governed, sustainable layer with named metric owners.

WHAT IT IS

A modern reporting stack pairs a cloud warehouse or lakehouse (Snowflake, BigQuery, Databricks, Redshift) with transformation tooling (dbt), a semantic/metric layer (Cube, dbt Semantic Layer, LookML, Metriql, Microsoft Fabric), a BI frontend (Looker, Power BI, Tableau, Metabase, ThoughtSpot), and observability (Monte Carlo, Soda, Anomalo). The semantic layer is the linchpin — it's where 'revenue,' 'active user,' and 'churn' are defined once and reused everywhere.

HOW IT WORKS

The objective is that any stakeholder, asking a standard business question, gets the same answer — no matter which dashboard or analyst they ask. Without that, leadership meetings derail on definition disagreements instead of decisions.

WHEN TO USE

Invest in reporting infrastructure when multiple teams disagree on basic numbers, when spreadsheet sprawl is compounding, or when audit/regulator scrutiny requires defensible lineage and controls.

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Related questions.

What is reporting infrastructure?
Reporting infrastructure is the stack of pipelines, models, metrics definitions, dashboards, and governance that turns operational data into decision-ready reports on a reliable cadence. It is the layer between the data warehouse and the leaders who use numbers to run the business.
Why is reporting infrastructure a bottleneck?
Because most organizations accumulate reports faster than they retire them, build competing metric definitions across teams, and rely on heroic analysts to produce board-ready numbers each cycle. Reporting infrastructure collapses that complexity into a governed, sustainable layer.
What does modern reporting infrastructure look like?
A cloud warehouse as the source of truth, a semantic layer (dbt metrics, LookML, Cube) that defines every metric once, a standard dashboarding tool (Looker, Power BI, Tableau) that reads the semantic layer, and ad-hoc analytics tools (Hex, Mode, Jupyter) that share the same definitions.
How is reporting infrastructure governed?
Through a metrics catalog with owners, a change-management process for metric definitions, and regular retirement of dashboards that no one uses. Without governance, the reporting layer ages into a graveyard of stale charts and contradictory numbers.
How does NUUN Digital build reporting infrastructure?
We standardize on a semantic layer, document every metric with an owner and formula, retire stale dashboards as part of each engagement, and measure adoption — dashboards with zero views are deleted, not preserved.

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