With Consulting Services, #siemens offers a wide range of support for #digital transformation in the process industry: Digitalization Consulting, Consulting for Optimized Processes (COP), and Data Analytics Consulting. #siemens uses workshops, status quo analysis, detailed implementation strategies, in-depth process knowledge, and intensive consulting services to support its customers in their journey toward a #digital enterprise. Operators of plants in the process industry can generate specific competitive advantages and ensure future success in the market.
The success of a company depends increasingly on its degree of digitalization – which is a challenge even for established companies in the process industry. #siemens already provides support in this area to numerous global customers from sectors such as the chemical, pharmaceutical, biotechnology, water, glass, and food industry, providing analysis, design and optimization of their plants. Digitalization Consulting starts with a workshop. Together, #siemens and the customer define the aims of #digital transformation. This is followed by an analysis of the degree of automation and digitalization of the existing plant (the maturity check). This analysis in turn forms the basis of the implementation strategy, which leads to a roadmap with concrete recommendations for action.
Process expertise is key
For Consulting for Optimized Processes (COP), consulting specialists offer concrete advice in terms of procedures and processes, and provide customers with product knowledge as well as extensive, practical process expertise. This means that in the crucial early phases of planning for production and laboratory plants, customers receive the certainty of an optimized process engineering solution, which is the basis for added value.
Optimum use of data
When it comes to data and its function as a means to increase process efficiency, Data Analytics Consulting plays a key role. This service includes data analyses as part of the consulting service. Extended data analyses and machine learning methods provide new insights into existing data sources as well as tasks defined together with the customer. For production, aspects such as performance, transparency, and efficiency can be highlighted, while for quality management, aspects include process documentation, conformity to standards, and data integrity.
Fit for the future
Depending on the degree of digitalization of customer plants, consulting specialists provide support through consultation, develop concepts, and pave the way for each individual company to achieve #digital transformation. The aim is to digitally simulate all procedures, processes, and intralogistics as a means of generating competitive advantages.
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