In this podcast episode, Sam Ramji and Jesse Anderson discuss the importance of having a data team in an organization to help drive business decisions with data-driven insights. They explore the problems that data teams encounter, such as accessing data and overcoming barriers posed by technology and cost. The conversation highlights the need for effective team structures within data teams, which should ideally consist of three different teams: data science, data engineering, and operations. Each team has a distinct responsibility to help get value from data. Anderson emphasizes that building a unified data team with clear roles and responsibilities is crucial for an organization's success in leveraging big data insights.