Kibana, a part of the Elastic Stack, allows users to create detailed maps using custom boundaries through reverse geocoding, which can enhance decision-making by transforming IP addresses into geographic coordinates. By using the GeoIP processor, Kibana can map user locations to varying levels of precision, such as city or neighborhood, which is more accurate than country-level mapping. The process involves creating, indexing, and integrating geospatial data and custom boundaries, such as Combined Statistical Areas (CSA) from the Census Bureau, into Elasticsearch. Users can enrich documents with CSA identifiers using a geo-match enrichment policy and a targeted pipeline. This enriched data can then be visualized in Kibana's Maps app, allowing for the creation of maps that highlight user activity hotspots in specific metro areas, which can be useful for marketing campaigns or stakeholder presentations. Overall, the ability to customize map boundaries in Kibana expands the scope of geographic insights available to users, encouraging them to explore new ways of mapping and analyzing data.