Stewardship and Staging of Information for Enterprise Mining

In an enterprise setting, a major challenge for any data mining operation is managing the information, be it data or metadata, to ensure a stable and certifiably accurate flow of data. The data feeds are complex, numerous and often quite opaque. The management of frequently changing data, metadata and other information feeds presents a considerable challenge. In this paper, we articulate the technical issues involved in the task of managing enterprise data and propose a multi-disciplinary solution derived from fields such as knowledge engineering and statistics, to understand, standardize and automate information quality management for enterprise mining.