Every Report Built on Bad Data Carries Hidden Risk.
We build the ingestion, transformation, and quality systems that turn fragmented raw data into trusted operational intelligence - across platforms that move more than €10 billion in GMV annually.
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Data engineering problems rarely appear as technical issues. They surface as dashboards nobody fully trusts, reports that contradict each other, and analysts who spend weeks preparing datasets before meaningful analysis can begin.
The cost is real but rarely quantified. Every hour an analyst spends cleaning data is an hour not spent on analysis. Every report a CFO hesitates to act on is a decision delayed. Every inconsistency between two systems is a risk that compounds as the organization scales. By the time the problem is visible at board level, it has been costing the business for months.
The distance between data infrastructure and executive decision-making is usually a pipeline problem. Gradion builds the systems underneath the analysis - the layers that make decisions dependable.
How We Engage
Phase | What happens | Typical timeframe |
|---|---|---|
Data Assessment | We map your current data landscape: sources, pipelines, transformation logic, quality gaps, and governance state. You get a written assessment of where reliability breaks down and what to fix first. | 1–2 weeks |
Foundation Build | Core infrastructure: ingestion layers, transformation logic, data warehouse, quality checks, monitoring. Designed for the decisions your business needs to make - not a generic reference architecture. | 4–8 weeks |
Scale & Optimize | Real-time synchronization, cross-system consistency, performance optimization, and the governance controls that keep data reliable as volume and complexity grow. | Ongoing |
Not every engagement requires all three phases. Some clients need an assessment to understand what they have. Others need a full platform build. We scope to the problem, not to a template.
What We Build
Data Engineering
The pipeline layer: ingestion from internal systems and external APIs, transformation logic that standardizes and validates, and the orchestration that keeps data flowing reliably at scale. Designed to be auditable, recoverable, and maintainable by your team after handover.
Analytics & Reporting
Structured reporting that reflects what is actually happening in the business - not what a cached dashboard showed yesterday. We build the analytical layer on verified, consistent data so the numbers your leadership sees are the numbers your operations produce.
BI & Dashboarding
Operational dashboards designed for decisions, not decoration. Connected to live data sources with clear refresh cadences, documented transformation logic, and quality indicators so users know what they can trust and what carries lag.
Data Platform Modernization
For organizations running on legacy data infrastructure - fragmented warehouses, undocumented ETL pipelines, manual CSV workflows that became permanent. We consolidate, modernise, and hand over a platform your team can operate and extend independently.
Data Governance & Residency
Data that moves through pipelines is subject to the same governance and residency requirements as data at rest. For DACH clients, GDPR compliance is engineered into pipeline design - not retrofitted after the build. Consent logic, data retention policies, and access controls are embedded at the transformation layer.
Where data sovereignty is a requirement, we deploy on EU infrastructure. Where clients operate across jurisdictions, we design pipelines that respect residency boundaries without fragmenting the analytical view.
Proof In Production
Vietnam’s largest coffee chain - 928 Outlets, 12% Revenue Growth Vietnam's largest coffee chain operated across four fragmented databases with no unified view of operations. Gradion consolidated the data estate into a central warehouse, unlocking real-time reporting and campaign-level insights across every store. Revenue grew 12% within three months of rollout - driven by operational decisions that were previously impossible to make at speed.
Senior Aerospace Thailand - 55% to 95% Operational Efficiency Production data was spread across systems with no single view of operations. Gradion built a custom analytics dashboard integrated directly with their Infor Syteline ERP, giving teams real-time visibility across both production lines. Operational efficiency moved from 55% to 95%.
HomeToGo - 15M+ Listings, 99.99% Uptime The world's largest vacation rental marketplace: 15 million+ listings, 100+ partner API integrations, 25 countries. Availability and pricing data flowing in real time across the platform is not a warehouse problem - it is a data engineering problem. Solved at a scale that supports 50+ daily deployments while maintaining 99.99% uptime. This is one of the platforms behind the €10 billion+ GMV figure.
All figures are from live engagements. Additional references available under NDA.
Describe the data problem. We will scope the engineering.
Whether you are dealing with dashboards nobody trusts, analysts buried in data preparation, or a platform migration that needs a reliable foundation - the conversation starts with what decisions your business needs to make and what data they depend on.