In the era of data-driven decision-making, the ability to seamlessly connect innovative digital technologies with advanced analytics platforms is essential. SAP Leonardo, SAP’s digital innovation system, offers cutting-edge capabilities such as IoT, machine learning, and blockchain to transform business processes. To maximize the value of these innovations, integrating SAP Leonardo with SAP Analytics Cloud (SAC) allows organizations to visualize, analyze, and derive insights from Leonardo’s data in a unified environment. This article explores the process and benefits of integrating SAP Leonardo with SAP Analytics Cloud.
SAP Leonardo generates large volumes of real-time and historical data from connected devices, intelligent applications, and digital processes. SAP Analytics Cloud complements this by providing a cloud-based analytics platform that supports data visualization, business intelligence (BI), planning, and predictive analytics.
Integration enables:
- Real-time monitoring of IoT data and business KPIs.
- Advanced analytics on machine learning outputs.
- Unified dashboards for holistic business insights.
- Enhanced decision-making through interactive reports and predictive models.
Before integrating SAP Leonardo with SAP Analytics Cloud, ensure the following:
- Access to SAP Cloud Platform (SAP BTP) with enabled SAP Leonardo IoT and Analytics services.
- Valid SAP Analytics Cloud tenant with appropriate user roles.
- Connectivity setup between SAP Leonardo IoT service and SAP Analytics Cloud.
- Proper authorization and security configurations (OAuth tokens, certificates).
- In the SAP Cloud Platform Cockpit, access your SAP Leonardo IoT service.
- Define your IoT devices, sensors, and data streams.
- Ensure that sensor data and business context data are properly modeled and available for extraction.
- SAP Leonardo IoT service provides OData endpoints for accessing IoT data.
- Configure these services to expose the required data sets such as sensor readings, device status, and event logs.
- Test the OData services to ensure data accessibility.
- Log in to SAP Analytics Cloud.
- Navigate to Connections and create a new connection of type OData Services.
- Enter the URL for the SAP Leonardo IoT OData endpoint.
- Configure authentication (Basic, OAuth, or SAML) as per your SAP Leonardo service setup.
- Test the connection to verify successful integration.
- Once connected, create models in SAC based on the imported IoT data.
- Define measures, dimensions, and calculated columns relevant to your analytics requirements.
- Set up data refresh schedules to keep analytics up to date.
¶ 5. Build Visualizations and Dashboards
- Use SAP Analytics Cloud’s visualization tools to create interactive charts, maps, and KPI tiles.
- Combine SAP Leonardo IoT data with other enterprise data sources for comprehensive dashboards.
- Enable alerts and threshold-based triggers for proactive monitoring.
- Leverage SAC’s built-in predictive analytics features on SAP Leonardo data.
- Create predictive models for maintenance forecasting, anomaly detection, or demand prediction.
- Integrate machine learning insights back into SAP Leonardo workflows for automation.
- Unified Insight: Combine IoT-generated data with business and financial data for richer analysis.
- Real-Time Monitoring: Access live data streams for timely operational decisions.
- Improved Collaboration: Share interactive reports and insights across departments.
- Agility and Innovation: Accelerate digital transformation by linking innovation data with business intelligence.
Integrating SAP Leonardo with SAP Analytics Cloud bridges the gap between digital innovation and actionable insights. This synergy empowers organizations to harness the full power of IoT, machine learning, and analytics in a cohesive, scalable, and user-friendly platform. By following the integration steps outlined above, businesses can unlock new levels of transparency, efficiency, and predictive power—key ingredients for thriving in today’s digital economy.