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Digitally connected industrial production promises faster and more efficient processes - in development and production, services, marketing & sales and for adapting entire business models. Agility and the ability to make changes in real time are strategic chracteristics of successful companies in Industrie 4.0. To acquire these features, it is necessary to create a continuously expanding data base. However, a company's organisational structure and culture also play an important part in determining whether this data's potential is leveraged effectively.
This acatech STUDY describes a new tool for helping manufacturing enterprises to forge their own individual path towards becoming a learning, agile company. The acatech Industrie 4.0 Maturity Index is a six-stage maturity model that analyses the capabilities in the area of resources, information systems, culture and organisational structure that are required by companies operating in a digitalised industrial environment. The attainment of each development stage promises concrete additional benefits for manufacturing companies. The model's practical application was validated in a medium-sized company.
The change from the traditional to the digital service provider is not easy. The digital maturity level of many industrial companies is still too low to successfully place these digital service innovations on the market. One problem of service development is the increasing involvement of information and communication technology in service development and implementation. The additional technology makes the innovation processes for services on the part of manufacturers increasingly complex by involving different internal and external stakeholders (e.g. IT partners, data protection officers or product development departments). In addition to this, data-driven services also require that manufacturers (e.g. data scientists) develop new competencies in order to use the customer data obtained to increase machine productivity and to offer new business models. Furthermore, industrial companies that want to successfully offer data-driven services must develop new market introduction strategies to create a high degree of acceptance and trust among their customers. This is necessary to get access to relevant data. These and other challenges caused the success rate of companies in regarding the development of new, industrial services to shrink.
To change this, this white paper presents six principles that help industrial enterprises to develop new successful data-driven services.