Of the vast volume of data accumulated by Recruit, ATL particularly analyzes unstructured data. From 2012, we have harnessed our findings from validating and rolling out Hadoop and Solr to each of Recruit’s operations and used new findings discovered from large amounts of text data to improve products and strengthen client and customer relations. Currently we are working with the various Recruit businesses to sort text using morphological analysis and machine learning, meaning analysis, text summarization, text correction and so on. In the future we plan to utilize social data and change speech to text, as well as analyze unstructured data other than text.