dbt Archives | MinervaDB

Demand forecasting pipeline for CPG organised by cadence: daily fact landing and reconciliation, weekly hierarchy, feature and forecast run, monthly backtest

Demand Forecasting Pipeline for CPG: 4 Proven Cadences from Retailer Feed to Reconciled Forecast

How we build a CPG demand forecasting pipeline by cadence: point-in-time facts, hierarchies and calendars, ClickHouse features, reconciled forecasts and a backtest gate.

Data quality SLOs for one dataset: consumers and consequences, five indicators with targets, observation log, error budget and burn-rate alerting

Data Quality SLOs: 5 Proven Indicators, Error Budgets and Burn-Rate Alerts on dbt and Airflow

Every data platform we take over has data quality checks. Hundreds of them, usually: not_null tests on every column, row-count assertions, a freshness dashboard nobody looks at, and a Slack channel where the failures scroll [...]

Metrics layer on dbt and MetricFlow: sources, marts, semantic models and metrics compiled into BI, notebook and decision API queries

Metrics Layer with dbt: 5 Proven Tests That Keep One Definition per Number

Ask three teams in the same company for last quarter's net revenue and you will usually get three numbers. Finance excludes returns booked after period close, marketing counts gross of discounts because that is what [...]

Retail Detail Strategy

Retail Data Strategy: 6 Proven Layers for Marketing and Sales Ops Analytics

A retail data strategy is not a tooling decision. It is a set of commitments about four facts that marketing and sales operations both depend on and rarely agree about: who the customer is, what [...]

Retail Analytics

Retail Data Analytics: Ultimate 2026 Modern Retail Stack

Retail data analytics is the difference between a merchandiser who reprices a slow-moving SKU on Tuesday morning and one who discovers the markdown opportunity in a month-end deck. Modern retail runs on a data platform, [...]

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