A framework for creating value from fleet data at ecosystem level

Sini-Kaisu Kinnunen, Salla Marttonen-Arola, Timo Kärri, Jyri Hanski

    Research output: Contribution to journalArticleScientificpeer-review


    As companies have recently gotten more interested in utilizing the increasingly gathered data and realizing the potential of data analysis, the ability to upgrade data into value for business has been recognized as an advantage. Companies gain competitive advantage if they are able to benefit from the fleet data that is produced both in and outside the boundaries of the company. Benefits of fleet management are based on the possibility to have access to the massive amounts of asset data that can then be utilized e.g. to gain cost savings and to develop products and services. The ambi-tion of the companies is to create value from fleet data but this requires that different actors in ecosystem are working together for a common goal - to get the most value out of fleet data for the ecosystem. In order that this could be possi-ble, we need a framework to meet the requirements of the fleet life-cycle data utilization. This means that the different actors in the ecosystem need to understand their role in the fleet data refining process in order to promote the value creation from fleet data. The objective of this paper is to develop a framework for knowledge management in order to create value from fleet data in ecosystems. As a result, we present a conceptual framework which helps companies to develop their asset management practices related to the fleet of assets.
    Original languageEnglish
    Pages (from-to)163-167
    JournalManagement Systems in Production Engineering
    Issue number3
    Publication statusPublished - 2017
    MoE publication typeA1 Journal article-refereed


    • fleet data
    • ecosystem
    • framework
    • value
    • data refining
    • asset management


    Dive into the research topics of 'A framework for creating value from fleet data at ecosystem level'. Together they form a unique fingerprint.

    Cite this