Crisp-dm/smes: A data analytics methodology for non-profit smes

Jhon Montalvo-Garcia, Juan Bernardo Quintero, Bell Manrique-Losada

Resultado de la investigación: Capítulo del libro/informe/acta de congresoContribución a la conferencia

Resumen

The exponential increase in information due to technological advances and the development of communications has created the need to make decisions based on the data analysis. This trend has opened the doors to new approaches to data understanding and decision-making. On the one hand, companies need to follow data analytic methodologies to manage large volumes of information with big data tools. On the other hand, there are non-profit small and medium-sized enterprises (SMEs) that make efforts to address data analytics according to their different sources and types. They find challenges such as lack of knowledge in methodological and software tools, which allow timely deployment for decision-making. In this paper, we propose a data analytics methodology for non-profit SMEs. The design of this methodology is based on CRISP-DM as a reference framework, is represented by Software Process Engineering Metamodel (SPEM) and is characterized by being simple, flexible, and low implementation costs.

Idioma originalInglés
Título de la publicación alojada4th International Congress on Information and Communication Technology, ICICT 2019, Volume 1
EditoresXin-She Yang, Simon Sherratt, Nilanjan Dey, Amit Joshi
EditorialSpringer
Páginas449-457
Número de páginas9
ISBN (versión impresa)9789811506369
DOI
EstadoPublicada - 1 ene 2020
Evento4th International Congress on Information and Communication Technology, ICICT 2019 - London, Reino Unido
Duración: 27 feb 201928 feb 2019

Serie de la publicación

NombreAdvances in Intelligent Systems and Computing
Volumen1041
ISSN (versión impresa)2194-5357
ISSN (versión digital)2194-5365

Conferencia

Conferencia4th International Congress on Information and Communication Technology, ICICT 2019
PaísReino Unido
CiudadLondon
Período27/02/1928/02/19

Huella dactilar

Decision making
Industry
Process engineering
Software engineering
Communication
Costs
Big data

Citar esto

Montalvo-Garcia, J., Quintero, J. B., & Manrique-Losada, B. (2020). Crisp-dm/smes: A data analytics methodology for non-profit smes. En X-S. Yang, S. Sherratt, N. Dey, & A. Joshi (Eds.), 4th International Congress on Information and Communication Technology, ICICT 2019, Volume 1 (pp. 449-457). (Advances in Intelligent Systems and Computing; Vol. 1041). Springer. https://doi.org/10.1007/978-981-15-0637-6_38
Montalvo-Garcia, Jhon ; Quintero, Juan Bernardo ; Manrique-Losada, Bell. / Crisp-dm/smes : A data analytics methodology for non-profit smes. 4th International Congress on Information and Communication Technology, ICICT 2019, Volume 1. editor / Xin-She Yang ; Simon Sherratt ; Nilanjan Dey ; Amit Joshi. Springer, 2020. pp. 449-457 (Advances in Intelligent Systems and Computing).
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Montalvo-Garcia, J, Quintero, JB & Manrique-Losada, B 2020, Crisp-dm/smes: A data analytics methodology for non-profit smes. En X-S Yang, S Sherratt, N Dey & A Joshi (eds.), 4th International Congress on Information and Communication Technology, ICICT 2019, Volume 1. Advances in Intelligent Systems and Computing, vol. 1041, Springer, pp. 449-457, 4th International Congress on Information and Communication Technology, ICICT 2019, London, Reino Unido, 27/02/19. https://doi.org/10.1007/978-981-15-0637-6_38

Crisp-dm/smes : A data analytics methodology for non-profit smes. / Montalvo-Garcia, Jhon; Quintero, Juan Bernardo; Manrique-Losada, Bell.

4th International Congress on Information and Communication Technology, ICICT 2019, Volume 1. ed. / Xin-She Yang; Simon Sherratt; Nilanjan Dey; Amit Joshi. Springer, 2020. p. 449-457 (Advances in Intelligent Systems and Computing; Vol. 1041).

Resultado de la investigación: Capítulo del libro/informe/acta de congresoContribución a la conferencia

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AB - The exponential increase in information due to technological advances and the development of communications has created the need to make decisions based on the data analysis. This trend has opened the doors to new approaches to data understanding and decision-making. On the one hand, companies need to follow data analytic methodologies to manage large volumes of information with big data tools. On the other hand, there are non-profit small and medium-sized enterprises (SMEs) that make efforts to address data analytics according to their different sources and types. They find challenges such as lack of knowledge in methodological and software tools, which allow timely deployment for decision-making. In this paper, we propose a data analytics methodology for non-profit SMEs. The design of this methodology is based on CRISP-DM as a reference framework, is represented by Software Process Engineering Metamodel (SPEM) and is characterized by being simple, flexible, and low implementation costs.

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Montalvo-Garcia J, Quintero JB, Manrique-Losada B. Crisp-dm/smes: A data analytics methodology for non-profit smes. En Yang X-S, Sherratt S, Dey N, Joshi A, editores, 4th International Congress on Information and Communication Technology, ICICT 2019, Volume 1. Springer. 2020. p. 449-457. (Advances in Intelligent Systems and Computing). https://doi.org/10.1007/978-981-15-0637-6_38