Cost and Value Lab

Là où le coût et l'architecture se rejoignent vraiment

Un scénario réaliste, pas un calculateur de prix. Découvrez ce qui pilote le coût, ce qui est comparable, et ce qui ne l'est pas.

Exemple illustratif

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.

Exposition: mostly fixed

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

Exposition: mostly variable

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

Exposition: mixed

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

Exposition: mixed

Engagement: Capacity-based pricing; needs sizing before commitment to avoid over- or under-provisioning.
Mouvement de données: Lowest if already inside the Microsoft ecosystem, higher if not.
Exploitation: 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

Un vrai Decision Sprint construit ce modèle à partir de vos contrats et de votre usage réels, pas d'une estimation générique.