Service · Data & Analytics
Data Apps & Pipelines
Tailored data-science and analytics applications, pipelines, and data products, built and run end-to-end.
Tailored applications, data products, and pipelines for your specific use case, from data ingestion to production delivery.
The situation
Data products rarely fail on the model. They fail on what comes after: connecting the source systems, data quality in daily use, operation, and the question of who still understands the thing a year from now.
How we work
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01
Question and data scope
We establish which decision the product is meant to support, and derive from that which data it genuinely needs and which it does not.
Deliverable: Scope with named sources and metrics
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02
Integration and modelling
Connecting source systems, modelling, and transformation, built for traceability rather than the shortest path to a first chart.
Deliverable: Tested data path from source to a usable model
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03
Application and delivery
The application people actually work in, together with orchestration and automated delivery into your target environment.
Deliverable: Production application with automated delivery
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04
Operation and handover
Monitoring, data-quality checks, and a handover after which your team can carry on independently.
Deliverable: Monitoring, quality checks, and documented handover
What you get
- · A production application or data product rather than a prototype
- · Tested and monitored data paths from source through to delivery
- · Automated delivery and continuous data-quality checks
- · Documentation and handover to your team
- · Operation by us for as long as you need it
Engagement
- Duration
- Depends on the number of source systems and operational requirements. Usable interim results come early.
- Getting started
- A conversation about the question, the source systems, and the target environment.
- Who is involved
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- · The business unit for the question and sign-off
- · Data and system owners for source access
- · Operations for handover and monitoring
- Format
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- · Iterative delivery with interim results that are usable early
- · Built in your target environment, cloud or on-premises
- · Handover to your team as part of the engagement
Frequently asked
- Do you run it in production as well?
- If you want us to, including monitoring and further development. Handover to your team works just as well, and the documentation is written for that from the start.
- Can you build on our existing pipelines?
- Usually yes, and it is normally cheaper than a rebuild. What holds up stays; what demonstrably does not meet the requirements gets replaced.
- Who owns the code, models, and results in the end?
- You do. Code, configuration, and documentation transfer to you in full, in your repositories and your environment. We build so your team can carry on without us.
- Where do our data and models run?
- In your environment. Your own cloud, your own data centre, or on-premises, in a Swiss or European region on request. Data leaves your environment only for the providers you explicitly approve.
- Do you work remotely or on-site?
- Both. We are based in Zürich and work on-site across Switzerland; the day-to-day of the engagement works remotely.
- Can we start with a small, bounded step?
- Yes, and that is the norm. The first slice is deliberately small so something usable exists early and the decision about the next step rests on experience rather than on a plan.