A Relational DataBase based Enterprise Transformation Projects

Abstract

Enterprise Transformation Projects (ETP) are important for ensuring long-term business sustainability and operational excellence, but these projects are complex to finalize and have a high failure rate. Transformation complexities are related to various concurrent factors like the use of sets of uncoherent commercial tools/products, simplistic gap estimations, status evaluations, needed cross-functional skills, and many others. Therefore, there is a need to implement an In-House Implemented (IHI) methodology and framework to support ETPs. But such IHI solutions take a long time to be implemented and to be tested; and this article tries to propose a realistic solution that is based on DataBase (DB) or more precisely Relational DBs (RDB). RDB-based IHI solutions and concepts can be gradually built on the usage of internal information systems without the need for continuous colossal investments in external products. The proposed RBD concept tries to show it can support an ETP because the RDB is a component that is used in all ETP operations and subsystems. RDBs contain all the needed information, structures, integrity check mechanisms, and applied mathematical constructs. The proposed RDB-based ETP (RDBbETP) concept adopts a Polymathic-holistic approach, which used iterative change and implementation phases. The RDBbETP uses the author’s Applied Holistic Mathematical Model (AHMM) to interface and manage the RDB (AHMM4RDB).