Requirements-led data architecture designed, delivered, and trained by a practice built to scale — so your organization gains capability, not dependency.
Practical, scalable solutions across the full data lifecycle — from the systems that run your business to the analytics that guide it.
Tailored strategies aligned with your goals. Data-driven roadmaps that identify growth opportunities, mitigate risk, and drive measurable business outcomes — built on what you actually need, not what sells.
View all services →Scalable architectures on Snowflake, SQL Server, and cloud platforms. Data Vault modeling, governance frameworks, automated pipelines — and training so your team can manage it all.
View all services →Dashboards and reports that give leadership real visibility. Workflow automation that eliminates manual effort. Systems designed to scale with your organization rather than constrain it.
View all services →Three principles that define every engagement — and separate ODD from every other data consultancy.
Darwin Fisk leads architecture, strategy, and standards on every project. Engineering delivery is executed by a skilled team under his direct oversight — so you get principal-level thinking applied consistently, at scale.
We build solutions your team can understand, manage, and grow without us. That includes growing your people — we have trained report analysts into data engineers and good writers into technical practitioners. The goal is your capability, not your reliance on a consultant.
ODD is not a solo practice. We bring the right resources — internal team, trained specialists, and delivery partners — to match the scope of your engagement. Early-phase assessments are nimble; full platform builds have the depth to match.
Every engagement is designed to produce outcomes you can measure — in time saved, costs reduced, and decisions made with confidence.
Automated dashboards replace manual reporting processes. Executives see the numbers they need without waiting, without reconciliation debates, and without relying on one person who knows how to run the report.
Siloed data sources unified into a single, governed reporting layer. No more conflicting numbers across departments. No more "which spreadsheet is right?" before every leadership meeting.
Redundant and underutilized analytics platforms retired. Licensing costs eliminated. Infrastructure rationalized around what actually drives decisions — not what was bought three years ago.
Internal staff trained with playbooks and runbooks, not kept in the dark. When the engagement ends, your team is more capable than when it started — and not dependent on a consultant to keep the lights on.
After ten months building a complex enterprise data platform with AI as a genuine collaborator, Darwin Fisk documented what that experience actually taught him — about governance protocols, permission vocabularies, session continuity, and why human judgment remains the most important variable in any AI-assisted system.
This is the experience behind ODD's AI-augmented engineering practice, and an honest account of what it takes to make a powerful tool disciplined enough to trust.
The highest-leverage use of AI assistance is not code generation — it is consistency enforcement. A solo practitioner building a governed platform faces constant pressure to let standards slip under time pressure. An AI assistant that has internalized the project's standards and will consistently apply them is a more valuable collaborator than one that can generate clever code but ignores conventions.
And confident decisions build strong organizations. Let's talk about where yours stands — and where it could go.