Technical · Analytics
One number. Every meeting.
Unified reporting across HubSpot, BigQuery, Looker, and your product data, with a governed semantic layer, executive dashboards, and quarterly reviews that keep the numbers honest.
- HubSpot · BigQuery · Looker
- Semantic layer done right
- Persona-first dashboards
- One truth
- Metric defined once, used everywhere
- Persona
- Dashboards per audience
- Governed
- Change control on every metric
- Quarterly
- Reporting review with leadership
The problem
Every team has a dashboard. Nobody agrees on the number.
Definition drift
'ARR', 'active user', and 'MQL' each mean five things depending on who's talking.
Dashboard sprawl
Fifty dashboards, no governance, and most haven't been opened in months.
Spreadsheet leadership
The exec team stopped trusting the BI tool and reverted to a Google Sheet.
Slow, expensive queries
Refreshes take minutes, warehouse costs climb, and nobody owns the fix.
The solution
A governed reporting stack, end to end.
Semantic layer
Every metric defined once, in code, with tests and reviews.
Persona dashboards
One dashboard per audience, CEO, CRO, CFO, CS lead, Product, designed for their decisions.
Warehouse-first architecture
BigQuery or Snowflake as the source, HubSpot as an input, BI as the output.
Ownership & reviews
Every metric has an owner. Quarterly reviews with leadership to prune, refine, and align.
What's included
The full reporting stack.
PILLAR 01
Warehouse & modeling
One warehouse. One truth.
- BigQuery or Snowflake foundation
- dbt or SQLMesh modeling with tests
- Semantic layer with unit tests
- Data-quality and freshness monitoring
PILLAR 02
Executive dashboards
Persona-first, decision-focused.
- Discovery workshops per leader
- Metric sign-off before design
- Consistent, mobile-friendly UI
- Drill-through and export patterns
PILLAR 03
Operational reporting
The reports teams live in.
- HubSpot native reports where fit
- BI reports for cross-source analysis
- Alerting and anomaly detection
- Embedded reporting for customers
PILLAR 04
Governance & adoption
So the stack stays trusted.
- Metric ownership register
- PR review for metric changes
- Quarterly reporting review
- Enablement and playbooks
Process
Five stages. One truth at the end.
- 01
Audit
Inventory every metric, dashboard, source, and owner. Score reliability and adoption.
- 02
Design
Semantic layer, persona map, and target dashboards, signed off before build.
- 03
Build
Warehouse models, semantic layer, and dashboards shipped in a sandbox.
- 04
Validate
Reconciliation against sources and stakeholder sign-off.
- 05
Adopt
Rollout, training, and quarterly reporting reviews to keep the stack honest.
READY WHEN YOU ARE
Get one truth your whole business shares.
Tell us where your reporting stops agreeing. We'll come back with an architecture within one business day.