Key takeaways: Gap analysis to forecast data pipeline needs Work backward from the end-user point of view Every system has to have some human involvement Going beyond the initial scope of work to learn about a new industry Working with stakeholders to help them understand what goes into getting analytics to them Meet:  Trenton Huey is the Director of Data at Vida Health, which provides access to therapists, registered dietitians, and health coaches for mental and physical health conditions. His team drives innovation, clinical outcomes, and business growth through machine learning, AI, and reporting and analytics. If you have any questions for Trenton, please feel free to reach out via: https://www.linkedin.com/in/trentonhuey/ I hope you enjoyed the episode, the best place to connect with me is on Linkedin - https://www.linkedin.com/in/amirbormand (Amir Bormand). Please send me a message if you would like me to cover certain topics with future guests.