Dashboards aren't dead, they're just demoted

Amid debates about the supposed obsolescence of dashboards in the data analytics domain, it's argued that dashboards are not "dead," but rather have been overextended in their roles, leading to dissatisfaction with their effectiveness. Initially, dashboards revolutionized data reporting by providing a more intuitive and insightful way to present data, elevating them from simple productivity tools to enterprise-grade platforms. However, as they became ubiquitous, they struggled under the weight of increased expectations to answer all possible questions, which they aren't equipped to handle. The proposal is to reposition dashboards to focus on tasks they excel at, such as predefined reporting and progress tracking, while allowing more flexible and exploratory data analysis to be handled by other tools and models. The goal is to integrate dashboards as supportive team players in data workflows, complemented by AI analytics platforms that enable a cyclical process where data insights are built, shared, and explored collaboratively between data teams and stakeholders.