Proceedings of the 1st International Conference on Sustainable Management and Innovation, ICoSMI 2020, 14-16 September 2020, Bogor, West Java, Indonesia

Research Article

Visual Analysis of Data Sales Using the Knime Platform Template - A Study at PT. Soho Global Health Alliance Division Cirebon

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  • @INPROCEEDINGS{10.4108/eai.14-9-2020.2304500,
        author={Eman  Sulaiman and Suliyanto  Suliyanto and Najmudin  Najmudin},
        title={Visual Analysis of Data Sales Using the Knime Platform Template - A Study at PT. Soho Global Health Alliance Division Cirebon},
        proceedings={Proceedings of the 1st International Conference on Sustainable Management and Innovation, ICoSMI 2020, 14-16 September 2020, Bogor, West Java, Indonesia},
        publisher={EAI},
        proceedings_a={ICOSMI},
        year={2021},
        month={5},
        keywords={industry 40 marketing sales data knime visual analysis},
        doi={10.4108/eai.14-9-2020.2304500}
    }
    
  • Eman Sulaiman
    Suliyanto Suliyanto
    Najmudin Najmudin
    Year: 2021
    Visual Analysis of Data Sales Using the Knime Platform Template - A Study at PT. Soho Global Health Alliance Division Cirebon
    ICOSMI
    EAI
    DOI: 10.4108/eai.14-9-2020.2304500
Eman Sulaiman1,*, Suliyanto Suliyanto1, Najmudin Najmudin1
  • 1: Universitas Jenderal Soedirman
*Contact email: emans.aero@gmail.com

Abstract

Industry 4.0 Era data is very important and is the starting point for managers to make decisions on the next step. Sales data generally have been presented and processed using Ms. Excel. This has limitations in visualizing, the purpose of this study is to bridge the limitations of the author by conducting a visual study of sales data analysis using the open-source KINIME Platform template. The results show that using KNIME Data visualization can be done easily and quickly (drag and drop node) using the template provided. The empirical advantage of this study is that it makes it easier for target managers to manage data, and big data is used as a basis for companies to plan everything. Theoretically adding knowledge about big data to marketing theory. Future research in The database can be used for terms of machine learning and artificial intelligence for marketing.