PILLAR 04

SAP Business Data Cloud & Datasphere

Preserve business meaning while opening data for analytics and AI.

SAP PRODUCT DIRECTION

The technology foundation

SAP Business Data Cloud is positioned as a governed business data fabric for SAP and third-party data, providing a trusted foundation for analytics and agentic AI. SAP Datasphere is its knowledge core for integration, semantic modelling and reusable data products across hybrid and multi-cloud landscapes.

THE NuvatriX.AI INTELLIGENCE BLEND

How we turn capability into customer value

NuvatriX.AI treats semantic context as a business asset. We help customers define which data should remain close to the source, which should become a governed data product and how SAP and open data platforms can work together without creating another layer of duplication.

Our approach connects BW and BW/4HANA modernization, Datasphere modelling, SAP-managed data products, Databricks or hyperscaler services, and SAC consumption to the AI use cases that need trusted context.

BUSINESS DATA DELIVERY ARCHITECTURE

From distributed sources to trusted, reusable business data products.

We preserve SAP business meaning while connecting operational, analytical and open data services for analytics, planning and AI consumption.

HOW WE SERVE

From strategic intent
to an executable design.

Our senior-led approach connects business ownership, SAP architecture, trusted data and measurable adoption.

01

Business data fabric

Design domains, ownership, access and semantic reuse across SAP and third-party data.

02

Data products

Prioritize reusable finance, customer, supply, workforce and operational data products.

03

BW modernization

Choose a practical coexistence and transition path that protects current reporting value.

04

Open ecosystem design

Position Datasphere, SAP Databricks and external platforms by workload and responsibility.

AI SCENARIO VIDEO

Create a trusted finance data product

See SAP and non-SAP data become one governed product while preserving semantics for analytics and AI.

VALUE IN MOTION

Use cases shaped
around real work.

Representative patterns are tailored to your landscape, controls, data readiness and business priorities.

01

Finance data product

Unify actual, plan, master and operational drivers with consistent finance semantics.

02

Customer profitability

Connect revenue, cost-to-serve and commercial data without losing source context.

03

AI-ready knowledge layer

Ground agents and models in governed data, policies, metadata and business relationships.

WHAT WE DELIVER

Artifacts your teams can use.

  • BDC readiness and landscape assessment
  • Target business data fabric architecture
  • Priority data-product catalogue
  • BW modernization and coexistence roadmap
  • Governance, security and operating model
DESIGNED OUTCOMES
01Trusted cross-domain data
02Less semantic rework
03Faster analytics delivery
04Reliable AI grounding
Start with BDC Readiness Blueprint