S1 Ep#18 Enhancing Decision-Making with Data Products

Show Notes 

The Data Product Management In Action podcast, brought to you by Soda and executive producer Scott Hirleman, is a platform for data product management practitioners to share insights and experiences. 

In Season 01, Episode 18, our host Frannie Helforoush is back again interviewing Katy Pusch about her extensive experience in data product management, particularly with decision-support data products. Katy shares her insights on incorporating machine learning and analytics to empower stakeholders in making informed decisions. They both explore team structure, the challenges encountered in product development, and the critical importance of validating products with users to ensure their effectiveness.

• About our host Frannie Helforoush: Frannie's journey began as a software engineer and evolved into a strategic product manager. Now, as a data product manager, she leverages her expertise in both fields to create impactful solutions. Frannie thrives on making data accessible and actionable, driving product innovation, and ensuring product thinking is integral to data management. Connect with Frannie on LinkedIn.

• About our guest Katy Pusch: Katy brings more than a decade of experience in product management and market strategy, driving market change and adoption of innovative technology solutions. She has successfully built and launched data products, IoT solutions, and SaaS platforms in multiple industries such as healthcare, education, and real estate. She is currently serving as a Sr.Product Line Director at Trintech. With a background in research, she brings data science and market intelligence to every aspect of her work. Katy is passionate about data privacy and tech-ethics, and is pursuing an MS in History and Sociology of Technology and Science at GeorgiaTech. When she’s not working with her team to deliver top solutions, Katy enjoys spending time with her husband, building Lego models, and pursuing a private pilot license. Connect with Katy on LinkedIn.

All views and opinions expressed are those of the individuals and do not necessarily reflect their employers or anyone else. 

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