Data Warehouse & Executive Analytics
We consolidate your operational systems into a warehouse, model the metrics your leadership argues about, and ship dashboards with definitions everyone agrees on.
Scope of the build
Fixed scope, fixed timeline, 100% U.S.-based senior engineers on Eastern-time hours.
- Source connectors (app DB, CRM, billing, product)
- Warehouse setup (Snowflake, BigQuery, or Postgres)
- dbt models with tested metric definitions
- Executive dashboard suite
- Reverse ETL back into CRM/ops tools
- Data quality alerting
- Analyst handover and documentation
What you get
One number per metric
Definitions live in code, not in five spreadsheets.
Self-serve answers
Ops stops queueing behind engineering for reports.
Trustworthy data
Freshness and quality tests fail loudly.
Where this fits
- → Board reporting
- → Product analytics
- → Revenue operations
- → Ops KPI rollups
From signature to production
The same delivery rhythm on every engagement. You always know what shipped last week and what ships next.
- Week 0
Scope lock
Two working sessions with your team. We write the spec, the acceptance criteria, and the integration list, then fix the price against it.
- Weeks 1-2
Spine first
Data model, auth, environments, CI, and the riskiest integration go in before any screen is polished. You see it running in staging.
- Mid-build
Weekly demo
Working software every Friday, on your staging environment. Scope changes get priced in the same call, never discovered at the end.
- Go-live
Handover that holds
Runbooks, monitoring, test suite, and a recorded walkthrough for your engineers. You own the repo and the accounts from day one.
Before you book a call
Straight answers on price, timeline, ownership, and who writes the code. If your question is not here, ask it on the call — we answer it the same way.
Scope data warehouse & executive analytics →What does data warehouse & executive analytics cost?
From $40,000. The price is fixed against a written scope after a two-session discovery, so the number you approve is the number you pay. Typical delivery runs 6–8 weeks.
How long does it take to go live?
6–8 weeks from scope lock to production for the scope listed on this page. You see working software in your staging environment every week, starting in week two.
What does it integrate with?
Out of the box we wire Snowflake, BigQuery, dbt, Fivetran and Looker / Metabase. Anything with an API or a file drop can be added during scope lock.
Who actually builds it?
Senior U.S.-based engineers on Eastern-time hours. No offshore handoff, no rotating junior bench. The people on your kickoff call are the people writing the code.
Do we own the code?
Yes. Your repo, your cloud accounts, your data — from the first commit. We hand over runbooks, tests, monitoring, and a recorded walkthrough so your team can take it forward without us.
Can this start smaller than the full scope?
Usually. We can carve a first slice that proves the hardest part of data warehouse & executive analytics in a few weeks, then sequence the rest once it is running in production.
Related case studies
- Ba Property Tax Case Study Case Study Case StudyBA Property Tax, a data-driven real estate tax consultancy, processes large-scale ownership and valuation datasets for internal modeling and external.
- Starhealth Data Visuals Case StudyStarHealth is a comprehensive healthcare data and analytics platform with one of the largest repositories of medical information, including over 450,000.
- Pm Insights Pdf Stability And QA Hardening Case S Case StudyPM Insights serves organizations requiring high-fidelity project reporting, structured analytics, and consistent multi-page PDF outputs for executive.
Buying for general? These usually ship together.
More General solutions
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Tell us what you're building — engineering capacity, AI, QA, cloud, or a fixed-scope software engagement. Our NYC team responds within one business day.
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