SAP Datasphere Consulting
Transform Your Data Landscape with SAP Datasphere
SAP Datasphere (formerly Data Warehouse Cloud) is SAP’s next-generation data service that enables enterprises to access and integrate business data seamlessly across the entire data landscape. We help you leverage Datasphere to create a unified business data fabric.
Our Datasphere Services
BW to Datasphere Migration
Seamlessly transition from SAP BW to Datasphere while preserving your analytics investments:
- Complete migration assessment and roadmap development
- Data model conversion and optimization
- ETL process migration (DTP, Process Chains → Data Flows)
- InfoProvider migration to Datasphere views
- Query and report migration to SAC
- Parallel run and validation
- Knowledge transfer and training
Typical Duration: 3-6 months depending on complexity
Data Fabric Architecture
Design and implement comprehensive data fabric solutions:
- Multi-source data integration (SAP and non-SAP)
- Semantic layer design and implementation
- Business entity modeling
- Data federation vs. replication strategy
- Real-time and batch integration patterns
- Data governance framework setup
Datasphere Implementation
End-to-end Datasphere deployment from scratch:
- Discovery: Requirements gathering, data source inventory, use case prioritization
- Design: Architecture design, data modeling, security model, integration patterns
- Build: Space setup, connection configuration, data flow development, view creation
- Deploy: Testing, performance optimization, user training, go-live support
Integration Services
Connect Datasphere to your complete data ecosystem:
- SAP S/4HANA, ECC, CRM, SRM connectivity
- Third-party databases (Oracle, SQL Server, PostgreSQL)
- Cloud data sources (Snowflake, Azure, AWS, Google Cloud)
- Real-time replication setup (SLT, Replication Flows)
- SAP Analytics Cloud integration
- REST API development for custom sources
Key Benefits
Unified Data Access
Single access point for all business data without complex data movement
Real-Time Insights
Live connections and real-time replication for up-to-the-minute analytics
Lower TCO
Reduced infrastructure costs with cloud-native architecture and consumption-based pricing
Accelerated Time-to-Value
Pre-built content, templates, and accelerators for faster deployment
Future-Proof Platform
Modern, cloud-native architecture aligned with SAP’s strategic direction
Our Approach
1. Assessment & Planning (Weeks 1-2)
- Current state analysis
- Data source inventory
- Use case workshop
- Migration vs. greenfield decision
- Roadmap development
2. Architecture Design (Weeks 3-4)
- Conceptual and logical data models
- Integration architecture
- Security and authorization design
- Performance optimization strategy
3. Iterative Development (Weeks 5-12+)
- Agile sprint-based development
- Regular stakeholder demos
- Continuous testing and validation
- Performance tuning
4. Deployment & Enablement (Weeks 13-14)
- Production deployment
- User training
- Documentation delivery
- Hypercare support
Datasphere Features We Leverage
Data Builder
- Graphical data flow design
- View creation (dimension, analytical, text)
- Data transformations and calculations
- Preview and validation tools
Business Builder
- Business entity modeling
- KPI and measure definitions
- Business glossary
- Fact and dimension relationships
Data Integration
- Remote connections (50+ source types)
- Replication flows
- Data flow orchestration
- Monitoring and alerting
Data Marketplace
- Pre-packaged data products
- Data sharing across spaces
- Data monetization capabilities
Common Use Cases
SAP BW Modernization
Migrate aging BW systems to modern Datasphere platform with improved performance and reduced costs.
Multi-Source Analytics
Combine SAP and non-SAP data (Salesforce, databases, cloud platforms) for unified analytics in SAC.
Self-Service Data Preparation
Enable business users to prepare and model their own data without IT bottlenecks.
Data Harmonization
Create golden records and unified views across disparate source systems.
Real-Time Operational Reporting
Leverage live data connections for up-to-the-minute business monitoring.
Why Choose Varnika for Datasphere?
Deep BW Knowledge
Our BW expertise ensures smooth migration and leverages years of data warehouse knowledge.
SAC Integration Expert
We seamlessly connect Datasphere to SAC for complete analytics solutions.
Proven Methodologies
Battle-tested migration and implementation approaches refined through multiple projects.
Technologies & Tools
- SAP Datasphere (Data Warehouse Cloud)
- SAP BW, BW/4HANA
- SAP HANA Cloud
- SAP Analytics Cloud
- SAP Data Intelligence (DI)
- SAP Landscape Transformation (SLT)
- SAP BTP Integration Suite
Pricing Models
Fixed-Price Migration
Well-defined BW to Datasphere migration with clear scope and deliverables.
Time & Materials Implementation
Flexible engagement for complex, evolving requirements with discovery phase.
Advisory Retainer
Ongoing support, optimization, and best practices guidance for existing Datasphere environments.
Case Study Preview
Global Manufacturing Company
Challenge: Aging BW system, high infrastructure costs, slow query performance
Solution: Migrated to Datasphere with data fabric architecture connecting 12 sources
Results: 60% cost reduction, 10x faster queries, real-time analytics enabled
Ready to Modernize Your Data Platform?
Let’s discuss your Datasphere journey - whether you’re migrating from BW, building new analytics capabilities, or optimizing existing implementations.
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Frequently Asked Questions
Q: Should we migrate from BW to Datasphere or stay on BW/4HANA?
A: Depends on your strategy. Datasphere is cloud-native with consumption pricing, ideal for cloud-first organizations. BW/4HANA is better for on-premise strategies with complex BW investments. We help you evaluate based on your specific situation.
Q: Can Datasphere replace our entire data warehouse?
A: For many use cases, yes. Datasphere supports both data virtualization (federation) and data persistence (replication). We assess your requirements to determine the right balance.
Q: How long does a typical BW to Datasphere migration take?
A: Varies by complexity. Small BW systems: 6-12 weeks. Medium complexity: 3-4 months. Large enterprises with complex BW: 6-12 months. We provide detailed estimates after assessment.
Q: Do you support ongoing Datasphere operations post-implementation?
A: Yes, we offer retainer-based support for ongoing optimization, troubleshooting, and enhancement requests.
Varnika IT Consulting - Your Datasphere Transformation Partner