Asset Management


Smart management of assets requires to look ahead. In order to make the right decisions, you need to collect, interpret and enhance data – this helps to preserve the balance between expenses, performance and risk. The industry is facing more significant technical challenges related to assets, the growing complexity of processes, and the assurance of technical expertise. This calls for an integrated approach.

Knowledge management is crucial to the learning organisation. There is a need for focus within the organisation on new roles and positions, including econometrists who streamline data and specialists who assure security during the digitalisation of processes. Cooperation within consortiums plays a role outside the organisation. Knowledge management and the utilisation of public sources are important. In order to make decisions in time, it is necessary to shed the ‘silo mentality’. The more efficient the data management, the more quickly maintenance decisions can be made.

Data management provides control

Structural data management provides control and real-time information on managed assets and the conditions of maintenance. The shift to performance contracts puts engineering in the spotlight. Sustainability and effectiveness are easier to determine based on data and experiences gained from other projects. This improves asset management operations.

Aspects of smart management:

  • Sustainability is assigned to a role during the design process;
  • Assets can be recorded and managed at the detail level;
  • Maintenance plans can be scheduled based on property details;
  • Data-driven processes improve the predictability of maintenance;
  • Access to performance data and maintenance history;

Data management plays a leading role in process innovation

The structured classification of assets provides information on performance and maintenance history. The operational process can subsequently be adapted more effectively to asset management objectives. The process of optimizing maintenance concepts and processes arising from long-term data management provide advantages.

From design to maintenance

The transition from design and implementation to the maintenance of assets creates a number of technical, process-related and knowledge-related challenges. There is a correlation between these various aspects. Anyone who understands this correlation and responds to it in an integrated manner can achieve tomorrow’s asset management objectives.

Customer references

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