Hello
The ROCK Cloud platform is an excellent tool for managing & processing LiDAR data, but enhancing its data visualization capabilities could significantly improve user experience and functionality. Currently; users may encounter challenges in effectively visualizing large datasets / customizing views for detailed analysis. 
While the existing tools are robust; there is room to expand and refine these features to cater to a broader range of use cases.
One area of improvement could involve introducing dynamic filtering and layering options. This feature would allow users to toggle specific data types, such as vegetation, buildings, or ground points, directly within the interface.
Coupled with a streamlined user interface; this would make navigating complex datasets more intuitive, especially for users who need quick insights or are working under tight deadlines.
Additionally; integrating advanced visualization features like heatmaps or gradient overlays could add value to the platform. These tools could help users identify patterns, trends, or anomalies within the dataset more efficiently.
By prioritizing these enhancements, ROCK Cloud could solidify its position as a go-to platform for LiDAR data analysis and visualization. I have referred the ROCK Knowledgebase, which offers detailed articles and tutorials ROCK Cloud - ROCK Knowledgebase selenium guide .
Thank you !