We capture your data sources, map them into a unified architecture and build the pipelines that prepare and deliver your data automatically. In the morning your team opens a dashboard built on current, validated data, makes decisions in minutes instead of hours and trusts the numbers it sees.
Free initial consultation02 · The reality in many companies
Most companies have more data than ever before. It sits in CRM, ERP, accounting systems, spreadsheets and various databases, every department has its own source and nobody is working from the same figures. Reports contradict each other, decisions are based on outdated numbers and confidence in the data drops with every contradiction.
The problem is not the data. The problem is that it was never structured, centralised and made usable.
03 · What success looks like
All relevant data flows automatically into a unified platform, where it is prepared, validated and made available. Every department works from the same data foundation, reports no longer contradict each other and decisions no longer require hours of data cleanup. Your team opens a dashboard built on current, validated data and makes decisions in minutes instead of days.
That is what a clean data infrastructure means in everyday work.
04 · What we do for you
Service 01
We capture your data sources, analyse the existing data landscape and develop a unified data architecture that fits your business. Lakehouse or warehouse architectures that combine flexibility and performance, with integrated security and access mechanisms for GDPR compliance, data governance structures and cost transparency through FinOps capabilities and elastic scaling.
Service 02
We build the pipelines that ingest, transform, validate and deliver your data automatically, from every source, in batch and in real time. Continuous testing and observability make sure data quality and pipeline health are guaranteed at all times. The prepared data is handed straight to data warehouses, data products or AI and machine learning systems, so your team and your applications always work with current, reliable data.
05 · What sets us apart
A personal contact. At GreenVee there is no ticket system and no account manager passing you along. You always have a direct contact who knows your data landscape and can act immediately.
We understand your business. Before we build a single pipeline we understand how your data is created, where it is needed and what your team wants to achieve with it. The architecture follows your business, not the other way around.
Speed. No lengthy tenders, no internal rounds of coordination. We start quickly, deliver first data pipelines early and expand iteratively.
Data and AI from one source. We do not just build the data infrastructure, we also build the AI applications on top of it. You get an end-to-end solution from the data source to the finished AI-powered application.
Full responsibility. We do not hand over and disappear. What we build we own, from the first data analysis to running operations.
06 · How we work
We work iteratively to deliver value early and establish DataOps principles for continuous improvement and high data quality.
We identify and assess all relevant source systems, understanding which data exists, where it sits and what quality it has.
We design a targeted data architecture, lakehouse, warehouse or hybrid solution, that fits your business and your requirements.
We build automated pipelines for ingestion, transformation and validation, so your data is available reliably and in high quality.
We define roles and responsibilities for data, data owners and stewards, so it is clear who owns which data and how it may be used.
We implement monitoring, alerting and cost control and keep optimising, so your data platform runs reliably and grows with your business.
We take responsibility for technical design, implementation of data platform and pipelines, and automated quality assurance. The client defines domain use of data and decides on business logic and reporting.
07 · Typical use cases
Use Case 01
A mechanical engineering company managed production data, quality metrics and supplier information in three different systems. Management wanted to know which product lines were profitable, but had to merge data manually for hours every time. GreenVee captured all data sources, built a central data platform and developed automated pipelines.
Result: Management sees profitability, utilisation and quality metrics up to date every day on a single dashboard.
Use Case 02
A logistics company wanted to detect delivery delays early with AI, but had no clean data foundation. Raw data from GPS tracking, order management and weather services came in different formats and was full of gaps. GreenVee captured the sources, mapped them and built a production-ready pipeline that cleans and enriches all data and delivers it to the AI model in real time.
Result: Delivery delays are detected up to 48 hours in advance.
Use Case 03
A retail company synchronised stock levels once a day. Customers ordered products that were already sold out, returns went up and the reputation suffered. GreenVee built real-time streaming pipelines that synchronise stock, orders and returns by the second. The warehouse employee confirms incoming goods with a scan and every system updates automatically.
Result: Incorrect stock levels eliminated, return rate reduced by up to 35%.
Use Case 04
An insurance company worked on an outdated data warehouse that took hours to return queries and could barely connect new data sources. Every extension cost months of development time. GreenVee captured the existing data landscape, mapped it and migrated the system step by step to a cloud-based lakehouse architecture without interrupting ongoing operations.
Result: Query times reduced from hours to minutes, new data sources can be connected in days instead of months.
08 · What you end up with
A unified, scalable data infrastructure with clear access and security mechanisms, GDPR compliant and tailored to your business.
Automated, robust data pipelines with high data quality, your team always works with current and reliable figures.
Cost-efficient use through elastic resources and FinOps, you only pay for what you really need.
Transparent governance and clear responsibilities, everyone knows which data they may use and who owns it.
A data foundation that feeds AI and machine learning applications directly, so you do not just see reports but can make predictions.
09 · What our clients say
"GreenVee fully analyzed our data landscape and built an automated workflow that saves us three to four hours every day. What used to be manual work now runs by itself, and our team focuses on what really matters."
Benni
Managing Director, Building Renovation
10 · Contact
In a free 10-minute conversation we show you whether and how we can structure your data and make it usable.
Request a free initial consultation