The Practice
Summit Analytics was founded on a specific observation: analytics investments fail when the people building them don't understand the business. Generic BI consultants learn the tool; they don't learn the supply chain. Summit Analytics exists to do the opposite — go deep on the domain, publish the references and frameworks the work actually needs, and take on engagements selectively. The consulting sits downstream of the library: selective engagements that build the data foundation, stand up the AI on top of it, and train the analysts who run it.
What we publish
The resource library is the practice's primary artifact — free and ungated, no sign-in. Eight ERP reference databases, a KPI dictionary, dashboard patterns, and cross-ERP modeling guides, plus reference builds that show those definitions running over frozen, simulated data.
What we believe
Analytics projects succeed when domain knowledge, technical skill, and long-term relationships converge. We optimize for all three.
Supply chain analytics is not generic BI. The right data model, the right table, the right transaction code — these matter. We publish the references that make this knowledge transferable.
The best analytics work is patient: long engagements where planners stop fighting the data and start trusting it. That's the bar.
The principal
Summit Analytics is led by Bryan Schoener, a supply chain analytics practitioner based in the Pacific Northwest. Enterprise supply chain experience across MedTech, consumer goods, footwear, and manufacturing, specializing in Databricks architecture, inventory optimization modeling, and production reporting platforms.
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