Development of a predictive maintenance strategy for the data and IT infrastructure

Development of a data-driven and condition-based maintenance process, which is worth over €5 million.   Annual savings potential identified

More efficient maintenance shows savings potential of €5 million annual

The prototypical application creates transparency about historical Maintenance

Data strategy and platform architecture for AI


A DAX-listed energy supplier would like to have a data-suitable IT and business architecture. Furthermore, maintenance costs are to be of its systems and exemplified by the component LuVo (air preheater) the feasibility can be demonstrated


In the [at] Architecture and Roadmap Workshop, the technology and data basis is determined. This is followed by the exploration of the existing data sources and reviewing identified Requirements. A holistic process and data view of the IT and PDV systems developed. A data generating  Maintenance process is designed and the business case developed. 


The architecture and data strategy depends on the concrete needs of the use-Case requirements derived. A prototypical Predictive Maintenance App for planning and an interactive process click-Dummy are created. A requirements analysis including a business case for data collection is also available. 

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An automotive company would like to visualise various market-specific data in order to create a Competitive analysis for the US market.


There will be a interactive and Flexible application, including of different maps with two different views implemented.


Relevant markets are identifies, analyses and visualises. The dealer or the respective sales department have the possibility to compare the direct competition with their own product and to visualise the relevant data.

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