A neural networks portable and Agnostic Implementation Environment for Business Transformation Projects the framework

A complex Business Transformation Project (BTP) needs a qualified Business Transformation Manager (BTM) to manage the complex implementation phase of the BTP. A BTM must be assisted with the optimal framework for a plethora of BTP's types of problems and phases. Tooling support for such projects is one of the main focuses of the business transformation research project that started in the year 2010. In this research paper, the authors try to prove that the BTM must be supported by a framework to help him or her (in further text for simplicity “he”) in business engineering problems solving and to enhance his knowledge that is mainly based on: a) real-time business transformation issues; b) various technology fields interaction; c) building of decision making systems; and d) organizational engineering expertise. The authors apply an adequate mixed research methodology, design and prototyping that is based on a real-world framework; used to build and assess this research subproject's Agnostic Implementation Environment (AIE) feasibility. The AIE is considered to be the research sub-project's implementation and its technical and managerial benefit. This current phase's objective is to offer a framework with AIE capacities. The implementation of this research and the proposed framework offer a neural networks reasoning module that supports an implementation environment that has to cope with complex BTPs. As result, it proposes the AIE concept.