Every number you run the business on, in one place you trust. Built for Seattle-based businesses, population 4,100,000, with the buyer profile and competitive dynamics that come with it.
Amazon, Microsoft, and the surrounding AI startup bench drive one of the most concentrated tech economies in the world, with strong DTC and outdoor brand presence.
Business Intelligence & Reporting engagements in Seattle are scoped to the operating reality of a 4,100,000-person metro economy. We pull the numbers you run the business on out of the spreadsheets and disconnected dashboards and into one place your whole team trusts. Our existing client base in the metro skews toward B2B SaaS companies, B2C SaaS companies, DTC e-commerce brands, but the playbook adapts to the operator, not the other way around.
For Seattle businesses, every BI & Reporting engagement is scoped and quoted individually. 3 to 8 weeks.
Seattle's tech concentration is unusually deep and unusually cloud-and-AI-native, given Amazon and Microsoft sit at its center and a thick startup bench has formed in their wake from South Lake Union out to Bellevue. That means clients arrive cloud-fluent: they expect serverless, sane infra, and AI features built with real evals rather than demo-ware. The B2B SaaS founders are often ex-FAANG and will hold a build to that standard. Alongside the software economy runs a distinctive consumer cluster, the outdoor and DTC brands shaped by the region's gear-and-lifestyle culture, that needs headless commerce, subscription logic, and content-rich storefronts. Fitness and wellness studios serve a health-conscious, well-paid population. The defining trait is technical literacy across the board, even the consumer brands are founded by people who know good software when they see it, so the engagements that win here are the ones where engineering depth is visible, not papered over. Seattle's particular tell is AI maturity: clients have watched enough hyped demos collapse in production that they ask about evals and grounding in the first meeting, and the build that earns their trust is the one that treats reliability as the feature rather than the afterthought.
We pin down exactly what each metric means, revenue, churn, margin, and who owns it, before building a single chart. Half the dashboards in the world are ignored because nobody agreed on the definitions first.
Data lands in a real warehouse and gets transformed through versioned, tested dbt models, so the numbers are consistent and traceable. The dashboard sits on a foundation, not on a fragile spreadsheet export.
We build for the decision the viewer has to make, not for every metric we can plot. A focused view someone checks every Monday beats an exhaustive one that gets bookmarked and never reopened.
The numbers get pushed, a weekly digest or an alert when a metric moves, so leadership sees them without logging into a tool. Reporting reaches people where they already are instead of waiting to be pulled.
We respond within 48 hours with scope, pricing, and the team that would actually run the engagement.
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