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. We've released a special edition series of minisodes of our podcast. Recorded live at Data Connect 2024, our host Michael Toland engages in short, sweet, informative, and delightful conversations with five prevelant practitioners who are forging their way forward in data and technology.

In this minisode, Michael reconnects with his former colleague Lindsay Murphy as she delves into a crucial yet often overlooked aspect of data management—cost containment. Lindsay's session at Data Connect 2024 emphasizes the importance of considering costs as a critical piece of your data team's ROI. While data teams often focus on value creation and return on investment, they can easily lose sight of the expenses associated with the complex stacks they build. Lindsay offers practical insights on how to strike a balance between innovation and cost-efficiency.

Plus, a special shout-out to Lindsay's new podcast, Women Lead Data—hurrah! This podcast is set to inspire and empower women in the data industry, providing a platform for sharing experiences, insights, and strategies for success.

• About our host Michael Toland: Michael is a Product Management Coach and Consultant with Pathfinder Product, a Test Double Operation. Since 2016, Michael has worked on large-scale system modernizations and migration initiatives at Verizon. Outside his professional career, Michael serves as the Treasurer for the New Leaders Council, mentors with Venture for America, sings with the Columbus Symphony, and writes satire for his blog Dignified Product. He is excited to discuss data product management with the podcast audience. Connect with Michael on LinkedIn
• About our guest Lindsay Murphy: Lindsay is a data leader with 13 years of experience in building and scaling data teams. She has successfully launched and led data initiatives at startups such as BenchSci, Maple, and Secoda. Her expertise includes developing internal data products, implementing modern data stack infrastructures, building and mentoring data engineering teams, and crafting data strategies that align with organizational goals. An active member of the data community, Lindsay organizes the Toronto Modern Data Stack Meetup group, which boasts over 2,500 members. She has also taught Advanced dbt to more than 100 students through Uplimit and hosts a weekly podcast, Women Lead Data, where she shares insights and amplifies the voices of women in the data industry. Connect with Lindsay 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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