D2BK Data to Business Knowledge Model. Fimecc S4Fleet Project 3 SP 1 Fl making: Data Sources and Decision making needs

Helena Kortelainen, Susanna Kunttu, Pasi Valkokari, Toni Ahonen, Sini-Kaisu Kinnunen, Maaren Ali-Marttila, Antti Herala, Salla Marttonen-Arola, Timo Kärri

    Research output: Book/ReportReport

    Abstract

    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.
    Original languageEnglish
    Number of pages29
    Publication statusPublished - 2015
    MoE publication typeD4 Published development or research report or study

    Fingerprint

    Decision making
    Ecosystems
    Industry
    Life cycle
    Information services
    Standardization
    Profitability
    Economics

    Keywords

    • business knowledge
    • data sources
    • Fleet Asset Management
    • industrial services
    • life cycle

    Cite this

    Kortelainen, Helena ; Kunttu, Susanna ; Valkokari, Pasi ; Ahonen, Toni ; Kinnunen, Sini-Kaisu ; Ali-Marttila, Maaren ; Herala, Antti ; Marttonen-Arola, Salla ; Kärri, Timo. / D2BK Data to Business Knowledge Model. Fimecc S4Fleet Project 3 SP 1 Fl making : Data Sources and Decision making needs. 2015. 29 p.
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    abstract = "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.",
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    author = "Helena Kortelainen and Susanna Kunttu and Pasi Valkokari and Toni Ahonen and Sini-Kaisu Kinnunen and Maaren Ali-Marttila and Antti Herala and Salla Marttonen-Arola and Timo K{\"a}rri",
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    D2BK Data to Business Knowledge Model. Fimecc S4Fleet Project 3 SP 1 Fl making : Data Sources and Decision making needs. / Kortelainen, Helena; Kunttu, Susanna; Valkokari, Pasi; Ahonen, Toni; Kinnunen, Sini-Kaisu; Ali-Marttila, Maaren; Herala, Antti; Marttonen-Arola, Salla; Kärri, Timo.

    2015. 29 p.

    Research output: Book/ReportReport

    TY - BOOK

    T1 - D2BK Data to Business Knowledge Model. Fimecc S4Fleet Project 3 SP 1 Fl making

    T2 - Data Sources and Decision making needs

    AU - Kortelainen, Helena

    AU - Kunttu, Susanna

    AU - Valkokari, Pasi

    AU - Ahonen, Toni

    AU - Kinnunen, Sini-Kaisu

    AU - Ali-Marttila, Maaren

    AU - Herala, Antti

    AU - Marttonen-Arola, Salla

    AU - Kärri, Timo

    N1 - Project code: 104824 PGN: 29 p.

    PY - 2015

    Y1 - 2015

    N2 - 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.

    AB - 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.

    KW - business knowledge

    KW - data sources

    KW - Fleet Asset Management

    KW - industrial services

    KW - life cycle

    M3 - Report

    BT - D2BK Data to Business Knowledge Model. Fimecc S4Fleet Project 3 SP 1 Fl making

    ER -