Finnish technology companies have shifted their focus from product delivery to life cycle services. Therefore they are currently developing global fleet based industrial services, which are seen as means to sharpen their competitiveness. The objects of these services, the customer asset fleets, are typically complex and expensive, and they are characterized with high profitability, efficiency and safety demands. Also the demand for locally customized global services and changing business ecosystems increase service operation complexity and risk the service efficiency. In order to manage the risk related to the fleet service delivery and provide services adding customer value, these services are information intensive and require life-cycle data collection also on the customer sites. Currently technical and economic life-cycle data is often fragmented in value ecosystems (networks) around the fleet and its full potential is rarely utilized. Therefore innovative technological solutions are needed which better enable integration, harmonization, sharing and standardization of life-cycle data. The key to novel service delivery is, however, to process and upgrade the accumulated data into business knowledge which can be used in enhanced decision-making and network level cooperation. This should open new opportunities not only for typical fleet services like maintenance but also to new business models, e.g. performance based contracts and shared use of assets, to 3rd party services and even to novel digital product lines. This deliverable is the first in the series of reports representing the description of Data to Business Knowledge (D2BK) model and its implementation in industrial ecosystems. The deliverable collects the state-of-the art practices in participating companies on life-cycle information and business data sharing, asset governance, decision making processes and end-customers' business ecosystems. The deliverable also presents an analysis of the different data sources (e.g. hard and soft data) and decision-making needs in the ecosystem. In addition, the deliverable outlines the case studies of the participating companies. The research and development work described in this deliverable has been conducted in the "Fleet based industrial data symbiosis" project. Project belongs to the "Service Solutions for Fleet Management" program under FIMECC Service Business theme (FIMECC/S4Fleet P3). Project focuses on the area of the critical enabling technologies and drives research that enables the vision of global fleet based service business.
|Number of pages||29|
|Publication status||Published - 2015|
|MoE publication type||D4 Published development or research report or study|
- business knowledge
- data sources
- Fleet Asset Management
- industrial services
- life cycle
Kortelainen, H., Kunttu, S., Valkokari, P., Ahonen, T., Kinnunen, S-K., Ali-Marttila, M., Herala, A., Marttonen-Arola, S., & Kärri, T. (2015). D2BK Data to Business Knowledge Model. Fimecc S4Fleet Project 3 SP 1 Fl making: Data Sources and Decision making needs.