Cost and Value Lab

Wo Kosten und Architektur wirklich zusammenhängen

Ein realistisches Szenario, kein Preisrechner. Sehen Sie, was Kosten treibt, was vergleichbar ist, und was nicht.

Illustratives Beispiel

Data platform for a mid-size enterprise

15 TB of governed data300 BI users50 data engineersGrowing AI workloadsSAP integration requiredEU data residency required

The largest and least predictable driver once AI workloads scale beyond pilots.

Moving data across regions or platforms to satisfy residency requirements adds cost that's easy to underestimate.

300 BI users querying concurrently drives compute differently than a smaller, steadier workload.

SAP integration depth changes implementation cost more than the platform choice itself.

Risikoexposition: mostly fixed

Verpflichtung: Bundled with existing SAP commercial agreements, less exposure to standalone consumption spikes.
Datenbewegung: Lowest data movement cost for SAP-native data, since it stays close to source.
Betrieb: Lower operations overhead, more of the platform is managed.

Risikoexposition: mostly variable

Verpflichtung: Consumption-based; AI workload growth directly drives spend unless actively governed.
Datenbewegung: Moderate, depends on source system proximity to the chosen cloud region.
Betrieb: Higher operations overhead, more configuration and tuning responsibility.

Risikoexposition: mixed

Verpflichtung: Credit-based consumption with optional capacity commitments that reduce unit cost.
Datenbewegung: Moderate, cross-cloud data sharing can add movement cost.
Betrieb: Lower operations overhead for core analytics; AI workloads add more.

Risikoexposition: mixed

Verpflichtung: Capacity-based pricing; needs sizing before commitment to avoid over- or under-provisioning.
Datenbewegung: Lowest if already inside the Microsoft ecosystem, higher if not.
Betrieb: Lower operations overhead where Microsoft tooling is already standard.

List prices alone, without factoring in existing commercial agreements and discounts
AI compute costs across platforms without a defined workload profile, since usage patterns vary widely
Implementation cost estimates without a validated integration scope

Ein echter Decision Sprint baut dieses Modell aus Ihren tatsächlichen Verträgen und Ihrer Nutzung, nicht aus einer generischen Schätzung.