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.
Overview
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.
How It Works
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.