One of the most important conclusions resulting from this project is the diagnosis that digitization of the global industry radically changes methods of value creation in facility management. State of the art analysis shows that the industry evolves and changes business and technical landscape: the hitherto typical sources of revenue in facility management such as repairs, technical interventions, inspections, or maintenance are gradually superseded by increased automation and digitization of the industry. Reactive approach to maintenance is replaced by predictive techniques that help to foresee failures and faults and respond to them before they happen. Instead of on-site inspections telemetry and remote sensing supported by digital models (twins) of systems and installations help to monitor and simulate the health of the infrastructure, providing support for decision-making.
Hence, SESCOM has decided to bring to facility management methods and services that so far have been reserved for power generation, electricity grid, critical infrastructures, and production plants. In light of the conducted state of the art analysis and technical design of the targeted software system, SES-BI platform will support big data processing and the so-called 4V (Volume, Velocity, Variety, Veracity) challenge resulting therefrom. SES-BI will enable real-time data acquisition with the use of Internet of Things. Finally, SESCOM will implement algorithms that will supplement usual descriptive analytics with advanced diagnostic, predictive, and predictive methods with special focus on predictive maintenance.
Feasibility study shows that such approach has significant commercial potential. In order to exploit it, SESCOM has already designed several dozens of business intelligence and data-analytical services that will make up company’s portfolio encapsulated in the “SESCOM intelligence” brand.
