Product intelligence is crucial for modern data teams to unlock valuable insights from the exploding volumes of data, thereby providing organizations with a competitive advantage. While early digital metrics like page views once sufficed, today's data teams are expected to deliver actionable insights that drive business results such as increased revenue and improved customer retention, often guided by clearly defined Objectives and Key Results (OKRs). The challenge lies in aligning metrics with business priorities and maintaining a balance between building robust data infrastructures and achieving immediate business improvements. Effective data teams must work cross-functionally to ensure their insights lead to implemented solutions, overcoming potential resistance from other departments by demonstrating tangible results. As companies grow, the structure of data teams may evolve from embedded roles to centralized resources, reflecting an investment in data-driven strategies. Ultimately, demonstrating the business impact of data initiatives, fostering interdepartmental collaboration, and educating stakeholders on data's value are essential for the ongoing success and expansion of data teams.