DataFramed #188 Scaling Enterprise Analytics with Libby Duane Adams, Chief Advocacy Officer and Co-Founder of Alteryx
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Mar 18, 2024 Libby Duane Adams, Chief Advocacy Officer and co-founder of Alteryx, shares her insights on scaling enterprise analytics. She discusses the shift from traditional business intelligence to agile analytics, emphasizing the role of speed and continuous learning in decision-making. Libby highlights the transformative potential of generative AI in analytics while addressing the importance of data quality and governance. She also shares success stories and mistakes businesses encounter, advocating for a culture that prioritizes upskilling in analytics across all levels.
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Modern Analytics vs. Traditional BI
- Modern data analytics allows agile use of all data sources, enabling rapid responses.
- Traditional BI was slow, limited, and not agile compared to today's data analytics.
Analytics as a Team Sport
- Data analytics is now used across every department in every size organization, not just by data scientists or IT.
- Data analytics is a required skill across teams, enabling everyone to gain insights from data.
AI Adoption Prerequisites
- Address privacy, security, and governance before implementing AI to avoid disasters.
- Prioritize data quality and governance to ensure responsible and effective AI adoption.