Apr 24, 2026
•3 minute read
BigQuery
SAP, Google Cloud Target AI-First Customer ExperiencesSAP and Google Cloud are expanding their partnership to deliver an open, agent-driven AI customer experience that combines SAP business data, Joule assistants and Google’s Gemini models across marketing, sales and service.
How Fivetran Powers Real-Time Insights at LVMHLVMH is modernizing its complex, decentralized data infrastructure by implementing Fivetran to unify its data landscape across its 75 brands, enhance operational efficiency, and improve customer insights, thereby driving real-time decision-making and facilitating a more personalized customer experience.
Apr 29, 2025
•3 minute read
SAP and Google Cloud Reshape Enterprise AI with Open Innovation and Multimodal IntelligenceSAP and Google Cloud are collaborating to create a flexible and interoperable AI foundation for enterprises, featuring the Agent2Agent (A2A) protocol for seamless AI agent collaboration, expanded integration of Google’s Gemini models for tailored AI applications, and enhanced multimodal intelligence capabilities to improve enterprise learning and operational efficiency.
Apr 18, 2025
•4 minute read
Unlocking SAP Data: How Fivetran Makes Real-Time Analytics a RealityFivetran automates the integration and synchronization of SAP data into analytics platforms, addressing traditional challenges of data latency and complexity, thereby enabling organizations to access real-time insights and foster agile decision-making across their operations.
Mar 26, 2025
•4 minute read
Innovating AI-driven Applications with Fivetran’s SAP Data ReplicationA Southeast Asian retailer enhanced its data management by integrating SAP and other data sources into a Google Cloud-based data lakehouse using Fivetran, resulting in real-time sales visibility, significant productivity gains, and a 32% increase in year-over-year total sales during Black Friday 2023.
May 30, 2024
•3 minute read
Unifying Data Sources for Accurate Near-Term Demand Forecasting with Google CloudIn the domain of demand planning within SAP systems, there is a growing recognition of the need to incorporate external data sources alongside traditional internal ones. This approach is encouraged by Google Cloud’s "Better Together" partnership with SAP, which promotes integrating external datasets, such as real-time weather updates and marketing trends, with SAP’s internal data. This integration helps organizations capture a fuller picture of the factors influencing demand, such as external events and consumer behavior shifts.
The use of Cortex Demand Sensing within this framework provides organizations with tools like impact alerts, which notify of forecast anomalies driven by factors like unexpected weather or promotional activities. Further, integration with Google Cloud tools such as BigQuery, Vertex AI, and Looker enriches data analysis, enabling the identification of key demand drivers and enhancing predictive model accuracy. This holistic data approach aids in optimizing various business aspects, including promotions, inventory control, and demand-supply balance, ultimately leading to better demand forecasting accuracy.
Apr 29, 2024
•1 minute read
Research
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