AWS re:Invent 2025 - Unlocking business value by integrating SAP and non-SAP data sources (MAM213)

Unlocking Business Value by Integrating SAP and Non-SAP Data Sources

Overview

• This presentation explores strategies for organizations to unlock the full potential of their data by integrating SAP and non-SAP data sources.
• The key focus is on how to leverage AWS services and solutions to enable seamless data integration, analytics, and insights across the enterprise.

Challenges of Siloed Data

• Many organizations struggle with data silos, where critical information is trapped in disparate systems and applications.
• This fragmentation makes it difficult to gain a comprehensive view of the business and make informed, data-driven decisions.
• Integrating SAP data with other non-SAP sources, such as CRM, ERP, and IoT data, is a common pain point.

Integrated Data Landscape

• The presentation outlines a holistic approach to building an integrated data landscape that connects SAP and non-SAP data sources.
• This involves leveraging AWS services like Amazon Redshift, Amazon Athena, and AWS Glue to ingest, transform, and analyze data from multiple sources.
• By creating a centralized data hub, organizations can break down silos and enable cross-functional insights.

Benefits of Integrated Data

• Improved decision-making: Access to a comprehensive, real-time view of the business enables more informed, data-driven decisions.
• Enhanced operational efficiency: Streamlined data integration and analytics workflows lead to faster insights and better process optimization.
• Increased agility: The ability to quickly connect new data sources and adapt to changing business requirements.
• Competitive advantage: Leveraging integrated data to uncover new opportunities, optimize operations, and deliver superior customer experiences.

Technical Approach

1. Data Ingestion: Utilize AWS services like Amazon S3, AWS Glue, and Amazon Kinesis to ingest data from various sources, including SAP, CRM, ERP, and IoT systems.
2. Data Transformation: Employ AWS Glue and Amazon Athena to transform and prepare the data for analysis, ensuring data quality and consistency.
3. Data Storage: Store the integrated data in a centralized data lake on Amazon S3, enabling scalable and cost-effective data storage.
4. Data Analytics: Leverage Amazon Redshift for high-performance analytics and reporting, and Amazon QuickSight for interactive dashboards and visualizations.
5. Data Governance: Implement robust data governance practices using AWS services like AWS Lake Formation and AWS Glue Data Catalog to ensure data security, compliance, and lineage.

Use Cases and Examples

1. Supply Chain Optimization: Integrate SAP ERP data with IoT sensor data and external market information to optimize inventory levels, logistics, and supplier relationships.
2. Customer 360: Combine SAP CRM data with web analytics, social media, and customer service data to gain a comprehensive understanding of customer behavior and preferences.
3. Predictive Maintenance: Integrate SAP plant maintenance data with IoT sensor data to predict equipment failures and schedule proactive maintenance, reducing downtime and costs.

Key Takeaways

• Integrating SAP and non-SAP data sources is crucial for unlocking the full potential of enterprise data.
• AWS provides a comprehensive set of services and solutions to enable seamless data integration, transformation, and analytics.
• By creating a centralized, integrated data landscape, organizations can improve decision-making, enhance operational efficiency, and gain a competitive edge.
• Successful implementation requires a holistic approach, including data ingestion, transformation, storage, analytics, and governance.
• Real-world use cases demonstrate the tangible business benefits of integrated data, such as supply chain optimization, customer insights, and predictive maintenance.