Modernization of company to digital processes by implementing a new data approach for industrial operations

Abstract

This paper focuses on the critical role of data as a key asset in the modern enterprise. The proposed approach involves the creation of an integrated data architecture that enables the collection, processing, analysis and visualization of real-time data from various industrial sources (e.g. IoT sensors, manufacturing systems, ERP). A key aspect is the application of advanced analytical methods, including machine learning, for predictive maintenance, quality optimization and energy consumption management.