Application of the open operating system ‘MindSphere’ in digital transformation of high-tech enterprises

Abstract

The article is devoted to the peculiarities of the open operating system (OS) application MindSphere in digital transformation of high-tech enterprises. The theoretical part of the article notes that nowadays digital transformation already has a huge impact on various aspects of business, such as strategy, partner management, production, pricing, sales, promotion, and organizational structure. The main task of the MindSphere platform is to provide fast and cost-effective connection of the equipment fleet, data collection, and analysis in order to obtain significant production and business results. The MindSphere platform integrates all data sources: Product Lifecycle Management (PLM), Enterprise Resource Planning (ERP), Manufacturing Execution Systems (MES), Quality Management Systems (QMS), Customer Relationship Management (CRM) and Internet of Things (IOT) into one analysis center. In the course of the analysis, the authors found that the MindSphere OS allows for the effective unification, search, filtering and evaluation of data taking into account the context, which gives a significant synergetic effect and provides a basis for intelligent decision-making, and therefore significantly reduces the cost and time to find sources of problems, allowing to focus on optimizing products, production and service, considering the creation of value and increase customer satisfaction. The authors point out that the implementation of IOT solutions opens up a new dimension for business owners in the view of their company based on data, and for the company itself provides previously inaccessible speed of operation, transparency of processes and their optimization, also raises the safety of work and other aspects of activity to a new level. In the final part of the article the authors conclude that MindSphere platform has all necessary qualities to be among the leaders of the Industrial IOT (IIOT), to provide customers with the opportunity to qualitatively transform IOT data into useful business results.