SAC's Q1 2025 enhancements — AI-powered natural-language queries, seamless Datasphere integration and expanded Excel export — transform enterprise financial planning and analytics workflows.
Modern businesses increasingly rely on AI and generative AI to automate decision-making and enhance analytics. SAP Analytics Cloud continues advancing these with Q1/Q2 2025 features — emphasising integration with large language models, expanded planning, and productivity innovations.
'Just Ask' with SAP HANA Cloud
The natural-language query feature, powered by SAP HANA Cloud's vector engine, uses word embeddings and similarity queries. Q1 2025 adds multi-currency capabilities: default currency queries based on model variables, real-time conversion across major currencies, defined conversion measures, and local-currency breakdowns. This enables self-service analytics and frees teams for strategic work.
Looking ahead to Q2 2025
Planned improvements: full SAP Datasphere model support, advanced natural-language understanding, retrieval-augmented generation, administrator-defined synonyms and rules, and unified query across acquired and Datasphere models.
Seamless planning with SAP Datasphere
New integration enables direct planning-model deployment from SAC to Datasphere spaces, with facts and master data residing entirely in Datasphere — enabling real-time plan-versus-actual reporting and optimised hardware capacity usage.
Excel integration and export
SAC strengthens Microsoft Excel connectivity: Excel workbook integration within calendar tasks, CSV export expanded to 10 million cells / 300 columns, and Excel file expansion to 10 million cells, 300 columns and 1,048,576 rows — plus full table reset in the Excel add-in.
Conclusion
SAP Analytics Cloud establishes itself as an industry standard for AI-driven analytics through generative-AI integration and enhanced enterprise planning — with 2025 updates demonstrating a commitment to self-service analytics, seamless planning and data-management flexibility.
