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The Executive Guide to Agentic Data and Analytics
, Senior Product Marketing Manager, Salesforce
, Product Marketing Manager, Salesforce
Role: Data Analyst
Product: Tableau
Tableau Product: Tableau Cloud, Tableau Next, Tableau Server
Session Level: Intermediate
Session Type: Theater
- Wednesday, May 63:00 PM - 3:20 PM PDT(10:00 PM - 10:20 PM GMT)Theater 1 | Data Village, Ground LevelFIRST COME FIRST SEATED
Session Summary: The session explored the findings of the 'State of Data and Analytics' report, a global study surveying business and technical leaders across 17 countries on the impact of AI on data infrastructure and governance. Over 75% of business leaders and two-thirds of technical leaders reported immense pressure to demonstrate the value of data and AI, with 63% of businesses identifying as highly data-driven, reflecting a 10-point growth in data culture strength. However, trust issues persist as over a quarter of data is deemed untrustworthy, and 43% of companies lack formal data governance frameworks, leading to inefficiencies and challenges in aligning AI outputs with business goals. Tableau, as the first authentic analytics platform, supports organizations by transforming both structured and unstructured data into actionable insights, powered by its knowledge and decision engines, ensuring AI investments are aligned with strong data foundations and business strategies.
Key Takeaways:
• 89% of business leaders admitted to making decisions based on incomplete or untrusted data, highlighting the urgent need for better data reliability and governance frameworks.
• 84% of companies believe their current data strategies need to be entirely rethought to maximize AI's potential, with many CIOs allocating 4% more budget to data infrastructure than AI itself.
• Tableau's authentic analytics capabilities enable organizations to build trusted data foundations, seamlessly integrate AI, and drive data-driven decision-making across industries.
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Available Now on Salesforce+: Watch now
