Speaker Bio
Aura Popa is a Senior Research Director at Gartner, focusing on BI, Analytics and Data Science.
Ms. Popa advises Data and Analytics leaders on making the most from their data through best practices in applying advanced analytics to solve complex business problems, using data visualization and storytelling to convey the findings to a broader audience. She is also passionate about how to organize Analytics and Data Science teams, with a focus on design, development, training, instruction and data literacy.
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Sessions
Monday, 11 May, 2026
02:30 PM - 04:00 PM BST
Workshop: Avoiding the Top Mistakes in Your Dashboard Through Best Practices in Data Storytelling
Aura Popa,
Sr Director Analyst, Gartner
D&A value relies on data storytelling, which engages audiences better than BI reports or data science notebooks. Join this session to learn the fundamentals of data storytelling and how to bridge the gap between data science experts and decision makers. Discover how to craft compelling stories and upscale data storytelling for the future in the GenAI landscape.
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Tuesday, 12 May, 2026
04:00 PM - 04:30 PM BST
Establish AnalyticsOps to Scale and Govern Analytics Content in the GenAI Era
Aura Popa,
Sr Director Analyst, Gartner
Analytics has always been "ground zero" for citizen developers and the low-code/no-code movement. However, the shift toward generative AI and the avalanche of analytics content will overwhelm current analytics operating models, which are already struggling to scale delivery.
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Wednesday, 13 May, 2026
12:15 PM - 12:45 PM BST
Data Storytelling in the Realm of Generative AI
Aura Popa,
Sr Director Analyst, Gartner
D&A value is not possible without data storytelling that offers a better way to engage communication findings than just BI reporting or data science notebooks. Join this session to know about the fundamentals of data storytelling and how to fill the gap between data science speakers and decision makers. It further discusses how to tell the best data storytelling and how to upscale data storytelling for future in landscape of GenAI.
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