Data pipelines and warehousing for service and distribution companies
Stop exporting CSVs. We automate data movement from field service, accounting, ERP, and CRM systems into a central warehouse that refreshes on schedule and keeps the history your software throws away.
Signs you've outgrown exports
Manual exports work until they don’t. Usually that’s when the person who runs them goes on vacation.
- Someone spends hours every week exporting and combining files
- Combining systems takes a VLOOKUP marathon
- Your software only keeps limited history
- Dashboards are slow or hit API limits
What we build
Built on tools you own, in accounts you control.
Source connections
Pulls from APIs, databases, and file drops across your field service, accounting, ERP, and CRM systems.
Central warehouse
Set up in BigQuery, Azure SQL, or PostgreSQL, sized for your data and budget.
Scheduled refresh
Data moves on a schedule you choose, from nightly to several times a day.
Historical snapshots
Keep the history your source systems overwrite, so trends are actually trends.
Monitoring and alerts
You hear about a failed load before someone opens a stale dashboard.
Pipeline documentation
What runs, when, from where, and how to fix it if it stops.
How a pipeline project runs
1
Map sources
We list every source, how it can be accessed, and what’s needed from each.
2
Choose the warehouse
We recommend a platform based on your ecosystem, volume, and who will maintain it.
3
Build and backfill
We build the pipelines and load history so dashboards have context from day one.
4
Monitor and hand off
We set up alerts and documentation, then hand off or keep supporting it.
Common questions
Have a different question? Ask us directly.
Do we really need a data warehouse?
Not always. If you’re combining several systems, need history, or reports are slowing down, a warehouse usually pays off. The audit tells you which camp you’re in.
Who owns the data and the accounts?
You do. Everything is built in cloud accounts registered to your company.
What about ongoing cloud costs?
We size the setup to your data volume and explain the expected running costs before anything is built.
Related services
One definition for every metric, so reports finally agree.
Dashboards built around the decisions your team makes every week.
Ongoing support so reporting keeps running and growing.
Start with a data audit
We’ll review your systems and current reports. You’ll leave with a clear plan for what to build first, whether we build it or not.
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