A once-in-a-decade chance to lower run-cost, raise decision-making agility, and build for the agentic era — where AI agents, not only people, consume and reason over your data.
SAP Business Data Cloud becomes the single, governed door to SAP data. Databricks becomes the core platform. Not a lift-and-shift — a rationalisation.
SAP → SAP BDC (governed gateway) and non-SAP direct → Databricks lakehouse → reports & dashboards, exploratory BI, Gen BI & AI.
These aren’t technical wiring to be ported — they are years of encoded business meaning. The goal is fewer, cleaner, governed data products, not a tidier monolith.
We score every object on value, usage, complexity and dependencies — then decide its shape. Harden the mission-critical few as rigid, reconciled products; build durable data products for the core; serve the long tail flexibly; and retire what’s unused.
About a quarter of objects are retired, not rebuilt — and an ad-hoc question becomes a governed pipeline only once it’s frequent and certified. The estate stops growing by default.
Turns rollout decisions into a governed foundation — workspaces, Unity Catalog, Terraform IaC, CI/CD and a DORA / GDPR / NIS2 / ISO 27001 compliance map — before the first object moves.
A fleet of specialised AI agents that documents the legacy estate, designs the target, then builds and tests on Databricks — while your experts sign off at three gates.
Three human sign-off gates: Document → Design → Build & test. Engineers stay focused on the complex 20%.
Fewer hand-built data products, and far less plumbing per question — while faster, context-grounded answers raise decision-making agility. Group Reporting stays a separate, careful track; Polaris remains your system of record until you decide otherwise.
Hands-on engineers, a proven Clear Path method, accelerators for the bulk work, and knowledge transfer so your teams own the result.
An indicative, part-by-part response to your RFI — our migration approach, target architecture, operating model, governance and pricing for the move from Polaris to Databricks.