TY - GEN
T1 - Crisp-dm/smes
T2 - 4th International Congress on Information and Communication Technology, ICICT 2019
AU - Montalvo-Garcia, Jhon
AU - Quintero, Juan Bernardo
AU - Manrique-Losada, Bell
N1 - Publisher Copyright:
© Springer Nature Singapore Pte Ltd. 2020.
PY - 2020/1/1
Y1 - 2020/1/1
N2 - 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.
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.
KW - CRISP-DM
KW - Data analytics
KW - Non-profit SMEs
UR - http://www.scopus.com/inward/record.url?scp=85077121191&partnerID=8YFLogxK
U2 - 10.1007/978-981-15-0637-6_38
DO - 10.1007/978-981-15-0637-6_38
M3 - Contribución a la conferencia
AN - SCOPUS:85077121191
SN - 9789811506369
T3 - Advances in Intelligent Systems and Computing
SP - 449
EP - 457
BT - 4th International Congress on Information and Communication Technology, ICICT 2019, Volume 1
A2 - Yang, Xin-She
A2 - Sherratt, Simon
A2 - Dey, Nilanjan
A2 - Joshi, Amit
PB - Springer
Y2 - 27 February 2019 through 28 February 2019
ER -