From Big Data to Big Business

Using the Research-based DataProfit Model for Data-driven Growth

    Research output: Other contributionNet publication - Internet publicationCommunication

    Abstract

    Idea in Brief:
    Problem: There is an enormous profit potential for manufacturing firms in big data, but one of the key barriers to obtaining data-driven growth is the lack of knowledge about which capabilities are needed to extract value and profit from data.
    Solution: We (BDBB research group at CBS) have developed a research-based capability mapping tool, entitled DataProfit, which the public business consultants can use to upgrade their tool kit to enable data-driven growth in manufacturing organizations.
    Benefit: The DataProfit model/tool comprises insights of an extensive research project that has been developed and tested in a multitude of manufacturing organizations – thus making it both a proven solution and a new idea. Moreover, resources for the application of the model are freely available online.
    Original languageEnglish
    Publication date2017
    Publication statusPublished - 2017

    Cite this

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    title = "From Big Data to Big Business: Using the Research-based DataProfit Model for Data-driven Growth",
    abstract = "Idea in Brief:Problem: There is an enormous profit potential for manufacturing firms in big data, but one of the key barriers to obtaining data-driven growth is the lack of knowledge about which capabilities are needed to extract value and profit from data.Solution: We (BDBB research group at CBS) have developed a research-based capability mapping tool, entitled DataProfit, which the public business consultants can use to upgrade their tool kit to enable data-driven growth in manufacturing organizations.Benefit: The DataProfit model/tool comprises insights of an extensive research project that has been developed and tested in a multitude of manufacturing organizations – thus making it both a proven solution and a new idea. Moreover, resources for the application of the model are freely available online.",
    author = "{Lund Pedersen}, Carsten",
    note = "Senest {\ae}ndret: 01/06/2017",
    year = "2017",
    language = "English",
    type = "Other",

    }

    From Big Data to Big Business : Using the Research-based DataProfit Model for Data-driven Growth. / Lund Pedersen, Carsten.

    2017, Webartikel.

    Research output: Other contributionNet publication - Internet publicationCommunication

    TY - ICOMM

    T1 - From Big Data to Big Business

    T2 - Using the Research-based DataProfit Model for Data-driven Growth

    AU - Lund Pedersen, Carsten

    N1 - Senest ændret: 01/06/2017

    PY - 2017

    Y1 - 2017

    N2 - Idea in Brief:Problem: There is an enormous profit potential for manufacturing firms in big data, but one of the key barriers to obtaining data-driven growth is the lack of knowledge about which capabilities are needed to extract value and profit from data.Solution: We (BDBB research group at CBS) have developed a research-based capability mapping tool, entitled DataProfit, which the public business consultants can use to upgrade their tool kit to enable data-driven growth in manufacturing organizations.Benefit: The DataProfit model/tool comprises insights of an extensive research project that has been developed and tested in a multitude of manufacturing organizations – thus making it both a proven solution and a new idea. Moreover, resources for the application of the model are freely available online.

    AB - Idea in Brief:Problem: There is an enormous profit potential for manufacturing firms in big data, but one of the key barriers to obtaining data-driven growth is the lack of knowledge about which capabilities are needed to extract value and profit from data.Solution: We (BDBB research group at CBS) have developed a research-based capability mapping tool, entitled DataProfit, which the public business consultants can use to upgrade their tool kit to enable data-driven growth in manufacturing organizations.Benefit: The DataProfit model/tool comprises insights of an extensive research project that has been developed and tested in a multitude of manufacturing organizations – thus making it both a proven solution and a new idea. Moreover, resources for the application of the model are freely available online.

    M3 - Net publication - Internet publication

    ER -