E3
Before anything gets rebuilt, someone should be able to say precisely what's wrong, what it's costing, and in what order to fix it. E3 is that, staged: evaluate the landscape, engineer the target model, execute the build. Three entry points — each one a complete engagement on its own, not a funnel.
Evaluate
$10,000
Findings in 3 weeks
A full audit of your data landscape — the bottlenecks, the risk, the cost — in priority order, with the numbers to back it.
- Data Quality & Reliability Assessment
- Cloud Warehouse Cost & Efficiency Audit
- Pipeline Architecture & Tech Debt Inventory
- Data Access & Security Compliance Review
A prioritized, risk-weighted report naming exactly what's wrong, what it's costing, and what to fix first — delivered in 3 weeks, yours to act on with or without us.
Evaluate + Engineer
$25,000
Model ready to build in 8 weeks
Everything in Evaluate, plus the design of the target model — the semantic layer, the schema, the contracts that hold it together.
- Data Quality & Reliability Assessment
- Cloud Warehouse Cost & Efficiency Audit
- Pipeline Architecture & Tech Debt Inventory
- Data Access & Security Compliance Review
- Enterprise Semantic Layer Design
- Core Dimensional Modeling & Star Schema Migration
- Data Contracts & Automated Validation Setup
- Structured Analytics Environments (dbt Project Setup)
The audit, plus a governed data model designed and ready to build — every metric defined once, every table's grain declared, delivered in 8 weeks.
Full E3
Starting at $100,000
Running in production in 16 weeks
The whole thing: evaluate, engineer, and execute — we build the pipelines that run it, not just the plan.
- Data Quality & Reliability Assessment
- Cloud Warehouse Cost & Efficiency Audit
- Pipeline Architecture & Tech Debt Inventory
- Data Access & Security Compliance Review
- Enterprise Semantic Layer Design
- Core Dimensional Modeling & Star Schema Migration
- Data Contracts & Automated Validation Setup
- Structured Analytics Environments (dbt Project Setup)
- Ad-Hoc Script & Notebook Modernization
- Centralized Pipeline Orchestration Architecture
- Idempotent & Resilient Pipeline Design
- SLA & Freshness Monitoring Frameworks
- Incident Response & Operational Playbooks
A working data model, running on monitored, production-grade pipelines — evaluated, engineered, and executed end to end, live in 16 weeks.
Concepts
- Schema Drift Is a Tax You Pay in 3AM Pages
- Death by a Thousand Tokens
- It Ran Once. That's Not the Same as It Runs.
- Self-Healing Pipelines Can't Decide What 'Healthy' Means
- One Copy of the Data Isn't One Source of Truth
- The Anatomy of a Semantic Layer
- The Data Concierge
- Your LLM Is a Fluent Guesser
- The Concierge Test
- Your Metric Won't Survive the Next Reorg
- Some Numbers Are Pizza. Some Are Lasagna.
- Your Star Schema Needs a Method, Not a Vibe
- The Star Schema Still Wins
- Stop Joining on the Source System's ID
- The Data Model Is the Product
- The "If Somebody Would Have Told Me" Paradox
Resources
Have data that should be doing more?
Tell me about the pipeline that breaks, the metric nobody trusts, or the analysis stuck in a notebook. Let's operationalize it.