Turning Data Ambitions Into Operational Wins.
80%
Cheaper than a big 4 engagement
100%
Faster Delivery
End-to-End Data Solutions
Applied AI
We turn LLMs and classical ML into working systems: copilots for operations, retrieval-augmented search over your docs, classification and forecasting pipelines, and AI-assisted workflows that teams actually adopt. Expect model evaluation, guardrails, observability, and cost controls from day one — and a clear cutover path from pilot to production.
Analytics & Reporting
From KPI strategy to dashboards to statistical models, we build tools that hold up in Finance and Operations. We focus on a small set of metrics with clear definitions and owners, then add modeling only where it moves dollars: demand, churn/propensity, pricing, and supply-chain risk. Deliverables are concise, versioned, and tied to a business decision.
Data Engineering
We build and modernize pipelines and warehouses that are reliable and cost-aware. Expect fixed lineage, automated data-quality checks, and environment parity with CI/CD so changes ship predictably. The result is fast queries, governed data, and fewer incidents—so analytics and AI can run without firefighting.
Impact That Shows Up on the Balance Sheet
We focus on metrics that move the business — not vanity numbers. Our solutions deliver tangible operational improvements — not just dashboards.
How we work
01
Frame
2–3 focused workshops to define goals, users, and success metrics.
02
prove
4–6 week sprint delivering a live, testable solution with real data.
03
Productionize
Refine, secure, and hand over with full documentation and training.
Case Studies That Turn Data Into Results
Aesop Auto Parts
A national auto parts retailer needed a single source of truth for store operations and inventory decisions; reporting lived in silos across merchandising, supply chain, and retail ops
What we delivered
- Engineered automated ELT pipelines to consolidate and transform multiple source systems
- Built curated gold-layer analytical tables to support dashboards and advanced reporting
- Delivered executive and store-level dashboards with daily and weekly refresh schedules
- Implemented automated alerts to flag KPI deviations and inventory performance issues
- SKU-store demand signals to reduce stock-outs and dead stock
- “Last mile” training and adoption for district managers
70%
Faster Root-Cause Analysis
Detroit Data Co. shipped something we could use in weeks. The mix of engineering discipline and practical reporting is rare.
(Director of Business Transformation)
Built in Detroit, deployed anywhere.
Detroit is where manufacturing discipline meets grit. We bring that to data: small expert teams, clear KPIs, production-first builds, and adoption that sticks.
Josh Boike
Managing Partner, Data Reporting Expert
- Metro Detroit native; University of Michigan alum
- Advanced degree in Computer Science
- Deloitte Strategy & Analytics
- City of Detroit — Special Data Projects
- 5+ years leading a boutique analytics consultancy
Hassan Ashas
Partner, Data Engineer and Cloud Architect
- Degree in Computer Science with distinction
- Experience leading data modernization and analytics initiatives for Fortune 500 and mid-market clients
- Certified in AWS, Databricks, Microsoft Fabric and Power BI
- Specializes in Cloud Architecture, Python, SQL, Databricks, PySpark, AWS, Azure, dbt, and Power BI.
Abdul
Partner, PhD (AI)
- PhD in Artificial Intelligence
- 7+ years leading AI consulting practices
- Specializes in ML platforms, LLMOps, and production reliability
