The right team is crucial here: it has to consist of data scientists, business users, App devs and EDW IT. New Style Teradata thus tries to find analytical solutions. It is important to move ideas from hypothesis to operationalization. Agile methods to support needs of personas or the elimination of unproductive ideas as early as possible supports the process. "We enhance the data scientist user experience with a choice of industry favorite analytic tools", emphasizes Brobst - thanks to the evolution of Teradata from a database to an analytical platform. 

Dr. Diana Mantel

The graph engine for example can show the events leading to a shutdown. Customer experiences are important here, too, to find out the channels which were important. The combination of several engines is crucial. Looking at the paths leading to a special customer transfer provides the opportunity to find the perfect paths and moments to intervene. 

Dr. Diana Mantel