Data Platform PoC — eight-week working slice
Eight-week implementation engagement that stands up a working data platform PoC against your real systems and proves it on one production-line slice. Code shipped, data flowing, dashboard live, ontology v1 deployed. Exits with named go/no-go criteria — not a sales push.
Duration
8 weeks (1 kickoff + 6 build + 1 acceptance / handover)
Who it's for
Sponsor + IT, data engineering, ops, QA — same stakeholder set as the Blueprint, plus a named operational user for the chosen use case
Format
Hybrid — onsite kickoff + onsite UAT, remote build weeks
What you get
Running software on real data, not a slide deck
Engagement size
4 A4BEE practitioners (Lead Architect + 2 Data Engineers + Validation Engineer)
Stack approach
Open-source-first — Kafka, Spark, Delta Lake, Superset, MLflow; per the Blueprint stack picks
Exit criterion
5-point "PoC done" definition with go/no-go for full implementation
Sign in to see the full scope
What you'll get, how we run it, the FAQ, and the book-now CTA are available to signed-in users. Free to register — and you get your assessment history in the same account.