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