40+
Data sources unified
Data Analytics
Metrics that
stay true under pressure.
We build a data operating system: unified sources, consistent definitions, and dashboards that translate numbers into decisions — plus an insight cadence that keeps it alive.
55
Exec dashboards shipped
+14%
Avg. revenue lift
Metrics don’t match
Revenue in finance doesn’t equal revenue in product — teams stop trusting dashboards.
Data is fragmented
Each team has its own spreadsheet pipeline. Ownership is unclear, fixes are slow.
AI needs clean inputs
Copilots fail when events are inconsistent and definitions aren’t documented.
Insights don’t get acted on
Charts look nice, but nobody knows what to do next — so nothing changes.
Analytics OS
A storytelling build path
from raw data to decisions.
Dashboards are easy. Trust is hard. We build the system that keeps metrics consistent, insights actionable, and AI grounded.
Stitch
01
Unify messy sources
We map sources, owners, and definitions — then pipe the data into a governed foundation. No more spreadsheet truth.
- Source map + owners
- Freshness checks
- PII handling
Model
02
Build a semantic layer
We design the business model behind your dashboards: consistent definitions, tested transformations, and reusable metrics.
- Metric definitions
- dbt tests
- Dimensional model
Narrate
03
Dashboards that drive action
Dashboards should answer questions, not show charts. We build executive views with drilldowns and decision-ready narratives.
- Exec views
- Drilldowns
- Weekly insight rhythm
Activate
04
Turn insight into workflows
Insights aren’t useful if they die in BI. We wire alerts, routing, and reverse-ETL so teams act inside the tools they live in.
- Slack alerts
- CRM activation
- Anomaly detection
AI-ready
05
Make data usable for AI
In the AI era, analytics is the foundation. We document, validate, and structure data so copilots and agents stay grounded.
- Catalog + docs
- Golden datasets
- Guardrails
Enable
06
Ship playbooks, not slides
We deliver the operating system: definitions, runbooks, dashboards, and a monthly cadence that keeps the org aligned.
- Runbooks
- Owner roles
- Training + handoff
Live view
Source map
What feeds your metrics, who owns it, and where it breaks.
Tests
Docs
Alerts
Exec promise
If a metric changes, you’ll know why. Definitions, ownership, tests, and freshness monitoring ship together.
What we deliver
An insights engine that drives action.
We don’t ship “a dashboard.” We ship the decision system: modeling, definitions, instrumentation, and an operating cadence.
Executive command dashboards
The few metrics that matter, with drilldowns, context, and next steps.
Single source of truthFaster decisionsNo ‘metric debates’
Revenue & growth intelligence
Funnel diagnostics, CAC/LTV modeling, cohort views, and experimentation ideas.
Growth levers surfacedBetter pacingClear priorities
Ops & finance reporting
Forecasting, margin views, staffing/inventory signals tied to reality.
Predictable planningLess manual reportingCalmer ops
Trust
Reliability is the product.
The fastest dashboard is useless if it’s wrong. We ship ownership, definitions, tests, and freshness monitoring — so metrics stay stable.
Definitions + ownership
Every KPI has a definition, an owner, and a change log.
Quality + freshness checks
Tests and monitoring that tell you when data is late or wrong.
AI-ready foundations
Grounded analytics with documented events and curated datasets.
Stack snapshot
Modern tools. Quiet governance.
We work with your stack or stand up a new one fast — then make it resilient with tests, definitions, and ownership.
BI & visualization
Power BILookerMetabaseSuperset
Warehousing
BigQuerySnowflakePostgresRedshift
Pipelines
dbtAirbyteFivetranAirflow
Product analytics
AmplitudeMixpanelGA4Cohorts
A simple rule
If leadership sees it, it must be tested. If a KPI changes, it must be explained.
Proof
Data work that changes the P&L.
$3.2M
Incremental revenue
Found cross-sell moments by instrumenting product analytics and aligning KPIs.
-37%
Ops cost savings
Automated finance packs and forecasting for a retail chain across 120 stores.
8 weeks
Time to analytics hub
Shipped an executive suite with governance, definitions, and training.
Questions
What leaders ask.
Do we need a new warehouse to start?
Not necessarily. We can work inside your current stack and improve definitions, tests, and dashboards first — then migrate if it makes business sense.
How do you stop dashboards from becoming stale?
We ship an operating rhythm: owners, alerts, freshness checks, and a monthly insight cadence that keeps the system alive.
How does this help in the AI era?
AI depends on consistent events and definitions. We structure and document data so copilots and agents stay grounded and reliable.
Next step
Turn your data
into decisions.
Share your context and we’ll respond with an audit, a roadmap, and the reporting rhythm we recommend.