„Decisions are based on gut feeling instead of numbers“
A management cockpit with up-to-date metrics – from group KPI down to the machine, all from one source.
Databricks & Microsoft Fabric
A data platform in 90 days that's actually productive
No two-year platform project, no data lake graveyard. We build your lakehouse on Databricks or Fabric around a real use case – with governance, BI and AI from day one.
- 90
- days to production
- 300+
- data & AI projects
- 100 %
- infrastructure as code
- 0
- vendor lock-in traps
Certified partner
Why now
You know the symptoms. We fix the cause.
Depending on your role the problem sounds different – the root cause is the same. Pick your perspective and see what a modern data platform solves structurally.
Decide instead of guess
„In meetings we debate numbers instead of actions“
A certified data model as your single source of truth – metrics defined once, valid everywhere.
„We don't know what AI actually delivers for us“
A use case backlog with a business case per idea. We start with the one that pays off within months.
ERPMESIoTCRMFiles
Power BIForecastingGenAI-AssistentenApps
Architecture
Medallion lakehouse instead of data silos
Three layers, one foundation: raw data stays untouched, the middle layer creates reliability, and at the top, data products emerge that your business teams can use right away.
Bronze
Everything in – nothing lost
Every source is ingested unchanged: ERP, MES, sensors, APIs, files. Batch and streaming run through the same ingestion, append-only and with full history. Bronze is deliberately not interpreted – it is the reproducible memory of the platform.
Guarantee: Technical source schema, no business guaranteeUsers: Data engineering
Important: freshness is not created by the layer, it comes from the ingestion pattern. Streaming sources are available near real-time in all three layers, batch sources are as fresh as their load interval. The layers differ in maturity, ownership and guarantee – not in speed.
GenAI assistant
Chat with your Data
Ask questions about your data in natural language. The assistant answers complex questions, creates complete dashboards on request and cites every source.
AI
onlineYour data platform assistant
Business units, BI, controlling
Business units decide for themselves
Users ask questions in natural language – no tickets, no waiting for the BI team. That speeds up analyses by up to 80% and takes load off data teams.
From prompt to decision-ready dashboard
Cockpits with KPIs, charts and drilldowns appear in seconds. Companies cut time-to-insight from days to minutes and react faster to market changes.
Trustworthy answers from the gold layer
Every statement is based on certified, governed KPIs. That eliminates “Excel truths”, reduces bad decisions and creates a consistent data culture.
Scales securely and GDPR-compliant
Rights, roles and data lineage are preserved. Companies minimise compliance risk and can roll out GenAI-supported analytics in a regulatory-safe way.
Technology
Databricks or Microsoft Fabric?
We're at home in both worlds and don't sell licenses. The decision is made based on your workloads, your team and your cost structure.
Lakehouse for AI & scale
Databricks
- Delta Lake & Unity Catalog as an open foundation
- Best choice for ML, streaming and large data volumes
- Multi-cloud: Azure, AWS or GCP
SaaS platform for M365 environments
Microsoft Fabric
- OneLake, Power BI and Copilot integrated out of the box
- Fast start without a dedicated platform team
- Ideal if Azure & Microsoft 365 are already in place
Still unsure?
Our assessment delivers a well-reasoned decision template including a 3-year cost comparison – non-binding and free of charge.
The 90-day plan
From kick-off to a productive data product
01
Week 1–2
Assessment & business case
We assess data sources, maturity and use cases – and calculate the value before you spend a single euro on platform costs.
02
Week 3–6
Landing zone & first domain
Infrastructure as code, medallion architecture, Unity Catalog or OneLake, CI/CD and cost control – production-ready, not a sandbox.
03
Week 7–10
First data product live
A real use case goes live: automated reporting, forecasting or a GenAI assistant on your data.
04
From week 11
Scale & enablement
More domains, governance operations and training for your team. We make ourselves redundant step by step.
What you get
Concrete results, not slides
Target architecture & decision template
Databricks or Fabric – reasoned, not gut feeling.
Landing zone as code
Terraform/Bicep, environments, networking, secrets, CI/CD.
Medallion data model
Bronze, silver, gold with documented metrics.
Governance & access concept
Unity Catalog / Purview, roles, lineage, GDPR & EU AI Act.
Self-service BI
Power BI semantic models everyone can rely on.
FinOps & operations
Monitoring, alerting, cost reporting and runbooks.
–70 %
less effort in monthly reporting for an industrial client
6 Wochen
On average from landing zone to the first gold data product
1 Team
team for architecture, data engineering, BI and AI
Business case
ROI calculator for your data platform
Answer four short questions, adjust the numbers to your reality and see live how cheaper AI projects, better governance, data-driven decisions and a GDPR-compliant AI gateway carry your business case.
Quick checkFour questions – we build your starting values from them. Everything stays adjustable afterwards.
Question 1/41How many AI & analytics projects are realistic per year?Everything from reporting automation to a productive model.
Ready for your business case?
Answer the four questions above to calculate your business case.
An initial indication — not a full business-case calculation
The calculator deliberately uses only a few variables. A robust business case depends on many more factors: data availability and quality, existing systems and interfaces, process maturity, rollout scope, change and training effort, operating model, regulatory requirements, and actual cost and contribution-margin structures. We review these factors together and then calculate the case using your real figures.
Frequently asked questions
Databricks or Fabric – what fits us?+
Fabric shines when Azure and Microsoft 365 are already in place and BI is the priority. Databricks is the better choice for large data volumes, streaming and demanding machine learning. In the assessment we decide this based on your workloads, skills and costs – not license interests.
Do we have to migrate everything before we see value?+
No. We build the platform around a concrete use case. Within 90 days at the latest, a productive data product is live, and the rest grows domain by domain.
What happens to our existing systems?+
We connect SAP, Salesforce, MES, IoT or legacy DWH via standard connectors. Existing reports are phased out gradually, not switched off overnight.
Do we need our own data team?+
Not at the start. We deliver architecture and operations, build your internal know-how in parallel, and hand over responsibility once you're ready.
Free initial consultation
Let's spend 30 minutes checking whether your data platform pays off.
You'll get an honest assessment of Databricks vs. Fabric, a rough architecture sketch and an effort/benefit calculation – free and without obligation.
- No sales pitch – you talk to real architects
- Result: a decision template for your management
- Typically able to start within 2 weeks