STUDY PROTOCOL article
Front. Glob. Women’s Health
Sec. Quality of Life
Volume 6 - 2025 | doi: 10.3389/fgwh.2025.1617845
Assessing the Impact of a Business Intelligence Program on the Employability and Well-Being of Low-Income Women: A Quasi-Experimental Study Protocol
Provisionally accepted
Marco Faytong-Haro1*
Alonso Quijano-Ruiz2Daniel Sanchez2
Patricio Alvarez-Muñoz1Jose Diaz-Montenegro1Maria Jose Delgado-Rendon3Stephanie Gallegos-Caamaño2Andrea Angulo-Prado3Manuel Murrieta-Vasquez4
Karla Robles-Velasco5
Ivan Cherrez-Ojeda5Angélica-María Sánchez-Riofrío5Monica Izurieta Guevara6
Claudia Reytor-González6
Daniel Simancas6*- 1State University of Milagro, Milagro, Ecuador
- 2Ecuadorian Development Research Lab, Daule, Ecuador
- 3Instituto Superior Tecnológico Argos, Guayaquil, Guayas, Ecuador
- 4Universidad Casa Grande, Guayaquil, Guayas, Ecuador
- 5Espiritu Santo University, Guayaquil, Guayas, Ecuador
- 6Facultad de Ciencias de la Salud Eugenio Espejo, Universidad Tecnológica Equinoccial, Quito, Pichincha, Ecuador
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Women are underrepresented globally in the field of data analytics, particularly in underdeveloped countries. We present a protocol to assess the impact of the New Dimensions program, a data analytics and business intelligence course sequence that aims to address this gender gap by providing free business intelligence training to disadvantaged women in Ecuador. The program offers both technical (Business Intelligence) and soft skills training, including Excel, Power BI, SQL, GitHub, R, Tableau, statistics, Python, and workshops on empowerment, employability, and public speech. The purpose of this quasi-experimental study is to assess the impact of this training program on employability and other well-being outcomes of the participants. A total of 80 individuals will be part in the study, of which 70 will be selected to participate in the program, 50 will receive both hard and soft skills training, and 20 only soft skills training. Ten individuals will form part of the control group with no intervention. The study design involves a nonrandomized control group composed of rejected applicants. Data will be collected through an online application form and a computer-based exam. The outcome measures are participants' labor market outcomes, income, food security, and economic stratification, among others. This protocol will prospectively evaluate the program's potential effectiveness; findings will inform future, larger randomized studies focused on employability and well-being in underrepresented groups.
Keywords: Business Intelligence Training, employability, Gender gap in STEM, Data Analytics Education, Quasi-experimental design, economic empowerment, low-income women
Received: 28 Apr 2025; Accepted: 29 Sep 2025.
Copyright: © 2025 Faytong-Haro, Quijano-Ruiz, Sanchez, Alvarez-Muñoz, Diaz-Montenegro, Delgado-Rendon, Gallegos-Caamaño, Angulo-Prado, Murrieta-Vasquez, Robles-Velasco, Cherrez-Ojeda, Sánchez-Riofrío, Izurieta Guevara, Reytor-González and Simancas. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Marco Faytong-Haro, mfaytongh@unemi.edu.ec
Daniel Simancas, claudiareytor@gmail.com
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.