The third wave of democratizing geospatial has brought significant advances in self-service spatial analytics. User-defined parameters empower end-users to filter and manipulate their data, enabling them to derive insights easily and saving time for both data analysts and end-users. This approach optimizes queries on cloud data warehouses, reducing processing costs. By putting analytical capabilities in the hands of non-experts, user-defined parameters promote efficient exploration of spatial data, cutting down on analysis time while focusing on more complex analytics. The use of these parameters requires careful consideration of factors like data quality, complexity, and spatial scale, as well as providing relevant information to end-users to facilitate interpretation of results. With the help of tools like CARTO, users can unlock the full potential of their geospatial data to gain valuable insights for decision-making.