The IT industry has learned by now how to optimize Relational Data Bases for performance, often by duplicating and structuring the data into star and flake schema structures, and how to use Object Oriented languages to develop applications.
The one major problem that has not found a solution yet is how to guarantee that the solutions provided correspond to the real business requirements. In fact most solutions today, correspond only somewhat to the business needs.
The major reason for this gap consists of the fact that requirement formulation is today more an art than a science. Most commonly, requirements are captured in the form of loosely written text documents that contain ambiguity, and leave many questions un-unanswered. And that is even more of a problem in the area of information management than in the area of application functionality development.
One of the major purposes of IT is to provide an enterprise with the means of controlling and using its information asset as a competitive advantage. Or, that job is not being done very well today.
OORIANE proposes a scientific approach for analyzing the information as it is required by the business. This approach is based on natural language and can be understood by all. It guarantees correct capture of business requirements, once the business concepts are clear. It proposes a powerful repository driven tool that supports this approach.