Tracking Business Value with Data Science Portfolio Management (Katya Hall, Director of Enterprise Analytics, McKesson)

<p>You may not have a formal “portfolio management” function within your data science team, but in all likelihood, you’re executing some of its key components already.&nbsp;</p> <p></p> <p>But being more intentional around portfolio management can pay big dividends. Without it, you could be missing out on a powerful and holistic way of demonstrating the value your team provides to the business.</p> <p></p> <p>In this episode, <a href="https://www.linkedin.com/in/katya-hall-7a3394a/" target="_blank">Katya Hall</a>, Director of Enterprise Analytics at <a href="https://www.mckesson.com/" target="_blank">McKesson</a>, explains how the portfolio management process sets the groundwork for defining KPIs that track the actual value derived from predictive models and insights. Plus, she shares her thoughts on a process for validating model accuracy and managing risk.</p> <p></p> <p>We discuss:</p> <p>- Tips for working with business counterparts</p> <p>- Data science portfolio management</p> <p>- Model risk management</p> <p>- Supply chain analytics</p> <p></p> <p><em>Tune in on </em><a href="https://podcasts.apple.com/us/podcast/data-science-leaders/id1564587119" target="_blank"><em>Apple Podcasts</em></a><em>, </em><a href="https://open.spotify.com/show/0zJgKGIHZzJG1VgSDHNojP" target="_blank"><em>Spotify</em></a><em>, our </em><a href="https://www.dominodatalab.com/data-science-leaders-podcast/" target="_blank"><em>website</em></a><em>, or wherever you listen to podcasts.</em></p> <p></p> <p><em>Can’t see the links above? Just visit </em><a href="http://domino.buzz/podcast" target="_blank"><em>domino.buzz/podcast</em></a><em> for helpful links from each episode.</em></p>