Digital technologies for the efficient design of value creation network
Digitalization and disruptive innovations have significantly raised the competitive pressure on companies. The current “coronavirus crisis” has precipitated the event that experts have been predicting for a longer time because of the weak growth rates in many areas: a new recession. The spotlight directed at the optimization of process and cost structures has intensified. This is where digitalization shows its second face. Digital technologies such as cloud, automation, 5G, and AI offer companies new solutions for process optimization in many areas, often accompanied by improved cost structures and qualified opportunities for employee assignments. This efficiency potential is far from exhausted!
Detecon possesses pronounced digital technology expertise for the assessment of the strategic use of these technologies and can advise clients appropriately. Our competence in conjunction with our many years of experience in strategy and process consulting in a broad range of industries makes Detecon your competent partner for tailored efficiency programs based on digital technology.
Detecon Digital Efficiency Index
Our maturity level analysis for your industry: the Detecon Digital Efficiency Index presents an assessment of the maturity level of an industry in terms of its realization of digital efficiency. The initial assessment is based on Detecon’s expert opinion and is continuously compared against and enriched with the results from internal and external studies.
Our clients, our projects
Analysis of the technical and economic feasibility of the 5G campus network and development of a professional concept, including available 5G products.
Provision of information, tasks, and checklists on mobile devices to speed up processing and save costs (e.g., printing costs).
SaaS solutions in combination with AR/VR technologies reduce complex process structures and expensive hardware in the games industry.
Setup of the “Internet of Things” for asset and maintenance and use of the findings to optimize processes and use of large data volumes.