Business Intelligence Tutorial, Data Warehouse guide

The differences mentioned below are generic ones. At some places the corresponding version of the software is mentioned, which means it might be applicable to only that version. However, please be advised that with release of new version of the software some of the features and behaviours go for a change.

Text analytics applications are an important part of corporate efforts to reduce information glut and increase "find-ability" and are becoming a permanent part of the information processing landscape. The term text analytics describes a set of linguistic, lexical, pattern recognition, extraction, tagging/structuring, visualization, and predictive techniques. The term also describes processes that apply these techniques, whether independently or in conjunction with query and analysis of fielded, numerical data, to solve business problems.

These techniques and processes discover and present knowledge – facts, business rules, and relationships – that is otherwise locked in textual form, impenetrable to automated processing.