At SAP, we are dedicated to helping organizations harness the potential of their business data. In March, we introduced SAP Datasphere and an open data ecosystem to simplify data landscapes using a business data fabric.
Connecting, unifying, and managing SAP and third-party data is now more effortless than ever. Industry leaders like Porsche, Hanes, and Bosch use SAP Datasphere for self-service access to trusted business data across any cloud infrastructure.
During the SAP Data Unleashed virtual event, we are advancing our mission to empower organizations with data and AI.
Organizations face the challenge of managing distributed data landscapes across various silos in the cloud and on-premises. SAP Datasphere addresses this by enabling a business data fabric architecture, allowing seamless and scalable access to all data without duplication. This ensures data and planning professionals can securely access data wherever it resides. Notably, implementing a business data fabric architecture with SAP Datasphere can result in savings of up to 138% compared to third-party solutions.
At SAP, we recognize the importance of understanding real-world business data usage in the AI era. With our extensive experience in managing mission-critical business processes, we know the significant impact of business data on performance.
We are thrilled to introduce the SAP Datasphere knowledge graph. This new feature allows organizations to uncover hidden insights and patterns within their systems and applications. It enables both technical and business users to understand data relationships, metadata, and business processes better, enhancing the efficiency of machine learning and large language models (LLMs).
SAP revolutionizes enterprise planning by integrating financial, operational, supply chain, and workforce planning into a unified business data fabric architecture.
The integration of SAP Datasphere with SAP Analytics Cloud offers a unified data management system and advanced analytics. This allows planners to use a flexible model for data preparation, modeling, planning, and analytics, breaking down silos and enabling thorough analysis for informed decision-making.
The new SAP Analytics Cloud compass utilizes Monte Carlo simulation, allowing business users to run complex simulations through a chat interface. This predicts possible outcomes, helping organizations find the optimal plan for better planning and analytics outcomes.
Harness the potential of generative AI with SAP Analytics Cloud, offering AI-driven data exploration, automated planning, and in-depth analysis using Joule copilot. This is achieved through SAP HANA Cloud‘s vector capabilities, which integrate powerful LLMs with your organization’s data, maintaining business context for all AI outputs.
Integrating generative AI within an organization necessitates reliable and governed data. To help customers effectively manage their data and AI policies, processes, and life cycles, we are pleased to announce an expanded partnership with Collibra. Building on the previous integration of SAP Datasphere with Collibra, we will now also integrate Collibra’s AI Governance platform with SAP’s data and analytics solutions.