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

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publication4th International Congress on Information and Communication Technology, ICICT 2019, Volume 1
EditorsXin-She Yang, Simon Sherratt, Nilanjan Dey, Amit Joshi
PublisherSpringer
Pages449-457
Number of pages9
ISBN (Print)9789811506369
DOIs
StatePublished - 1 Jan 2020
Event4th International Congress on Information and Communication Technology, ICICT 2019 - London, United Kingdom
Duration: 27 Feb 201928 Feb 2019

Publication series

NameAdvances in Intelligent Systems and Computing
Volume1041
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

Conference4th International Congress on Information and Communication Technology, ICICT 2019
CountryUnited Kingdom
CityLondon
Period27/02/1928/02/19

Keywords

  • CRISP-DM
  • Data analytics
  • Non-profit SMEs

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  • Cite this

    Montalvo-Garcia, J., Quintero, J. B., & Manrique-Losada, B. (2020). Crisp-dm/smes: A data analytics methodology for non-profit smes. In 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