Emile Schario (Netlify) and Taylor Murphy (Meltano) contend that the most effective data teams operate as if they are building Data Products (defined as the collection of data and tools used to generate, access, and analyze it) for customers (their colleagues). They discuss why service-oriented teams cannot effectively identify high-potential opportunities but also offer suggestions for how data teams can balance the needs of disparate stakeholders through coordination and communication. In addition, they recommend defining KPIs that measure the business impact of the Data Product and leveraging User Stories to discuss and deliver upon customer needs. They conclude with a set of tips related to headcount, roles, and financing.