Abstract: The present invention relates to the field of digitally accessing, modeling and optimizing scattered ‘big-data’ from various assets having complex and dynamic physical relationships. The present disclosure also relates to a system and method for supporting version-of-the-truth from multiple data sources and for multiple disciplines. It helps organizations that possess various physical assets that are been utilized by multiple user groups and through a period of time to optimize operations, conduct surveillance and manage complex business processes related to their valuable assets and equipment. The invention is built with an open architecture to connect to various corporate databases combining real-time and relational data. The system employs exception-based surveillance, sophisticated queries, and no-code methods to automatically detect deviations in asset performance from optimal conditions, and flag them to the right users, at the right time, and in the right way.

Abstract: The present invention relates to the field of digitally accessing, modeling and optimizing scattered ‘big-data’ from various assets having complex and dynamic physical relationships. The present disclosure also relates to a system and method for supporting version-of-the-truth from multiple data sources and for multiple disciplines. It helps organizations that possess various physical assets that are been utilized by multiple user groups and through a period of time to optimize operations, conduct surveillance and manage complex business processes related to their valuable assets and equipment. The invention is built with an open architecture to connect to various corporate databases combining real-time and relational data. The system employs exception-based surveillance, sophisticated queries, and no-code methods to automatically detect deviations in asset performance from optimal conditions, and flag them to the right users, at the right time, and in the right way.