Every number you run the business on, in one place you trust. Built for San Francisco-based businesses, population 4,600,000, with the buyer profile and competitive dynamics that come with it.
The center of venture-backed software in the US, with elevated engineering budgets, a saturated B2B SaaS field, and a premium economy that pays for development partners who ship fast.
Business Intelligence & Reporting engagements in San Francisco are scoped to the operating reality of a 4,600,000-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, financial advisors, but the playbook adapts to the operator, not the other way around.
For San Francisco businesses, every BI & Reporting engagement is scoped and quoted individually. 3 to 8 weeks.
In San Francisco, the bar for software is set by the buyer's own day job. Clients are founders, PMs, and engineers from SoMa and the Mission who can read a pull request and will, so the work has to survive technical scrutiny that doesn't exist in most markets. The B2B SaaS field is saturated to the point where differentiation lives entirely in execution: the AI feature that's actually grounded and eval-gated, the onboarding that converts, the integration that doesn't flake. Budgets are elevated but so are expectations; nobody here is impressed by a CRUD app. Even the consumer businesses, the boutique studios in Hayes Valley, the financial advisors serving newly-liquid tech wealth, expect product-grade polish. The defining engagement is the one too gnarly or too fast-moving for the in-house team to take on: a hard integration, an AI capability that needs to be trustworthy, or an MVP that has to ship before the next board meeting.
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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