Business Intelligence Readiness Assessment for a Shopping Mall: Challenges and Future Directions

Business Intelligence Readiness Assessment for a Shopping Mall: Challenges and Future Directions

Pedro Julian Ramirez-Angulo, Rosa Alexandra Chaparro Guevara
Copyright: © 2020 |Volume: 22 |Issue: 2 |Pages: 16
ISSN: 1548-7717|EISSN: 1548-7725|EISBN13: 9781799804789|DOI: 10.4018/JCIT.2020040102
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MLA

Ramirez-Angulo, Pedro Julian, and Rosa Alexandra Chaparro Guevara. "Business Intelligence Readiness Assessment for a Shopping Mall: Challenges and Future Directions." JCIT vol.22, no.2 2020: pp.18-33. http://doi.org/10.4018/JCIT.2020040102

APA

Ramirez-Angulo, P. J. & Guevara, R. A. (2020). Business Intelligence Readiness Assessment for a Shopping Mall: Challenges and Future Directions. Journal of Cases on Information Technology (JCIT), 22(2), 18-33. http://doi.org/10.4018/JCIT.2020040102

Chicago

Ramirez-Angulo, Pedro Julian, and Rosa Alexandra Chaparro Guevara. "Business Intelligence Readiness Assessment for a Shopping Mall: Challenges and Future Directions," Journal of Cases on Information Technology (JCIT) 22, no.2: 18-33. http://doi.org/10.4018/JCIT.2020040102

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Abstract

This case takes place at SCC, a recognized shopping mall located in Cali, Colombia. In March 2018, Javier Ortiz, CEO of SCC, contacted a group of researchers to identify the key success factors before the implementation of business intelligence practices. For this, the researcher's group conducted a set of deep semi-structured interviews to establish the current state of processes, people and technologies around business information. With this information, a business intelligence maturity stage model is presented to identify a low level of business intelligence practices, that represents a long list of challenges to be faced by the SCC with a limited budget. This case focuses on how to analyze the business intelligence readiness assessment using exploratory analysis, and seeks to promote the skills and competencies oriented to prioritize actions based on research to improve decision making before a business intelligence implementation project.