Data Platforms
Data trapped in silos, reporting takes days, AI initiatives fail because of poor data quality.
Sound familiar?
Check off what you recognise — CLUE is listening.
I'm listening …
Let's talk about it →Especially common in:Manufacturing & MachineryLogisticsRetail & E-CommerceFinancial Services
The Challenge
You have data. In your ERP, in machines, in CRM systems, in spreadsheets. But it’s isolated, unstructured, and impossible to analyze. Before AI even has a chance, the data foundation has to be right — and that’s exactly where most companies get stuck.
How Aclue solves it
We build scalable data platforms that connect your systems and make data available in real time. Data lakes, warehouses, lakehouse architectures — whatever fits your use case. Plus data strategy, governance, and quality processes.
The crucial difference: we don’t build technology demos, we build production platforms. Including monitoring, operations, and team enablement.
Concrete applications
- 01
Streaming data platform
process and analyze shipment data in real time
- 02
Data lakehouse
make structured and unstructured data centrally available
- 03
Data quality
automatic validation and correction of master data
- 04
Compliance
GDPR- and AI-Act-compliant data architectures
What is this costing you today?
- ReportingToday:Days for a single report (data from 5+ sources)Potential with a data platform:Minutes
- Data qualityToday:No single point of truth, conflicting numbersPotential with a data platform:Consistent data foundation
- AI initiativesToday:Fail due to poor data qualityPotential with a data platform:Solid foundation for AI projects
- DecisionsToday:Based on gut feeling, not dataPotential with a data platform:Data-driven, in real time
- ComplianceToday:GDPR/AI Act risk from unstructured dataPotential with a data platform:Compliant architecture
- ROI timeframeToday:—Potential with a data platform:6–12 months
The result
Data available in real time, reporting cut from days to minutes, AI initiatives built on a solid foundation.
- 5+ sources
- unified in one platform
- < 12 mo.
- to ROI
Built with: Data Engineering →
Where this already works
Otto, Kühne + Nagel, EOS — Logistics, Retail & Finance
Data Engineering for Logistics and Retail
Result: Real-time shipment data, data quality as the foundation for AI, a new core system for debt collection
Get started: Data Quick Scan
Free, no obligation, with a concrete result for your case.
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