You don't have a dashboard problem
You don't have a data platform yet
You're running on spreadsheets, manual exports, and dashboards held together by hope.
Sound familiar?
How many of these are you?
What's really happening
The real problem.
Pipeline health · diagnosis
critical42.3%
trust in dashboards
12
failed syncs
7
conflicting metrics
38
stale models
You're trying to scale analytics without a real data foundation. The dashboards exist, but nothing underneath them does.
What needs to happen
The pieces you actually need.
01
Ingestion
Automated pipelines pulling from every source — no more CSV exports.
02
Transformation
A modeling layer that defines business logic once, versioned in code.
03
Warehouse
A central repository that scales with your data, not against it.
How we solve this
A path. Not a rewrite.
- 01
Audit
Catalog every source, sheet, and dashboard. Measure what's actually in use.
- 02
Design
Pick the warehouse, ingestion layer, and modeling framework that fit your team and budget.
- 03
Build
Implement ingestion, modeling in dbt, and the first wave of trustworthy dashboards.
- 04
Handoff
Documentation, runbooks, and training so your team owns it.
Tools we use
The opinionated toolbox.
FivetranHHevoAirflowSnowflakeBigQueryDatabricksdbt