A methodology for Data Analytic Based on Organizational Characterization through a User-centered Design: A Position Paper
| dc.contributor.author | Astudillo B. | |
| dc.contributor.author | Santorum M. | |
| dc.contributor.author | Aguilar J. | |
| dc.contributor.department | Universidad EAFIT. Departamento de Ingeniería de Sistemas | spa |
| dc.contributor.researchgroup | I+D+I en Tecnologías de la Información y las Comunicaciones | spa |
| dc.date.accessioned | 2021-04-12T21:07:09Z | |
| dc.date.available | 2021-04-12T21:07:09Z | |
| dc.date.issued | 2020-01-01 | |
| dc.description.abstract | Data Analytic (DA) is currently a very important approach to obtain the best possible benefit of the data, but its degree of difficulty compared to other computational processes limits its implementation in organizations. In addition, it remains a term highly confused with respect to other areas of data science, such as data mining, and Big Data. There are few methodologies for its implementation, in addition, its complexity makes it non-participatory, with a certain degree of resistance on the part of the users. The knowledge and skills of users must be exploited when analyzing and producing the business intelligence necessary for the Data Analytic execution. In this position paper, we explore the possibilities of contribution through a Methodology for Data Analytic, which is extended with the incorporation of features extracted from a user-centered design (UCD) approach inspired by the ISEA methodology. This existing DA methodology, called MIDANO, will be extended using gamification techniques, to facilitate the applicability and understanding, in order to guarantee a participation of organizational actors, resulting in a Participatory Data Analytic Methodology. © 2020 IEEE. | eng |
| dc.identifier | https://eafit.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=12200 | |
| dc.identifier.doi | 10.1109/ICEDEG48599.2020.9096790 | |
| dc.identifier.isbn | 9781728158822 | |
| dc.identifier.other | SCOPUS;2-s2.0-85089149741 | |
| dc.identifier.uri | http://hdl.handle.net/10784/28781 | |
| dc.language.iso | eng | |
| dc.publisher | Institute of Electrical and Electronics Engineers Inc. | |
| dc.relation.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85089149741&doi=10.1109%2fICEDEG48599.2020.9096790&partnerID=40&md5=6b396a98623c66f42055c207e751ebb6 | |
| dc.rights | Institute of Electrical and Electronics Engineers Inc. | |
| dc.source | 2020 7th International Conference On Edemocracy And Egovernment, Icedeg 2020 | |
| dc.subject.keyword | Data | eng |
| dc.subject.keyword | Science | eng |
| dc.subject.keyword | User | eng |
| dc.subject.keyword | centered | eng |
| dc.subject.keyword | design | eng |
| dc.subject.keyword | Computational | eng |
| dc.subject.keyword | process | eng |
| dc.subject.keyword | Organizational | eng |
| dc.subject.keyword | actors | eng |
| dc.subject.keyword | Position | eng |
| dc.subject.keyword | papers | eng |
| dc.subject.keyword | User | eng |
| dc.subject.keyword | Centered | eng |
| dc.subject.keyword | Design(UCD) | eng |
| dc.subject.keyword | Data | eng |
| dc.subject.keyword | mining | eng |
| dc.title | A methodology for Data Analytic Based on Organizational Characterization through a User-centered Design: A Position Paper | eng |
| dc.type | info:eu-repo/semantics/conferencePaper | eng |
| dc.type | conferencePaper | eng |
| dc.type | info:eu-repo/semantics/publishedVersion | eng |
| dc.type | publishedVersion | eng |
| dc.type.local | Documento de conferencia | spa |