Dashboards & Analytics
Decisions, not dashboards.
We build the data products executives actually open β and the warehouse plumbing underneath that makes them trustworthy.
Most analytics projects fail not because the visualizations are wrong but because the data underneath them isn't believable. We start by fixing that. Our analytics engagements pair a data architect with a senior visualization engineer, so the warehouse, the semantic layer, and the dashboard are designed together as one product.
The result is a small number of dashboards that get used every Monday β not a sprawling Tableau site that everyone ignores by quarter two.
What we do
Executive dashboards
01KPI and OKR dashboards in Tableau, Power BI, or Looker designed for the cadence of your leadership rituals.
Data warehousing
02Snowflake, BigQuery, Redshift, and Postgres. Modeled with dbt, documented, and version-controlled.
Semantic layers
03A single source of truth for metric definitions so finance, ops, and product stop arguing about whose number is right.
Embedded analytics
04White-labeled dashboards inside your customer-facing product, with row-level security and SSO.
Self-service enablement
05Workshops, documentation, and analyst coaching so your team owns the platform after we leave.
Migration & modernization
06Legacy SSRS, BusinessObjects, OBIEE, and Crystal Reports moved to a modern stack without losing institutional logic.
What you can expect
- A working executive dashboard in production within 6β8 weeks.
- A documented metric layer your finance team will sign off on.
- Reduced time-to-insight from days to minutes for the questions you ask most often.
- A clear, defensible roadmap for the next year of analytics investment.
Let's get specific
