Dashboards have long been seen as the hallmark of a data-driven organization, but the reality is they often fall short of delivering true insight. They emerged as a solution to messy data and limited analytical tools, providing a way to visualize information and generate questions rather than answers. The author reflects on their extensive experience building dashboards, noting that while they can display what has happened, they rarely lead to strategic decisions. Instead, they tend to create more questions, leaving users stuck without a deeper understanding. Organizations that focused heavily on dashboards encountered predictable problems, such as long turnaround times for analytics requests and superficial insights. This approach prioritized surface-level reporting over developing robust analytical systems. The article introduces the concept of "agentic analytics," which aims to bridge the gap between visibility and genuine insight. Instead of relying on dashboards, this approach emphasizes reasoning systems that operate directly on the data warehouse, enabling analysts to teach these systems how to derive meaning from complex queries. In this new framework, data analysts shift from merely creating dashboards to becoming context stewards, training systems to understand the nuances of business questions. This transition allows deeper, faster investigations and reduces duplicated efforts. While dashboards still play a role in reporting key performance indicators and aligning metrics, they should not be viewed as the ultimate goal. The article argues for a future where context-driven agents provide reliable, timely insights, moving beyond static reporting to deliver the answers organizations truly need.