What We Deliver
Scitis Group’s Data Lakehouse Solution for SAP empowers enterprises to integrate, govern, and analyze SAP and non-SAP data at scale using AWS-native services. Our offering enables a modern data architecture to unify structured SAP data (from SAP S/4HANA, SAP BW, SAP ECC) with data from operational systems, enterprise applications, and cloud sources.
This solution provides:
- Centralized data lakehouse architecture with Amazon S3, Glue, Lake Formation, and Redshift
- Seamless integration with SAP systems via AWS Glue, AppFlow, or SAP Data Services
- Data governance & lineage using Lake Formation, Step Functions, and EventBridge
- Real-time analytics with Amazon Athena and Redshift
- Scalable pipelines and orchestration with Lambda and Step Functions
- Multi-source ingestion Including Salesforce, Oracle ERP, Workday, ServiceNow, PostgreSQL, MongoDB, DynamoDB, and Snowflake
Use Cases
- Real-time analytics over SAP and enterprise data
- Predictive insights combining IoT and ERP data
- Unified data layer for AI/ML and BI
- Migration from legacy BI to cloud-native architectures
AWS Value Proposition
- Faster time to insight with serverless analytics
- Reduced TCO by decoupling storage and compute
- Simplified governance with fine-grained access control
- Seamless scale and performance without provisioning infrastructure
Who Is This For
Our Data Lakehouse Solution is designed for medium and large enterprises that:
- Operate SAP ERP or BW systems and seek modern analytics capabilities
- Require integration between SAP and enterprise SaaS platforms
- Face challenges with siloed data across departments and systems
- Are pursuing cloud modernization strategies using AWS
Target industries: Manufacturing, Retail, Financial Services, Healthcare, and Oil & Gas.
Typical customer profiles:
- CIOs and IT Directors leading digital transformation initiatives
- Data & Analytics Leaders aiming to unify SAP and non-SAP data
- Enterprise Architects modernizing data platforms
- Business Intelligence and Finance teams requiring better reporting
How We Deliver It
This is a consulting-based service offering by Scitis Group. Once a client engages with us, we follow this structured delivery process:
- Discovery Call: We assess the client’s SAP and non-SAP ecosystem and analytics goals.
- Proposal & SoW: A Statement of Work (SoW) is created with clear timelines, architecture, and milestones.
- Implementation: Our AWS-certified experts deploy the solution components in the customer’s AWS account.
- Enablement: We provide documentation, training, and handover to ensure customer success.
- Ongoing Support (optional): We offer post-deployment support and enhancements if required.
We use a blend of Agile and milestone-based methodologies, ensuring full transparency and alignment with customer goals. Our delivery includes CI/CD practices, Infrastructure as Code (IaC), and integration with AWS-native monitoring tools such as CloudWatch and CloudTrail.
Architecture Diagram
Customer Reference
“This solution has been successfully implemented for a leading regional manufacturer with SAP S/4HANA Rise, enabling them to reduce reporting latency from 12 hours to under 30 minutes.”
