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Business Data Cloud

The path from BW to intelligent enterprise

Move from BW/4HANA into SAP Business Data Cloud (BDC) without losing reporting fidelity. At Sapphire 2026, SAP made BDC the context layer of the new SAP Business AI Platform. Alongside the SAP Knowledge Graph, BDC is the governed data surface every Joule agent, and every AI you bring, reasons over. The unification layer that fixes your reporting is now the ground floor of enterprise AI.

Business Data Cloud sketch
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Why now

BW worked for 2014. Today's data work needs something different.

The reality for most SAP customers

  • Legacy BW or reporting tools that feel duct-taped together
  • Data silos that don't talk to each other
  • Rigid data models that require a ticket to add a new field
  • Up to 80% of analytics time spent rebuilding lost business context

What BDC actually gives you

  • Federated data access

    Real-time, no costly ETL process

  • Zero-copy architecture

    Minimal duplication, semantic models preserved

  • Open integration

    Compatibility with SAC, Power BI, Tableau, and more

  • AI-ready foundation

    Embedded Databricks, AI Core, and Joule

  • Business-centric semantics

    Models that match how your business actually thinks

  • Progressive migration

    Ability to move at your own pace from BW to BDC via PCE

Our view

SAP isn't investing further into BW. BW/4HANA stays supported into the next decade, but the platform is moving to BDC, not BW.

Capabilities

What we deliver in BDC.

Seven practices, end to end. Most are in production today, with the newest in active build.

BDC Strategy & Roadmap

We analyze your current-state architecture, set a future-state vision tied to business outcomes, and build a phased migration roadmap with milestones and ROI. We make the call about what stays, what moves, and when.

  • Architecture and source assessment
  • Phased migration roadmap
  • Licensing review
  • Data governance framework

Datasphere Implementation

Datasphere is the data fabric that makes BDC work. We design semantic models that preserve business context, build reusable data products by domain, and set up governance with row-level security.

  • Data fabric architecture
  • Semantic layer design
  • Data products by domain
  • S/4HANA + ECC + 3rd-party integration

SAP Analytics Cloud on BDC

SAC in BDC is the official UI for the intelligent enterprise. We build Story 2.0 dashboards on live Datasphere connections, with Joule-enhanced natural-language queries and self-service for business users.

  • Live Datasphere connections
  • Template stories users personalize
  • Planning + simulation integrated
  • Joule-powered insights

BW Migration via BW PCE

BW Private Cloud Edition is the on-ramp to BDC. We assess custom BW logic, develop dual-run strategies that protect business continuity, and migrate data models into Datasphere data products.

  • BW PCE setup, support through 2030
  • BW to Datasphere transformation roadmap
  • Custom logic preservation
  • Parallel-run validation and cutover

Databricks + Advanced Analytics

SAP Databricks within BDC brings AI/ML to semantically rich SAP data. We configure managed Databricks instances, implement delta sharing, and develop ML models that train on business-context-aware data.

  • SAP-managed Databricks setup
  • Delta Lake and Delta Share
  • ML models on Apache Spark
  • Predictive workflows and decisioning

Intelligent Applications

We build AI apps on top of BDC: Finance Intelligence for anomaly detection and cash-flow prediction, Supply Chain Intelligence for demand forecasting, and Revenue and People Intelligence on curated data products.

  • Curated data products with context
  • Joule for natural-language interaction
  • Embedded predictive ML
  • AppHaus-designed UX

Governance + Adoption

The goal is adoption. We set up data governance with lineage and compliance, define KPIs once that get used everywhere, train by role, and track usage so the platform keeps improving.

  • Data lineage and compliance
  • Semantic governance
  • Role-based training
  • Adoption analytics and feedback loops
Real impact

Results from our BDC work.

CloroxClorox

Real-time finance analytics on Datasphere replaced a fragmented close process. SAP referenced the work in their own BDC materials.

7 days 4 days

ERP close cycle

Manufacturing enterprise

Phased BDC migration via BW PCE replaced rigid models and the IT-as-report-factory pattern. Business users now build their own reports.

60%

faster report generation

Energy company

BDC federates across ECC, SuccessFactors, and operational systems, with Databricks ML running predictive equipment maintenance.

Real-time

operational insight

How we engage

The Mindset BDC journey.

Four phases, each with clear deliverables. None of them is a six-month "discovery."

  1. Phase 1

    Discovery & Assessment

    2-4 weeks

    We map your current architecture, sources, and landscape. Stakeholder interviews and a design-thinking workshop surface the real problems. You leave with a readiness assessment, preliminary roadmap, and a business case with ROI projections.

  2. Phase 2

    Strategy & Design

    4-6 weeks

    You get future-state architecture, semantic model definitions, a data product strategy by business domain, a governance and security framework, a phased migration plan with milestones, and a licensing review.

  3. Phase 3

    Implementation

    12-24 weeks, phased

    We'll provide Datasphere configuration and data integration, SAC dashboards with live connections, BW PCE migration where needed, and Databricks setup for AI/ML. With role-based user training, people will actually be able to use it.

  4. Phase 4

    Adoption & Evolution

    Ongoing

    Usage monitoring, self-service expansion, ongoing data product development by business need, performance tuning, and strategic advisory as your BDC ecosystem matures.

Common questions

About SAP Business Data Cloud.

What is SAP Business Data Cloud?
BDC is SAP's latest data platform. It combines Datasphere, SAP Analytics Cloud, BW Private Cloud Edition, and Databricks into one governed SaaS environment for enterprise analytics and AI. It pulls together, models, and analyzes data across SAP and non-SAP systems in real-time.
We're still on BW/BW4. Do we need to migrate now?
No urgent rush. BW/4HANA is supported through 2030+. But SAP isn't investing in new BW features. BDC is where the platform is going. We help clients plan phased, non-disruptive migrations that maintain business continuity while positioning for what comes next.
How is BDC different from Datasphere?
Datasphere is one component of BDC, the data fabric layer. BDC is the complete package: Datasphere plus SAP Analytics Cloud plus BW PCE plus Databricks plus intelligent applications, all under one license with unified governance and integrated AI. Datasphere is the engine, BDC is the vehicle.
Can BDC work with Power BI and Tableau?
Yes. BDC supports open integration with Power BI, Tableau, Qlik, and other third-party BI tools. SAC offers native advantages when paired with BDC (live connections, semantic integration, Joule AI), but the platform is built to work with whatever mix you run.
Recent thinking

From our Insights.

All Insights

Presented publicly

From the SAP stage.

Talks our team gave on this topic at SAP events. Slides included.

Talk to a Business Data Cloud partner.

Our first call is a working session, not a pitch. Bring a real problem and let’s whiteboard it together.