Where every decision starts
Bulletproof data infrastructure
Forecasts that live in someone's head. Margin reports that take three days. KPIs that mean different things in finance, sales, and operations. An AI ambition no one knows where to start with.
For many companies that's the reality. Every data initiative on top of it (better forecasting, dynamic pricing, automated planning, AI use cases) only works if the layer underneath holds. To get the use cases right, you have to get the foundation right first.
Good news. AI dreams don't have to be built on sand.
Make it scalable, but keep it simple
That's the design philosophy.
It sounds obvious.
It rarely gets respected.
It means handling large data volumes without ceremony. Keeping cloud costs under control. Picking fewer components, not more. Relying on proven tools. Building a platform your data analysts can use, not just your engineers. And shipping something your team can maintain when we walk out.
Inside that philosophy, your business needs four things, in the right order.
1. A platform that scales without surprises.
Cloud lakehouse on Databricks, Microsoft Fabric, or BigQuery. Bronze, silver, and gold layers for raw, curated, and business-ready data. Set up with Terraform. Versioned in Git. CI/CD from day one. Cost monitoring with alerts straight into Teams when budgets drift.
2. Source integrations that don't break.
Your legacy ERP that's halfway through its migration. Your marketplace exports from Bol or Amazon. Your 3PL daily file drop. The spreadsheet someone in finance still updates by hand. We connect all of it, with incremental loading and historical versioning, so yesterday's number is still yesterday's number tomorrow.
3. A data model the business actually understands.
Built in dbt. Tested. Documented. Lineage tracked. Anomaly detection that pings Teams when a column starts behaving strangely. Naming conventions your finance and supply chain teams agree on, before the dashboards land.
4. A semantic layer you can ship reports on.
Power BI semantic model on a clean warehouse. One number. One source. One truth.
That's what data infrastructure means at Crunch. Not slides. Not architecture diagrams. Working pipelines, in production, that you own end to end.
We don't ship a black box and walk away. The model is co-development.
How we build it with you
We don't ship a black box and walk away. The model is co-development.
We build with your team, not next to it. Your IT lead and your PBI owner are in the room. Your engineers learn the platform by writing code alongside ours.
Knowledge transfer is a deliverable, not an afterthought. At handover, you own the platform, the code, and the runbook. No vendor lock-in. No "you'll need us forever" surprise.
We build it. You maintain it. That's the deal.
A good data platform is not a project. It's a base. Most of our engagements follow the same shape.
Phase 1. Foundation. Cloud platform live, first sources connected, first reports running. Two to three months.
Phase 2. Scale-up. Add sources, expand the model, roll out reporting beyond the pilot domain.
Phase 3. Intelligence. Demand forecasting, planning optimization, dynamic pricing, on top of the platform you already own.
Phase 4. Continuous partnership. Maintenance, improvements, new use cases, on a cadence that fits.
Each phase stands on its own. None of them locks you in.
Technology-agnostic. Not technology-indifferent.
Data warehouse. Data lake. Lakehouse. Next year? Probably the “cloud glacier.” Every year comes with buzzwords. But your needs? They stay the same.
You need clarity. Flexibility. Speed.
We help you see through the fog and pick the tools that actually fit your business. Databricks. Azure. Microsoft Fabric. Google Cloud. Snowflake. dbt. Power BI. We pick the stack that fits your business, not the one with the best partner margin.
Databricks
All your data work, from raw extraction to AI models, in one brutalist powerhouse built on open standards.
Azure
Microsoft's Swiss army knife for data: secure, scalable, and made for teams that want speed without chaos.
Google Cloud
Spin up fast, scale without thinking, and pay only for what you crunch. BigQuery is SQL-first simplicity with serious power.
Your system here
Got a tool you swear by? We plug it in, wrangle the mess, and make sure it fits in your future-proof stack.
Two-week scan. Three-month MVP. Year one ROI.
Not sure what your stack should look like? Start with the Data Infrastructure Scan. Two weeks. Roadmap on your desk.
Pair it with the Decision Architecture Scan and you walk away with a clear picture of where your data lives, what it should be doing, and what to build first.
We don’t waste time. Our solution accelerators get you up and running fast. In two months, your data landscape won’t just be modern — it’ll be yours. No black boxes. No vendor lock-in. Just clear architecture you control, and results you can scale.