In the modern enterprise, data is the lifeblood that drives innovation, customer engagement, and competitive advantage. However, data is often dispersed across multiple sources—on-premise systems, cloud platforms, third-party applications, IoT devices, and big data repositories. Integrating this heterogeneous data efficiently and intelligently is critical for gaining timely, accurate insights.
SAP Data Intelligence is SAP’s next-generation, cloud-native data integration and management solution. As a key component of the SAP Data Management Suite, it extends traditional integration capabilities by embedding machine learning, metadata-driven automation, and enterprise-grade governance, enabling truly advanced data integration.
SAP Data Intelligence is an enterprise-wide data orchestration and management platform designed to:
- Connect and integrate data from any source or format
- Prepare and transform data for advanced analytics and AI/ML workloads
- Automate data workflows with intelligent pipelines
- Govern data assets securely and compliantly
- Provide end-to-end metadata management and data lineage
Built on a microservices architecture and powered by Kubernetes, SAP Data Intelligence offers scalable, flexible deployment options across cloud and hybrid landscapes.
¶ 1. Broad Connectivity and Data Access
SAP Data Intelligence supports connectivity to hundreds of data sources, including:
- SAP systems (SAP S/4HANA, SAP BW/4HANA, SAP Data Warehouse Cloud)
- Cloud storage and services (AWS S3, Azure Data Lake, Google Cloud Storage)
- Big data platforms (Hadoop, Kafka, HDFS)
- Relational databases and NoSQL stores
- Streaming platforms and IoT devices
This extensive connectivity allows enterprises to integrate structured, semi-structured, and unstructured data seamlessly.
The platform’s metadata management capabilities enable intelligent automation:
- Automatic discovery of data assets
- Cataloging and indexing data for easy search and reuse
- Tracking data lineage to understand transformation and usage history
- Enabling data quality checks and compliance controls based on metadata
This metadata-driven approach reduces manual intervention, improving speed and reliability.
¶ 3. Visual Pipeline Orchestration and Automation
Using a low-code modeler interface, users can design complex data pipelines that:
- Extract, transform, and load (ETL) data across systems
- Include AI/ML preprocessing steps directly within the data workflows
- Integrate streaming and batch data in unified pipelines
- Automate error handling, retries, and notifications
This empowers data engineers and citizen integrators to build scalable, maintainable workflows rapidly.
¶ 4. Embedded Machine Learning and Data Science
SAP Data Intelligence uniquely integrates with SAP’s AI and ML services, enabling:
- Data enrichment with predictive analytics inside pipelines
- Model training, deployment, and monitoring directly within the integration environment
- Collaboration between data engineers and data scientists on a shared platform
This convergence of data integration and AI accelerates intelligent data-driven business processes.
¶ 5. Enterprise-Grade Governance and Security
With integrated data governance, SAP Data Intelligence ensures:
- Role-based access control and encryption
- Audit trails for data access and pipeline execution
- Compliance with regulations like GDPR and HIPAA
- Integration with SAP Information Steward and SAP Data Hub for comprehensive data governance
This secure foundation builds trust in data and meets enterprise regulatory needs.
- Unified Customer 360: Consolidate customer data from CRM, marketing platforms, and transactional systems for a complete view.
- IoT Analytics: Ingest, cleanse, and analyze sensor data in real-time, feeding predictive maintenance models.
- Cloud Data Orchestration: Manage hybrid cloud data landscapes with automated pipelines moving data seamlessly between on-premise and cloud platforms.
- Regulatory Reporting: Automate data lineage and quality checks to ensure compliant financial and operational reporting.
- AI-Driven Insights: Embed machine learning workflows directly in data pipelines for real-time anomaly detection and forecasting.
- End-to-End Data Integration: From data ingestion to transformation, enrichment, and consumption in a single platform.
- Accelerated Innovation: Embed AI/ML capabilities to create smarter data workflows.
- Improved Data Governance: Metadata-driven lineage and cataloging enforce compliance and trust.
- Reduced Complexity: Low-code environment democratizes data integration beyond IT specialists.
- Scalability and Flexibility: Cloud-native architecture adapts to enterprise-scale data demands.
As enterprises deal with increasingly complex and distributed data ecosystems, advanced data integration becomes essential for unlocking business value. SAP Data Intelligence, with its intelligent automation, metadata-centric design, and integrated AI capabilities, represents the future of data integration within the SAP Data Management Suite.
By providing a unified, scalable platform that bridges traditional data integration with modern data science and governance, SAP Data Intelligence empowers organizations to become truly data-driven—transforming raw data into trusted insights and innovation.