Critical success factors for Big Data adoption in the virtual retail: Magazine Luiza case study

Abstract

Purpose -The objective of this research was to identify critical success factors for the adoption of Big Data in the virtual retail, through a case study of Magazine Luiza. The use of Big Data, in this case, focused on improving its system of recommendations for a better understanding of consumer behavior.Design/methodology/approach -The case study was done through interviews, observation of the shopping recommendation system and analyzes of institutional presentations of the Bob project. A semistructured interview script was used in the interviews.Findings -Based on the results, we outline some propositions related to the opportunities and obstacles for the implementation of Big Data in the virtual retail in Brazil. Some of these propositions are in line with what literature, especially BI, has been discussing. However, they still need to be discussed in the context of Big Data.Originality/value -The main contribution of the research was the identification of relevant factors to the adoption of Big Data that were not considered as critical for the adoption of previous technologies.

Big data analytics and key success factor in achieving competitive advantage and performance of small medium enterprises: literature review

“…Content analysis methods and assessment quality for selected literature, few articles were selected as high-quality literature that can be used to answer specific research questions in this SLR study. Studies by (Eybers&Hattingh, 2017); (Zaher Ali, 2020); (Zaher Al-sai, 2022); (Huang, 2019); (Adrian, 2017); (Onofre&Teixeira, 2022); (Muniz Felix, 2018), have investigated factors influencing the successful implementation of BDA. A study by Evers investigated CSFs of BDA and Business Intelligence systems (Zaher Ali, 2020).…”

“…The key to the successful implementation of BD in an organization is not only based on sufficient technical capabilities for analyzing data. Data management also plays the most important role in the implementation phase (Muniz Felix, 2018). In addition, the availability of effective assessment tools with clarity of layout can be used as a basis for managers in making informed decisions toward successful implementation (Agha, 2019).…”

Applying Scrum in Data Science Projects

“…A user story can be put in a sprint backlog if it is small enough to be finished within one sprint [11]. Last, an increment is the deliverable of a sprint and consists of several user stories that together result in a working or a semi-finished product [21]. For the stakeholders, the increments are an indicator of the progress that has been made [14,23].…”

“…The development team is responsible for creating working products. The team should be small enough to act quickly, but also large enough to get work done [21]. Therefore, team size is recommended between 3 to 9 members.…”

La interactividad y la conectividad al servicio de la industria de la confección

“…Se ha evidenciado una motivación por investigar y adaptar este nuevo paradigma, al comprender que "las decisiones controladas por los datos tienden a ser mejores decisiones" [52]. Así, la aceptación del Big Data representa un cambio estratégico en la industria, enfocado en: 1) reducción de costos e incremento de los ingresos; 2) mejora de la eficiencia operacional; 3) optimización de riesgos y operaciones; 4) mejora en la toma de decisiones; 5) innovación con productos o servicios; 6) mejora en la experiencia del cliente; y 7) transformación de los modelos de procesos y negocios a relevancia continua en los cambios de escenario [58], [59].…”