The digital transformation is also impacting asset management. Firstly, the assets to be maintained are changing. Secondly, innovative technologies are providing new ways for proceeding more effectively and efficiently in asset management – for example, intelligent maintenance concepts can be implemented with early warning systems and predictive maintenance. The producers of assets and the maintenance service providers can establish new digital business models. The question is only: How can this succeed?
The answer is: Data-driven asset management. Here, all data for asset management and in particular for the maintenance that are produced by the rapidly growing number of sensors are used. In order to be successful, however, more than access to an enormous volume of data is required. A clear strategy, neat processes and value-driven use cases are required in order to derive an individual technological stack. This ensures that the technological components are also appropriate to the specific requirements and the asset management strategy.
In our MHPDeepDive "Smart Asset Management", we will present our tried and tested procedure model for the step-by-step realization of data-driven asset management. In addition, we will familiarize you with how you can develop use cases that raise your maintenance to a new level.
What awaits you in our MHPDeepDive:
- You will find out what data-driven asset management is and what its strengths are
- You will obtain an overview of our tried and tested procedure model
- We will show how practically oriented maintenance of the future can be implemented with intelligent asset management
Speakers:
Alexander Braun
Senior Manager | Digital Supply Chain
Dominik Graetz
Senior Consultant | BigData & IoT Technologies
