DK Business Network
In a groundbreaking move poised to redefine enterprise data management and artificial intelligence (AI), SAP and Databricks have announced a strategic partnership to launch the SAP Business Data Cloud. This fully managed software-as-a-service (SaaS) solution aims to unify and govern all SAP data while seamlessly integrating third-party data, providing organizations with a trusted foundation for impactful decision-making and reliable AI applications.
The SAP Business Data Cloud represents an evolution of SAP’s existing data, planning, and analytics solutions. It consolidates SAP Datasphere, SAP Analytics Cloud, and SAP Business Warehouse into a unified experience, delivering transformative insights across all business lines. By embedding Databricks’ technology for data engineering, machine learning, and AI workloads directly into the platform, this collaboration bridges the gap between mission-critical business data and advanced data processing capabilities.
Christian Klein, CEO of SAP, emphasized the significance of this partnership: “SAP Business Data Cloud unleashes the full value of enterprise data for Business AI. It combines SAP’s unique expertise in mission-critical, end-to-end processes and semantically rich data with Databricks’ world-class data engineering capabilities to create a groundbreaking solution that helps organizations do more with their data than ever before.”
Ali Ghodsi, Co-founder and CEO of Databricks, echoed this sentiment, stating, “Every company on the planet wants to get more value out of their data and greater returns on their AI investments. By joining forces with SAP, we’re helping organizations bring together all their data—regardless of format or where it lives—to govern, analyze, and build domain-specific AI applications on the Databricks Data Intelligence Platform.”
A key feature of the SAP Business Data Cloud is its suite of pre-built analytical applications, known as “insight apps.” These applications are fully managed and come with predefined metrics, AI models, and planning capabilities, simplifying the process of connecting and integrating various business functions. For instance, organizations can utilize these apps to gain a comprehensive view of their financial health, including real-time visibility into cash flow and profitability.
The platform also emphasizes openness and customer choice, allowing businesses to connect all their data by leveraging business data fabric principles. This approach facilitates easier discovery, sharing, governance, and modeling of data. By integrating Databricks as a first-party data service, users can apply advanced AI and machine learning models to their business data without the need for costly data extraction.
This collaboration between SAP and Databricks marks a significant milestone in the evolution of enterprise data management, offering businesses a robust platform to harness the full potential of their data in the age of AI.