Dynatrace is enhancing its observability tools, emphasizing the integration of manual data analysis with automated AIOps for comprehensive insights. As digital systems grow, traditional dashboards and AIOps are seen as complementary rather than opposing methods, necessitating a balance for effective data analytics. Dynatrace's Data Explorer, introduced to facilitate data visualization and analysis, has been upgraded with features like dynamic filtering, auto-extended filtering, and customizable visualizations to ease use and improve functionality. These enhancements aim to reduce manual configuration and maintenance, offering a smarter, more interactive platform for monitoring complex cloud ecosystems. The improvements include the ability to customize number formats and colors, along with new chart types, which collectively simplify the visualization of metrics and enhance user experience. With upcoming updates, Dynatrace plans to phase out older custom chart functionalities, urging users to transition to the new Data Explorer for a more streamlined analytics process that aligns with modern enterprise needs.