Mastering data as a product with Hudl's Lucas Smith

In this interview, Lucas Smith, Sr. Manager of Data Analytics at Hudl, discusses the concept of data as a product (DaaP) and how it has changed the way data teams work at Hudl. DaaP refers to treating data as a solution that can be commercialized for a problem, whether internal or external within a company. Lucas emphasizes that data on its own is not a product but rather raw material that needs to be transformed into a usable product by data teams. To achieve product-market fit, data teams should focus on the specific problems they are trying to solve and the solutions they can provide. Two frameworks that have helped guide Lucas and his team in their work are the North Star Metric Framework and the Strategic Bet Framework. These frameworks help align data projects with business objectives, prioritize initiatives, and set up ROI conversations. Overall, treating data as a product has allowed Hudl's data team to set more specific goals and achieve tangible results.