Ready to put your data to work?

We deliver a turnkey data infrastructure to mid-sized companies, running in their own cloud accounts. No black box, no vendor lock-in. The foundation for data-driven processes, AI applications and business intelligence – low running costs, scalable and flexible.

Book an initial call

At the start of each month, exports from the ERP system, Google Analytics and marketing tools are copied into Excel by hand.
Sales relies on a Salesforce report that doesn't match the figures from controlling.
The old booking system offers only a few reports and no interface to get at the data.
The AI pilot is up and running, but nobody can vouch for the quality of the analyses the agent produces.

The tools to solve this are affordable and proven today: cloud databases, SQL-based data models, AI assistants. What's missing is someone who connects them into a working system and runs it reliably.

That is the role we take on – from advice through build to operations, without the need for an in-house data department.

Data Warehousing & BI

A central data warehouse on AWS and Snowflake, data models with dbt, dashboards in QuickSight or Power BI. Business teams work directly with the data – no detour via IT.

Learn more

AI & Data Applications

AI assistants such as ChatGPT, Claude or Copilot work securely with the company's own data. Forecasting models predict demand and spot subscriptions at risk.

Learn more

Team Enablement

The company's own staff take on more responsibility for running the system step by step. Practice instead of theory: no training just in case, but learning by doing.

Learn more

	Off-the-shelf data platform	In-house build	Taten mit Daten
Setup	Product specialists until all services work together. The company depends on the vendor's support	Duration and result depend on the team's experience. Many decisions have to be made alone	A proven stack is rolled out to the company's own cloud account and adapted to its data sources
Running costs	Fixed pricing with little room to negotiate; even simple add-ons cost extra	Under your own control, but very low running costs take experience and optimisation	We run a stack for typically €150–300 a month and keep these costs low for good
Staff	Analysts experienced with the specific platform	A full-time data engineer and cloud architect – more than a mid-sized company can keep busy	Data engineering, cloud architecture and AI development come from us, while in-house skills are built up
Extensibility	Only within the features the platform offers; extensions need expensive product specialists	Permanent data engineers are disproportionately expensive for a mid-sized company; extensions are built by analysts or freelancers	New requirements fit into the existing AWS infrastructure; simple extensions take a few hours
Maintainability	Without a central data model, the same business logic is rebuilt in many reports and no single set of figures emerges	In-house teams have to acquire the experience and tools to create and maintain a single source of truth	A central data model keeps complexity manageable. We provide plenty of tools and help to monitor and maintain the system
Knowledge and documentation	Business logic sits in individual power users' dashboards or in Excel and Confluence pages that someone has to maintain	Documentation is written on the side and goes stale; when individuals leave, the data topic often starts from scratch	Documentation is generated automatically every day from data sources and data models; the knowledge lives in the system, not with individuals

In all three cases, the company needs people who work with the data and understand what the figures mean for the business. Data engineering, cloud architecture and AI development can be outsourced – an understanding of one's own operations cannot.

Frequently Asked Questions

What does a typical project cost?: We work on an hourly rate, not a fixed price – no risk premium at the start, full transparency on the effort spent. Typical running costs of a finished data infrastructure are €150–300 a month (cloud services, databases, BI licences). Project costs depend on scope; after the initial call we draw up a backlog with effort estimates.
Who takes care of maintenance and operations after the project?: Every project is documented and built so that the in-house team or any data engineer with AWS experience can take over further development. On request, we also offer a monthly maintenance budget for ongoing operations and development.
There are ready-made products such as Snowflake, dbt Cloud or Power BI – why hire Taten mit Daten anyway?: These products are only building blocks of a modern data stack. They have to be set up, configured and connected in the client's cloud. We bring the experience and the code to make that connection quickly.
AI agents can program almost anything now. Why not simply have an AI build my data processing?: That is possible. But it involves many decisions. An AI agent can explain the options, yet without experience in data processing and cloud operations it is hard to make every decision well. We have rebuilt and optimised our solution for years – with AI support, of course. A low-cost, maintainable and secure system like ours is not something an AI agent builds from a simple prompt.