Modernizing the enterprise core to maximize data value
This partnership enables organizations to transition from legacy on-premises environments to a managed, cloud-native model engineered for data excellence. By deploying RISE with SAP on Google Cloud, businesses reduce technical debt while ensuring their most critical operations are supported by a secure, highly resilient, and analytics-ready foundation.
Présentation
Move your mission-critical SAP workloads to a platform designed for high scalability and uninterrupted business continuity.
Moving to Google Cloud establishes a pristine, cloud-native ERP foundation that connects natively to BigQuery, turning a modernization project into a strategic data monetization engine.
Protect your enterprise core, reduce operational costs, and meet corporate ESG targets on a cloud built for the future.
Fonctionnement
Unlocking agility with SAP and Google Cloud
The transition to an intelligent, agentic enterprise requires modernizing your core. Here is how the partnership delivers:
How to predict disruptions: Combine SAP supply chain data with Google Cloud's external signals (like weather, public holidays, or search trends) to anticipate delays.
How to prevent stockouts: Build Vertex AI models that automatically identify inventory risks and recommend stock rebalancing.
How to automate adjustments: Use Gemini to automatically draft purchase order modifications when real-time demand shifts.
How to predict disruptions: Combine SAP supply chain data with Google Cloud's external signals (like weather, public holidays, or search trends) to anticipate delays.
How to prevent stockouts: Build Vertex AI models that automatically identify inventory risks and recommend stock rebalancing.
How to automate adjustments: Use Gemini to automatically draft purchase order modifications when real-time demand shifts.
How to accelerate the financial close: Ingest SAP ERP data into BigQuery to run massive, real-time financial reconciliations in seconds rather than hours.
How to detect anomalies: Deploy machine learning models to automatically flag irregular expenses, duplicate invoices, or potential fraud.
How to simplify reporting: Use Gemini to instantly generate plain-language financial summaries and executive reports from complex SAP data.
How to accelerate the financial close: Ingest SAP ERP data into BigQuery to run massive, real-time financial reconciliations in seconds rather than hours.
How to detect anomalies: Deploy machine learning models to automatically flag irregular expenses, duplicate invoices, or potential fraud.
How to simplify reporting: Use Gemini to instantly generate plain-language financial summaries and executive reports from complex SAP data.
How to monitor equipment health: Stream real-time IoT sensor data from the factory floor directly into SAP Plant Maintenance using Google Cloud.
How to forecast breakdowns: Train machine learning models on historical SAP data to identify specific wear-and-tear patterns before machines fail.
How to automate dispatch: Set up intelligent triggers that automatically generate service tickets and dispatch technicians the moment an anomaly is detected.
How to monitor equipment health: Stream real-time IoT sensor data from the factory floor directly into SAP Plant Maintenance using Google Cloud.
How to forecast breakdowns: Train machine learning models on historical SAP data to identify specific wear-and-tear patterns before machines fail.
How to automate dispatch: Set up intelligent triggers that automatically generate service tickets and dispatch technicians the moment an anomaly is detected.
How to monitor global threats: Use Google AI to analyze global news, geopolitical events, and market trends for potential supplier disruptions.
How to secure alternatives: Cross-reference external risk scores with SAP procurement data to instantly identify and rank backup vendors.
How to manage communications: Leverage conversational AI to automate outreach and contingency planning with suppliers during a crisis.
How to monitor global threats: Use Google AI to analyze global news, geopolitical events, and market trends for potential supplier disruptions.
How to secure alternatives: Cross-reference external risk scores with SAP procurement data to instantly identify and rank backup vendors.
How to manage communications: Leverage conversational AI to automate outreach and contingency planning with suppliers during a crisis.
How to centralize emissions data: Consolidate global energy usage, fleet telemetry, and SAP supply chain data into a single, real-time dashboard.
How to enrich environmental context: Combine your SAP operational data with Google Earth Engine insights to map and track your physical environmental impact.
How to automate compliance: Use generative AI to draft complex, regulatory-ready ESG reports based on real-time data inputs.
How to centralize emissions data: Consolidate global energy usage, fleet telemetry, and SAP supply chain data into a single, real-time dashboard.
How to enrich environmental context: Combine your SAP operational data with Google Earth Engine insights to map and track your physical environmental impact.
How to automate compliance: Use generative AI to draft complex, regulatory-ready ESG reports based on real-time data inputs.