Most businesses run on SAP, but only use a fraction of their data. Applexus helps you move SAP data into Snowflake with its business meaning intact - so it's ready for reporting, analytics, and AI from day one.
Faster delivery with Celerix accelerators
Reporting continuity end-to-end
Business disruption during transition
Years of deep SAP expertise
Enterprises can migrate SAP data into Snowflake quickly. The challenge is preserving business logic, relationships, hierarchies, and semantics required for trusted reporting and AI.
SAP stores business data in highly complex structures.
Operational systems are not built for scalable analytics.
Operational systems are not built for scalable analytics.
AI requires governed and business-ready enterprise data.
Enterprise data exists, but remains difficult to use effectively.
- Snowflake-native architecture
- Governed data platform
- Enterprise governance
- Semantic preservation
- ELT pipelines
- Dynamic Tables
- RBAC
- Real-time ingestion
- Secure data sharing
- Snowpark
- Forecasting
- Trusted reporting
- ECC, S/4HANA, BW expertise
- Deep SAP business logic understanding
- Context preserved across transformation
- Pre-built SAP ingestion frameworks
- Faster modernization execution
- Reduced manual effort and rework
- Trusted reporting continuity
- Preserved KPIs and business logic
- Consistent enterprise insights
- Governed and structured SAP data
- Built for scalable analytics and AI
- Snowflake optimized architecture
Up to 60% faster delivery, lower implementation cost, and greater consistency built on years of SAP modernization experience.
- Pre-built accelerators for SAP extraction and ingestion
- Standardized frameworks for faster implementation
- Reduced manual effort and delivery rework
- Consistent and repeatable delivery across teams
- Faster time-to-value for business stakeholders
Faster Migration Delivery
Faster Data Processing
Better Forecast Accuracy
Production-Ready Intelligence
Applexus connects SAP business data with modern Snowflake platforms so analytics and AI are grounded in real business context.
The situation before us
- 369 SAP tables across 10 business functions
- Snowflake and Power BI reporting dependencies
- High risk of broken reports during ECC → S/4HANA transition
- Potential business trust and reporting disruption
What we delivered
- Dependency assessment and mapping
- Structured analytics retrofit strategy
- Validated Snowflake data models
- Verified Power BI reporting continuity
- Multi-level validation framework
- Zero disruption to business operations
- 100% reporting continuity
- Trusted Snowflake analytics from day one
- AI-ready enterprise data foundation