Jay Greenberg's blog post discusses utilizing Kibana and a custom tile server to visually analyze NHL play-by-play data from the 2016-2017 season. The NHL provides JSON-formatted data for each game's plays, including details such as play type, players involved, and coordinates on the ice. By importing this data into Elasticsearch and using Kibana dashboards, users can generate visualizations like timelines and pie charts to analyze plays and team performance. The post details the creation of a custom map tile server using GeoServer to correctly visualize play locations on a hockey rink. This involves converting an arena image to a GeoTIFF, setting up GeoServer, and configuring Kibana to use this custom map. The blog encourages further exploration, such as analyzing goalie vulnerability or penalty trends, and invites readers to experiment with the data themselves.