SAPinsider Research Webinar: Enterprise Data and Analytics in the Era of AI
Wednesday, February 11, 2026 at 2:00 PM ET
Meet the Experts
Key Takeaways
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Digital businesses generate vast amounts of data, essential for driving innovation and achieving key business outcomes like improved forecasting accuracy and enhanced customer experiences.
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Research conducted by SAPinsider highlights the importance of data and analytics maturity in impacting enterprise strategies, identifying challenges and key traits across organizations.
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The benchmark report provides insights on technologies utilized for building data foundations and showcases success stories from Data Leaders in leveraging analytics effectively.
Enterprise data and analytics teams are at an inflection point as AI moves from experimentation to execution and digital businesses generate more data than ever before. SAPinsider’s latest benchmark report, “Enterprise Data and Analytics in the Era of AI,” reveals how organizations are modernizing their data foundations, where Data Leaders are pulling ahead, and which gaps are holding others back from realizing the full value of AI and analytics. With respondents spanning industries, roles, and regions, the findings provide a data-driven view into how enterprises are structuring their data strategies, investing in platforms, and aligning business and IT to become truly data‑driven and AI‑enabled.
In this session, SAPinsider analysts will walk through the key data shaping enterprise data and analytics strategy, including the impact of maturity on business outcomes, the technologies used to build scalable data foundations, and the traits that consistently define Data Leaders. Attendees will gain a research‑backed view of how peers are governing data, integrating SAP and non‑SAP sources, and operationalizing analytics and AI, along with practical recommendations they can apply to their own roadmaps.
Join this session to:
Explore related questions
- Understand how data and analytics maturity correlates with improvements in forecasting accuracy, decision speed, customer experience, and other KPIs.
- Learn which platforms, tools, and architectural patterns organizations are using to build AI‑ready data foundations across SAP and non‑SAP landscapes.
- Hear which challenges respondents identify as most difficult, including data quality, governance, skills gaps, and aligning business and IT expectations.
- See how Data Leaders structure teams, processes, and operating models to scale analytics and AI use cases across the enterprise.
- Gain guidance on the steps organizations should take now to move from fragmented reporting to an integrated, AI‑enabled data and analytics strategy.
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