You already run Looker
LookML audit first. Then the retainer or the semantic layer, depending on what the audit reveals.
Offers
Every offer has a scope and a timeline. You describe your context, the quote arrives within one business day and confirms the scope after a written brief.
Five days to find what slows your explores and breaks trust in your dashboards, with the fixes delivered on a branch.
Timeline 5 business days
See detailsOne definition per metric, modelled in dbt, exposed in LookML, governed. Your three revenue numbers become one again.
Timeline 3 to 5 weeks
See detailsFrom Looker Studio, Tableau or Power BI: we model in LookML what deserves it, re-point the dashboards that matter, train the analysts. 4 to 8 week engagement.
Timeline 4 to 8 weeks
See detailsConversational Analytics, Gemini in Looker, Looker MCP: a 4-week pilot so your teams can question data in plain language and get correct answers.
Timeline 4 weeks
See detailsThree days a month of remote Looker engineering: LookML changes, new explores, review of your analysts' code, analyst training. Cancel any month.
Timeline 3 days / month
See detailsWhere to start
LookML audit first. Then the retainer or the semantic layer, depending on what the audit reveals.
Migration to Looker if governance or definitions are the problem. Semantic layer in BigQuery first if the numbers already contradict each other.
LookML audit, then the Analytics agents pilot. Never the other way round.
At a glance
| Offer | Timeline | Format |
|---|---|---|
| LookML audit | 5 business days | Fixed price |
| BigQuery + dbt + Looker semantic layer | 3 to 5 weeks | Engagement |
| Migration to Looker | 4 to 8 weeks | Engagement |
| Analytics agents | 4 weeks | Pilot |
| Looker retainer | 3 days / month | Monthly |
Your stack, what is broken, the deadline. Three lines are enough. Written answer within one business day.
Write to NeuravoidOr directly by email
contact@neuravoid.io