Pulido, RubenSieb, ChristophHärder, TheoLehner, WolfgangMitschang, BernhardSchöning, HaraldSchwarz, Holger2019-01-172019-01-172011978-3-88579-274-1https://dl.gi.de/handle/20.500.12116/19605During the last decade data mining and predictive tools have evolved to a mature level. Many companies and organizations use those techniques to derive advanced insight from their company data. Today, mining experts analyze the data and manually deliver the results to a rather small number of decision makers. To make data mining insights available to a broader audience, manual delivery is not sufficient anymore. Suitable delivery vehicles are reporting systems, which are well known to business users. However, in most cases there is no straight forward delivery path. Much manual work and knowledge is necessary to make the insights consumable by reporting systems. In this work we propose a system that allows fast and easy delivery of data mining insights to report servers. The system automatically analyzes and transforms mining results, generates reports and deploys them to the report server.enText/Conference Paper1617-5468