@article{MAKHILLIBM202115527558,
    title = {Data Driven: The Decision-Making improved by the Strength of Data},
    journal = {International Business Management},
    volume = {15},
    number = {5},
    pages = {203-211},
    year = {2021},
    issn = {1993-5250},
    doi = {ibm.2021.203.211},
    url = {https://makhillpublications.co/view-article.php?issn=1993-5250&doi=ibm.2021.203.211},
    author = {Alisson Paulo and},
    keywords = {prediction models,analytics,big-data,artificial intelligence,Data-driven,steelmaking},
    abstract = {Data is considered a primary resource for
innovation. The existence of a large amount of available
data as well as technological tools capable of explore
them, allows companies to extract information that can be
used to create and implement new ideas and new projects.
To this end, the details regarding the care that
organizations should have with data are explored. The
difficulties regarding the adoption of data-driven approach
and some measures to implement this type of decisionmaking
approach are discussed. A real example of
prediction model for decision making that is based on
industrial data is also discussed. This example shows the
difficulties in the preparation of data for the development
of these models which confirms that most of the time
spent in the construction of predictive models it is due to
this step. The use of the data-driven approach allows
organizations to obtain superior results in their processes,
thus becoming a tremendous competitive advantage and
a special strategic factor in a highly competitive market,
regardless of the field of activity.}
    }