Kapow Software, who Praescient has worked with on several analytic projects and demonstrations, provides unprecedented agility in delivering IT solutions to urgent business demands for application integration, including cloud integration, process automation, content migration, mobile-enablement, business intelligence and web intelligence. In this demonstration, Kapow utilized a mashup server development environment to create mashup components, which are software agents or “robots” that programmatically collect content from any application with a web interface, to analyze a problem experienced in the Gulf of Mexico.

During Hurricane Katrina, many deep water oil rigs sustained heavy damages complicated by the lack of timely data on rapidly changing weather conditions throughout the Gulf Region. The following mashup example illustrates a solution to this problem by combining data from multiple public data sources in innovative ways.

Kapow‘s ability to input variables to search, load a web page, and collect relevant information unique to the identity of each oil rig, such as name and location (i.e. latitude, longitude), showcases the streamlined process of analyzing pertinent weather information regarding water temperature, air temperature, and general weather conditions. As described in the demonstration, the finished mashup provides a description of each oil rig, weather information which is updated at intervals of 15 minutes, and an alert capability which is triggered in the event of extreme weather conditions.

Kapow provides mashups with measurable business value, in this case powered by three robots collecting data from four public websites. Like Kapow says, “If you can see it on a webpage, we can mash it up,” which means that if you see content they can provide exceptional value.