April 07 - 08, 2025
Westin Copley Place, Boston MA
Michelle Dunivan, PhD is a dynamic leader in data analytics with extensive experience transforming data into actionable insights for mission-driven organizations. As the current Senior Director of Insights and Analytics at Best Friends Animal Society, Michelle launched the Shelter Pet Data Alliance, serving over 2,200 animal welfare organizations across the U.S. She is recognized for her ability to scale data initiatives, including integrating machine learning models that improve live outcomes in animal shelters, and for creating impactful data governance programs to support AI and strategic decision-making. Previously, Michelle led analytics and data integrity at the Judicial Branch of Arizona, where she implemented innovative tools to improve decision-making, automate processes, and enhance data quality across the organization. Her leadership in data-sharing platforms, predictive analytics, and automation has resulted in efficiency gains and strategic improvements for both public and nonprofit sectors. With a PhD in Communication from the University of Arizona, Michelle combines her expertise in data with a passion for problem-solving and organizational transformation. A former board member of the National Association of Court Management and member of Women Leaders in Data and AI, she is committed to fostering data-driven cultures that drive positive outcomes in cause-driven organizations.
In this presentation, we’ll show you what is transferable to a non-profit mission driven organization from large, for-profit enterprises, and some unique tactics needed for a successful MDM implementation in these types of organizations. We'll discuss some of the benefits of smaller teams, as well as how to capitalize on the natural overlap not-for-profit organizations are most familiar with. Join us to see how an organization actually implemented MDM, and the actual impact that it had on their success.
Check out the incredible speaker line-up to see who will be joining Michelle.
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