Your data stack 'grew over time'
Now it's falling apart
Cron jobs, half-written scripts, pipelines built by whoever was available. Every new data source causes a fire.
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
Your architecture can't support the volume, complexity, or growth you're experiencing. What started as quick solutions became permanent infrastructure. Now you have technical debt everywhere — and adding anything new creates two new problems.
What needs to happen
The pieces you actually need.
01
Single orchestration layer
One place to see every pipeline, with observability and alerts.
02
Modeled business logic
dbt (or equivalent) as the single definition of every metric.
03
Cost-aware warehouse
Right-sized compute, partitioning, and query governance.
How we solve this
A path. Not a rewrite.
- 01
Audit
Map every pipeline, model, and dashboard.
- 02
Design
Create a target-state architecture.
- 03
Migrate
Move to the new system incrementally — no big-bang.
- 04
Govern
Implement monitoring, testing, and documentation.
Tools we use
Sigma