The concept of "insights" in data analysis has been widely discussed, but it's argued that agency is a more important dimension when it comes to the role of data teams. Agency refers to the ability to influence decision-making and drive impact, rather than just providing accurate information. The author suggests that data teams should focus on both accuracy and effectiveness, and that there are four quadrants: High-Impact Partners (high accuracy and high agency), Low-ROI-Trivia Team (high accuracy but low agency), "At Least No One Listens to Them" (low accuracy and low-agency), and Drunk Drivers (low accuracy and high agency). The author believes that many data teams think they're either in the first two quadrants or don't know what to do about it. To achieve agency, data teams need to focus on presentation, socialization, and persuasion, as well as speed and pragmatism. The ability to build trusted relationships and influence among stakeholders is also crucial, but this requires human delivery mechanisms such as charisma and accountability. Ultimately, the author believes that more data people are needed who can figure out how to impact the business with their insights.