From raw data to decision.
Modern data engineering, predictive models, and visualization. Cloud-agnostic, with a certified Tableau practice on the consumption layer.
Back to practicesData becomes value when someone decides from it. Everything before that is path — not destination.
The data industry spent a decade selling the path as if it were the destination. Warehouse, lake, lakehouse, catalog, lineage, governance — important pieces, but useless if the only decision drawn from them is "let's modernize the stack next quarter".
We deliver the data practice the other way around: we start from the decision that needs to happen and work back to the raw data. Dimensional modeling where it makes sense, lakehouse where it saves cost, dashboards only when they become action. Cloud-agnostic — we pick the right tool for the problem, not for the portfolio.
The consumption layer matters as much as the foundation. That's why we have a certified Tableau practice — not as a banner, but as a language to translate models into executive decisions. And we're honest: good BI is the one that kills the next dashboard, not the one that creates the twentieth.
Three fronts that cover ingestion to decision.
Data engineering
Modern data stack designed to scale without turning into debt. Pipelines, modeling, quality, documentation.
- Cloud-agnostic (Snowflake, BigQuery, Databricks)
- dbt as the modeling backbone
- Modern ELT, no fragile overnight ETL
- Data contracts between teams
Advanced analytics and insight
Predictive models, segmentation, propensity. Statistics applied to the problem, not the paper.
- Demand forecasting and time series
- Purchase/churn segmentation and propensity
- Recommendation and ranking
- Rigorous evaluation before production
Visualization and dashboards
Self-service BI designed to generate decisions, not vanity dashboards. Every view earns its place.
- Headline number before chart
- One-line comparative context
- Drill that ends in action
- Quality metric: decisions generated
Method 360 applied to Data.
Five verbs. The same method disciplines data pipelines, predictive models, and executive dashboards.
Our library on Data.
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